ML Anthology

ICCVW 2021

465 papers

1000 Pupil Segmentations in a Second Using Haar like Features and Statistical Learning Wolfgang Fuhl, Johannes Schneider, Enkelejda Kasneci
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3D High-Fidelity Mask Face Presentation Attack Detection Challenge Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Zijian Kong, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo
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3D Mask Presentation Attack Detection via High Resolution Face Parts Oleg Grinchuk, Aleksandr Parkin, Evgenija Glazistova
3D Scene Angles Using UL Decomposition of Planar Homography Pinak Paliwal, Vikas Paliwal
3D Semantic Label Transfer in Human-Robot Collaboration Dávid Rozenberszki, Gábor Sörös, Szilvia Szeier, András Lorincz
3D Shapes Local Geometry Codes Learning with SDF Shun Yao, Fei Yang, Yongmei Cheng, Mikhail G. Mozerov
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A 3D CNN Network with BERT for Automatic COVID-19 Diagnosis from CT-Scan Images Weijun Tan, Jingfeng Liu
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A Closed Form Solution for Viewing Graph Construction in Uncalibrated Vision Carlo Colombo, Marco Fanfani
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A Computer Vision-Based Attention Generator Using DQN Jordan B. Chipka, Shuqing Zeng, Thanura R. Elvitigala, Priyantha Mudalige
A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry Yuan Gao, Lok Hin Lee, Richard Droste, Rachel Craik, Sridevi Beriwal, Aris T. Papageorghiou, J. Alison Noble
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A Dual-Stream Framework for 3D Mask Face Presentation Attack Detection Shen Chen, Taiping Yao, Ke-Yue Zhang, Yang Chen, Ke Sun, Shouhong Ding, Jilin Li, Feiyue Huang, Rongrong Ji
A Framework for Semi-Automatic Collection of Temporal Satellite Imagery for Analysis of Dynamic Regions Nicholas Kashani Motlagh, Aswathnarayan Radhakrishnan, Jim Davis, Roman Ilin
A Hierarchical Assessment of Adversarial Severity Guillaume Jeanneret, Juan C. Pérez, Pablo Arbeláez
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A Hierarchical Classification System for the Detection of Covid-19 from Chest X-Ray Images Meghna P. Ayyar, Jenny Benois-Pineau, Akka Zemmari
A Hybrid and Fast Deep Learning Framework for Covid-19 Detection via 3D Chest CT Images Shuang Liang, Weicun Zhang, Yu Gu
A Manifold Learning Based Video Prediction Approach for Deep Motion Transfer Yuliang Cai, Sumit Mohan, Adithya Niranjan, Nilesh Jain, Alex Cloninger, Srinjoy Das
A Multi-Task Mean Teacher for Semi-Supervised Facial Affective Behavior Analysis Lingfeng Wang, Shisen Wang, Jin Qi, Kenji Suzuki
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A New Deep Learning Engine for CoralNet Qimin Chen, Oscar Beijbom, Stephen Chan, Jessica Bouwmeester, David J. Kriegman
A Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth * Sivaramakrishnan Sankarapandian, Saul Kohn, Vaughn Spurrier, Sean Grullon, Rajath E. Soans, Kameswari D. Ayyagari, Ramachandra Vikas Chamarthi, Kiran Motaparthi, Jason B. Lee, Wonwoo Shon, Michael J. Bonham, Julianna D. Ianni
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A QuadTree Image Representation for Computational Pathology Robert Jewsbury, Abhir Bhalerao, Nasir M. Rajpoot
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A Real-Time Anti-Distractor Infrared UAV Tracker with Channel Feature Refinement Module Houzhang Fang, Xiaolin Wang, Zikai Liao, Yi Chang, Luxin Yan
A Robust End-to-End Method for Parametric Curve Tracing via Soft Cosine-Similarity-Based Objective Function Boran Han, Jeremy Vila
A Semi-Self-Supervised Learning Approach for Wheat Head Detection Using Extremely Small Number of Labeled Samples Keyhan Najafian, Alireza Ghanbari, Ian Stavness, Lingling Jin, Gholam Hassan Shirdel, Farhad Maleki
A Single-Stage, Bottom-up Approach for Occluded VIS Using Spatio-Temporal Embeddings Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe
A System for Fusing Color and Near-Infrared Images in Radiance Domain Kim C. Ng, Jinglin Shen, Chiu Man Ho
A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation Yiming Zhao, Xiao Zhang, Xinming Huang
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A Transformer-Based Framework for Automatic COVID19 Diagnosis in Chest CTs Lei Zhang, Yan Wen
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A Unified Approach for Tracking UAVs in Infrared Jinjian Zhao, Xiaohan Zhang, Pengyu Zhang
A Unified Efficient Pyramid Transformer for Semantic Segmentation Fangrui Zhu, Yi Zhu, Li Zhang, Chongruo Wu, Yanwei Fu, Mu Li
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A Unified Framework for Non-Negative Matrix and Tensor Factorisations with a Smoothed Wasserstein Loss Stephen Y. Zhang
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ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition Siddharth Katageri, Shashidhar Veerappa Kudari, Akshaykumar Gunari, Ramesh Ashok Tabib, Uma Mudenagudi
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About the Ambiguity of Data Augmentation for 3D Object Detection in Autonomous Driving Matthias Reuse, Martin Simon, Bernhard Sick
Absolute and Relative Pose Estimation in Refractive Multi View Xiao Hu, François Lauze, Kim Steenstrup Pedersen, Jean Mélou
Adapting Deep Neural Networks for Pedestrian-Detection to Low-Light Conditions Without Re-Training Vedant Shah, Anmol Agarwal, Tanmay Tulsidas Verlekar, Raghavendra Singh
Adaptive Distribution Learning with Statistical Hypothesis Testing for COVID-19 CT Scan Classification Guan-Lin Chen, Chih-Chung Hsu, Mei-Hsuan Wu
Addressing Target Shift in Zero-Shot Learning Using Grouped Adversarial Learning Saneem A. Chemmengath, Soumava Paul, Samarth Bharadwaj, Suranjana Samanta, Karthik Sankaranarayanan
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Advanced 3D Deep Non-Local Embedded System for Self-Augmented X-Ray-Based COVID-19 Assessment Francesco Rundo, Angelo Genovese, Roberto Leotta, Fabio Scotti, Vincenzo Piuri, Sebastiano Battiato
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AdvFoolGen: Creating Persistent Troubles for Deep Classifiers Yuzhen Ding, Nupur Thakur, Baoxin Li
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Aerial Cross-Platform Path Planning Dataset Md. Shahid, Sumohana S. Channappayya
ALBRT: Cellular Composition Prediction in Routine Histology Images Muhammad Dawood, Kim Branson, Nasir M. Rajpoot, Fayyaz ul Amir Afsar Minhas
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All You Need Are a Few Pixels: Semantic Segmentation with PixelPick Gyungin Shin, Weidi Xie, Samuel Albanie
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An Algorithmic Approach to Quantifying GPS Trajectory Error Matthew Plaudis, Muhammad Azam, Derek Jacoby, Marc-Antoine Drouin, Yvonne Coady
An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Marcella Astrid, Seung-Ik Lee
An Audiovisual and Contextual Approach for Categorical and Continuous Emotion Recognition In-the-Wild Panagiotis Antoniadis, Ioannis Pikoulis, Panagiotis Paraskevas Filntisis, Petros Maragos
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An Efficient Network Design for Face Video Super-Resolution Feng Yu, He Li, Sige Bian, Yongming Tang
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An Embedded Deep Learning-Based Package for Traffic Law Enforcement Abbas Omidi, Amirhossein Heydarian, Aida Mohammadshahi, Behnam Asghari Beirami, Farzan Haddadi
An End-to-End Efficient Framework for Remote Physiological Signal Sensing Chengyang Hu, Ke-Yue Zhang, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Lizhuang Ma
An Investigation of Attention Mechanisms in Histopathology Whole-Slide-Image Analysis for Regression Objectives Philippe Weitz, Yinxi Wang, Johan Hartman, Mattias Rantalainen
Analysing Affective Behavior in the Second ABAW2 Competition Dimitrios Kollias, Stefanos Zafeiriou
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Analysis of Arabidopsis Root Images - Studies on CNNs and Skeleton-Based Root Topology Birgit Möller, Berit Schreck, Stefan Posch
Analyzing and Mitigating JPEG Compression Defects in Deep Learning Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava
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Anomaly Detection for in Situ Marine Plankton Images Yuchun Pu, Zhenghui Feng, Zhonglei Wang, Zhenyu Yang, Jianping Li
Appearance and Motion Based Persistent Multiple Object Tracking in Wide Area Motion Imagery Lars Sommer, Wolfgang Krüger, Michael Teutsch
Attention Aware Debiasing for Unbiased Model Prediction Puspita Majumdar, Richa Singh, Mayank Vatsa
Audi-Exchange: AI-Guided Hand-Based Actions to Assist Human-Human Interactions for the Blind and the Visually Impaired Daohan Lu, Yi Fang
Audio-Visual Transformer Based Crowd Counting Usman Sajid, Xiangyu Chen, Hasan Sajid, Taejoon Kim, Guanghui Wang
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Automatic Region-Based Heart Rate Measurement Using Remote Photoplethysmography Benjamin Kossack, Eric L. Wisotzky, Anna Hilsmann, Peter Eisert
Autonomous Vehicle Vision 2021: ICCV Workshop Summary Rui Fan, Nemanja Djuric, Fisher Yu, Rowan McAllister, Ioannis Pitas
Background/Foreground Separation: Guided Attention Based Adversarial Modeling (GAAM) Versus Robust Subspace Learning Methods Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, Soon Ki Jung
Balanced Masked and Standard Face Recognition Delong Qi, Kangli Hu, Weijun Tan, Qi Yao, Jingfeng Liu
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Beat-to-Beat Cardiac Pulse Rate Measurement from Video Brian L. Hill, Xin Liu, Daniel McDuff
BERTHop: An Effective Vision-and-Language Model for Chest X-Ray Disease Diagnosis Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang
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Blocks World Revisited: The Effect of Self-Occlusion on Classification by Convolutional Neural Networks Markus D. Solbach, John K. Tsotsos
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BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving Environments Divya Kothandaraman, Rohan Chandra, Dinesh Manocha
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Boosting Fairness for Masked Face Recognition Jun Yu, Xinlong Hao, Zeyu Cui, Peng He, Tongliang Liu
Boosting Instance Segmentation with Synthetic Data: A Study to Overcome the Limits of Real World Data Sets Florentin Poucin, Andrea Kraus, Martin Simon
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline Using Graph Convolutional Network Naina Dhingra, George Chogovadze, Andreas M. Kunz
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Bounding Box Dataset Augmentation for Long-Range Object Distance Estimation Marten Franke, Vaishnavi Gopinath, Chaitra Reddy, Danijela Ristic-Durrant, Kai Michels
Brain Midline Shift Detection and Quantification by a Cascaded Deep Network Pipeline on Non-Contrast Computed Tomography Scans Nguyen P. Nguyen, Youngjin Yoo, Andrei Chekkoury, Eva Eibenberger, Thomas J. Re, Jyotipriya Das, Abishek Balachandran, Yvonne W. Lui, Pina C. Sanelli, Thomas J. Schroeppel, Uttam Bodanapally, Savvas Nicolaou, Tommi A. White, Filiz Bunyak, Dorin Comaniciu, Eli Gibson
Bridging the Gap Between Debiasing and Privacy for Deep Learning Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
Bridging the Reality Gap for Pose Estimation Networks Using Sensor-Based Domain Randomization Frederik Hagelskjær, Anders Glent Buch
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Building 3D Morphable Models from a Single Scan Skylar Sutherland, Bernhard Egger, Josh Tenenbaum
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CAFT: Class Aware Frequency Transform for Reducing Domain Gap Vikash Kumar, Sarthak Srivastava, Rohit Lal, Anirban Chakraborty
Can Optical Trojans Assist Adversarial Perturbations? Adith Boloor, Tong Wu, Patrick Naughton, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen
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Causal Affect Prediction Model Using a past Facial Image Sequence Geesung Oh, Euiseok Jeong, Sejoon Lim
Causal BERT: Improving Object Detection by Searching for Challenging Groups Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler
CDAda: A Curriculum Domain Adaptation for Nighttime Semantic Segmentation Qi Xu, Yinan Ma, Jing Wu, Chengnian Long, Xiaolin Huang
CenterPoly: Real-Time Instance Segmentation Using Bounding Polygons Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Maguelonne Héritier
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Characterizing Scattered Occlusions for Effective Dense-Mode Crowd Counting Khalid J. Almalki, Baek-Young Choi, Yu Chen, Sejun Song
CIGLI: Conditional Image Generation from Language & Image Xiaopeng Lu, Lynnette Hui Xian Ng, Jared Fernandez, Hao Zhu
Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation Angira Sharma, Naeemullah Khan, Muhammad Mubashar, Ganesh Sundaramoorthi, Philip H. S. Torr
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Classification and Visualization of Genotype × Phenotype Interactions in Biomass Sorghum Abby Stylianou, Robert Pless, Nadia Shakoor, Todd C. Mockler
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Cloth Mechanical Parameter Estimation and Simulation for Optimized Robotic Manipulation Nikolaos E. Anatoliotakis, Panagiotis N. Koustoumpardis, Konstantinos Moustakas
CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis Junlin Hou, Jilan Xu, Rui Feng, Yuejie Zhang, Fei Shan, Weiya Shi
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Coarse-Grained Density mAP Guided Object Detection in Aerial Images Chengzhen Duan, Zhiwei Wei, Chi Zhang, Siying Qu, Hongpeng Wang
Compressed Classification from Learned Measurements Robiulhossain Mdrafi, Ali Cafer Gürbüz
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning Anjan Dutta, Massimiliano Mancini, Zeynep Akata
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CONet: Channel Optimization for Convolutional Neural Networks Mahdi S. Hosseini, Jia Shu Zhang, Zhe Liu, Andre Fu, Jingxuan Su, Mathieu Tuli, Konstantinos N. Plataniotis
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Contextual Convolutional Neural Networks Ionut Cosmin Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu
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Continuous Emotion Recognition with Audio-Visual Leader-Follower Attentive Fusion Su Zhang, Yi Ding, Ziquan Wei, Cuntai Guan
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Contrastive Feature Loss for Image Prediction Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
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ConvNets vs. Transformers: Whose Visual Representations Are More Transferable? Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu
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Convolutional Auto-Encoder with Tensor-Train Factorization Manish Sharma, Panos P. Markopoulos, Eli Saber, M. Salman Asif, Ashley Prater-Bennette
Convolutional Filter Approximation Using Fractional Calculus Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, Anthony D. Rhodes, Lama Nachman, Narayan Sundararajan
Convolutional Neural Networks Based Remote Sensing Scene Classification Under Clear and Cloudy Environments Huiming Sun, Yuewei Lin, Qin Zou, Shaoyue Song, Jianwu Fang, Hongkai Yu
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Countering Adversarial Examples: Combining Input Transformation and Noisy Training Cheng Zhang, Pan Gao
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COVID19 Diagnosis Using AutoML from 3D CT Scans Talha Anwar
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Cross-Modal Matching CNN for Autonomous Driving Sensor Data Monitoring Yiqiang Chen, Feng Liu, Ke Pei
Cross-Modal Relational Reasoning Network for Visual Question Answering Hongyu Chen, Ruifang Liu, Bo Peng
CryoPoseNet: End-to-End Simultaneous Learning of Single-Particle Orientation and 3D mAP Reconstruction from Cryo-Electron Microscopy Data Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chun Hong Yoon, Daniel Ratner
Data Augmentation for Scene Text Recognition Rowel Atienza
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DC-VINS: Dynamic Camera Visual Inertial Navigation System with Online Calibration Jason Rebello, Chunshang Li, Steven L. Waslander
DDUNet: Dense Dense U-Net with Applications in Image Denoising Fan Jia, Wing Hong Wong, Tieyong Zeng
Deep Embeddings-Based Place Recognition Robust to Motion Blur Piotr Wozniak, Bogdan Kwolek
Deep Frequency Re-Calibration U-Net for Medical Image Segmentation Reza Azad, Afshin Bozorgpour, Maryam Asadi-Aghbolaghi, Dorit Merhof, Sergio Escalera
Deep Manifold Prior Matheus Gadelha, Rui Wang, Subhransu Maji
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Deep Ordinal Focus Assessment for Whole Slide Images Tomé Albuquerque, Ana Moreira, Jaime S. Cardoso
Deep Quaternion Pose Proposals for 6d Object Pose Tracking Mateusz Majcher, Bogdan Kwolek
Deep Single Fisheye Image Camera Calibration for over 180-Degree Projection of Field of View Nobuhiko Wakai, Takayoshi Yamashita
DeepDraper: Fast and Accurate 3D Garment Draping over a 3D Human Body Lokender Tiwari, Brojeshwar Bhowmick
DeepFake MNIST+: A DeepFake Facial Animation Dataset Jiajun Huang, Xueyu Wang, Bo Du, Pei Du, Chang Xu
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DeLiEve-Net: Deblurring Low-Light Images with Light Streaks and Local Events Chu Zhou, Minggui Teng, Jin Han, Chao Xu, Boxin Shi
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller
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Description of Corner Cases in Automated Driving: Goals and Challenges Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
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Detecting and Segmenting Adversarial Graphics Patterns from Images Xiangyu Qu, Stanley H. Chan
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DISCO - U-Net Based Autoencoder Architecture with Dual Input Streams for Skeleton Image Drawing Soonyong Song, Heechul Bae, Junhee Park
Distance and Edge Transform for Skeleton Extraction Xiaojun Tang, Rui Zheng, Yinghao Wang
Distilling Reflection Dynamics for Single-Image Reflection Removal Quanlong Zheng, Xiaotian Qiao, Ying Cao, Shi Guo, Lei Zhang, Rynson W. H. Lau
DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking Rina Bao, Noor M. Al-Shakarji, Filiz Bunyak, Kannappan Palaniappan
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Domain-Based Semi-Supervised Learning: Exploiting Label Invariance in Unlabeled Data from Distributed Cameras Leonardo Taccari
Double Head Predictor Based Few-Shot Object Detection for Aerial Imagery Stefan Wolf, Jonas Meier, Lars Sommer, Jürgen Beyerer
Double-Weighted Low-Rank Matrix Recovery Based on Rank Estimation Zhengqin Xu, Huasong Xing, Shun Fang, Shiqian Wu, Shoulie Xie
DriPE: A Dataset for Human Pose Estimation in Real-World Driving Settings Romain Guesdon, Carlos Fernando Crispim Junior, Laure Tougne
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Dual Transformation and Manifold Distances Voting for Outlier Rejection in Point Cloud Registration Amit Efraim, Joseph M. Francos
DVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker
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Dyadformer: A Multi-Modal Transformer for Long-Range Modeling of Dyadic Interactions David Curto, Albert Clapés, Javier Selva, Sorina Smeureanu, Júlio C. S. Jacques Júnior, David Gallardo-Pujol, Georgina Guilera, David Leiva, Thomas B. Moeslund, Sergio Escalera, Cristina Palmero
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Dynamic Color Transform for Wheat Head Detection Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao
EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow Yuying Hao, Yi Liu, Zewu Wu, Lin Han, Yizhou Chen, Guowei Chen, Lutao Chu, Shiyu Tang, Zhiliang Yu, Zeyu Chen, Baohua Lai
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Effect of Parameter Optimization on Classical and Learning-Based Image Matching Methods Ufuk Efe, Kutalmis Gokalp Ince, A. Aydin Alatan
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Efficient Light Transport Acquisition by Coded Illumination and Robust Photometric Stereo by Dual Photography Using Deep Neural Network Takafumi Iwaguchi, Hiroshi Kawasaki
Efficient Search in a Panoramic Image Database for Long-Term Visual Localization Semih Orhan, Yalin Bastanlar
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Efficient Uncertainty Estimation in Semantic Segmentation via Distillation Christopher J. Holder, Muhammad Shafique
Efficient Wavelet Boost Learning-Based Multi-Stage Progressive Refinement Network for Underwater Image Enhancement Fushuo Huo, Bingheng Li, Xuegui Zhu
EfficientARL: Improving Skin Cancer Diagnoses by Combining Lightweight Attention on EfficientNet Miguel Nehmad Alche, Daniel G. Acevedo, Marta Mejail
Egocentric Biochemical Video-and-Language Dataset Taichi Nishimura, Kojiro Sakoda, Atsushi Hashimoto, Yoshitaka Ushiku, Natsuko Tanaka, Fumihito Ono, Hirotaka Kameko, Shinsuke Mori
Egocentric Indoor Localization from Room Layouts and Image Outer Corners Xiaowei Chen, Guoliang Fan
Emotion Recognition Based on Body and Context Fusion in the Wild Yibo Huang, Hongqian Wen, Linbo Qing, Rulong Jin, Leiming Xiao
Emotion Recognition with Sequential Multi-Task Learning Technique Phan Tran Dac Thinh, Hoang Manh Hung, Hyung-Jeong Yang, Soo-Hyung Kim, Guee-Sang Lee
Emotional Features of Interactions with Empathic Agents Claudia Greco, Carmela Buono, Pau Buch-Cardona, Gennaro Cordasco, Sergio Escalera, Anna Esposito, Anaïs Fernández, Daria Kyslitska, Maria Stylianou Korsnes, Cristina Palmero, Jofre Tenorio-Laranga, Anna Torp Johansen, María Inés Torres
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Single-Source Domain Generalization Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI Gregory Holste, Savannah C. Partridge, Habib Rahbar, Debosmita Biswas, Christoph I. Lee, Adam M. Alessio
End-to-End Model-Based Gait Recognition Using Synchronized Multi-View Pose Constraint Xiang Li, Yasushi Makihara, Chi Xu, Yasushi Yagi
Enforcing Temporal Consistency in Video Depth Estimation Siyuan Li, Yue Luo, Ye Zhu, Xun Zhao, Yu Li, Ying Shan
Enhancing Adversarial Robustness via Test-Time Transformation Ensembling Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez
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Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection Zhenghao Fei, Alex Olenskyj, Brian N. Bailey, Mason Earles
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Estimating Heart Rate from Unlabelled Video John Gideon, Simon Stent
Evaluating the Performance of Ensemble Methods and Voting Strategies for Dense 2D Pedestrian Detection in the Wild Aboli Marathe, Rahee Walambe, Ketan Kotecha
Evaluating Volumetric and Slice-Based Approaches for COVID-19 Detection in Chest CTs Radu Miron, Cosmin Moisii, Sergiu Dinu, Mihaela Elena Breaban
Evaluation of Latent Space Learning with Procedurally-Generated Datasets of Shapes Sharjeel Ali, Oliver van Kaick
Evasion Attack STeganography: Turning Vulnerability of Machine Learning to Adversarial Attacks into a Real-World Application Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
Explainable Face Recognition Based on Accurate Facial Compositions Haoran Jiang, Dan Zeng
Exploiting Egocentric Vision on Shopping Cart for Out-of-Stock Detection in Retail Environments Dario Allegra, Mattia Litrico, Maria Ausilia Napoli Spatafora, Filippo Stanco, Giovanni Maria Farinella
Exploring the Power of Lightweight YOLOv4 Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yung-Yu Chuang, Youn-Long Lin
Face, Body, Voice: Video Person-Clustering with Multiple Modalities Andrew Brown, Vicky Kalogeiton, Andrew Zisserman
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Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition * HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell
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Fast Unsupervised MRI Reconstruction Without Fully-Sampled Ground Truth Data Using Generative Adversarial Networks Elizabeth K. Cole, Frank Ong, Shreyas S. Vasanawala, John M. Pauly
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin
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FedAffect: Few-Shot Federated Learning for Facial Expression Recognition Debaditya Shome, Tejaswini Kar
Few-Shot Batch Incremental Road Object Detection via Detector Fusion Anuj Tambwekar, Kshitij Agrawal, Anay Majee, Anbumani Subramanian
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Few-Shot Learning with Online Self-Distillation Sihan Liu, Yue Wang
Field-Based Plot Extraction Using UAV RGB Images Changye Yang, Sriram Baireddy, Enyu Cai, Melba M. Crawford, Edward J. Delp
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Fine-Grain Prediction of Strawberry Freshness Using Subsurface Scattering Jeremy Klotz, Vijay Rengarajan, Aswin C. Sankaranarayanan
Finite Aperture Stereo: 3D Reconstruction of Macro-Scale Scenes Matthew Bailey, Adrian Hilton, Jean-Yves Guillemaut
Formula-Driven Supervised Learning with Recursive Tiling Patterns Hirokatsu Kataoka, Asato Matsumoto, Ryosuke Yamada, Yutaka Satoh, Eisuke Yamagata, Nakamasa Inoue
FOX-NAS: Fast, On-Device and Explainable Neural Architecture Search Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Hung-Yueh Chiang, Kai-Chiang Wu
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FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration Yu Rong, Takaaki Shiratori, Hanbyul Joo
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From RGB to NIR: Predicting of near Infrared Reflectance from Visible Spectrum Aerial Images of Crops Masoomeh Aslahishahri, Kevin G. Stanley, Hema Sudhakar Duddu, Steve Shirtliffe, Sally Vail, Kirstin E. Bett, Curtis Pozniak, Ian Stavness
From VIS to OVIS: A Technical Report to Promote the Development of the Field Wenbo Li, Xuesheng Li, Qiwei Xu, Chen Li
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection Using RGB Camera and LiDAR Anshul Paigwar, David Sierra González, Özgür Erkent, Christian Laugier
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FSER: Deep Convolutional Neural Networks for Speech Emotion Recognition Bonaventure F. P. Dossou, Yeno K. S. Gbenou
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Generalized Real-World Super-Resolution Through Adversarial Robustness Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez
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Generalizing Few-Shot Classification of Whole-Genome Doubling Across Cancer Types Sherry Chao, David Belanger
Generative Models for Multi-Illumination Color Constancy Partha Das, Yang Liu, Sezer Karaoglu, Theo Gevers
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Get Better 1 Pixel PCK: Ladder Scales Correspondence Flow Networks for Remote Sensing Image Matching in Higher Resolution Weitao Chen, Zhibin Wang, Hao Li
GIAOTracker: A Comprehensive Framework for MCMOT with Global Information and Optimizing Strategies in VisDrone 2021 Yunhao Du, Junfeng Wan, Yanyun Zhao, Binyu Zhang, Zhihang Tong, Junhao Dong
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Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos Jhony H. Giraldo, Sajid Javed, Naoufel Werghi, Thierry Bouwmans
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Graph Convolutional Networks for 3D Object Detection on Radar Data Michael Meyer, Georg Kuschk, Sven Tomforde
Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image Segmentation Zhou Zheng, Masahiro Oda, Kensaku Mori
Graph-Based Neural Architecture Search with Operation Embeddings Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis
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Graph2Pix: A Graph-Based Image to Image Translation Framework Dilara Gokay, Enis Simsar, Efehan Atici, Alper Ahmetoglu, Atif Emre Yüksel, Pinar Yanardag
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Grassmannian Dimensionality Reduction for Optimized Universal Manifold Embedding Representation of 3D Point Clouds Yuval Haitman, Joseph M. Francos, Louis L. Scharf
Guided Representation Learning for the Classification of Hematopoietic Cells Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
H&E-Adversarial Network: A Convolutional Neural Network to Learn Stain-Invariant Features Through Hematoxylin & Eosin Regression Niccolò Marini, Manfredo Atzori, Sebastian Otálora, Stéphane Marchand-Maillet, Henning Müller
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Hard-Negatives or Non-Negatives? a Hard-Negative Selection Strategy for Cross-Modal Retrieval Using the Improved Marginal Ranking Loss Damianos Galanopoulos, Vasileios Mezaris
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HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor Huayao Liu, Ruiping Liu, Kailun Yang, Jiaming Zhang, Kunyu Peng, Rainer Stiefelhagen
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High Perceptual Quality Image Denoising with a Posterior Sampling CGAN Guy Ohayon, Theo Adrai, Gregory Vaksman, Michael Elad, Peyman Milanfar
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How to Cheat with Metrics in Single-Image HDR Reconstruction Gabriel Eilertsen, Saghi Hajisharif, Param Hanji, Apostolia Tsirikoglou, Rafal K. Mantiuk, Jonas Unger
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How to Transform Kernels for Scale-Convolutions Ivan Sosnovik, Artem Moskalev, Arnold W. M. Smeulders
HyperMixNet: Hyperspectral Image Reconstruction with Deep Mixed Network from a Snapshot Measurement Yorimoto Kohei, Xian-Hua Han
Hyperspectral 3D Mapping of Underwater Environments Maxime Ferrera, Aurélien Arnaubec, Klemen Istenic, Nuno Gracias, Touria Bajjouk
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Identification and Measurement of Individual Roots in Minirhizotron Images of Dense Root Systems Alexander Gillert, Bo Peters, Uwe Freiherr von Lukas, Jürgen Kreyling
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Impact of Colour on Robustness of Deep Neural Networks Kanjar De, Marius Pedersen
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Improving Key Human Features for Pose Transfer Victor-Andrei Ivan, Ionut Mistreanu, Andrei Leica, Sung-Jun Yoon, Manri Cheon, Junwoo Lee, Jinsoo Oh
Improving Rare-Class Recognition of Marine Plankton with Hard Negative Mining Joseph L. Walker, Eric C. Orenstein
Improving Representation Consistency with Pairwise Loss for Masked Face Recognition Hanjie Qian, Panpan Zhang, Sijie Ji, Shuxin Cao, Yuecong Xu
Improving Self-Supervised Learning with Hardness-Aware Dynamic Curriculum Learning: An Application to Digital Pathology Chetan L. Srinidhi, Anne L. Martel
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Improving Tuberculosis (TB) Prediction Using Synthetically Generated Computed Tomography (CT) Images Ashia Lewis, Evanjelin Mahmoodi, Yuyue Zhou, Megan Coffee, Elena Sizikova
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In Defense of the Learning Without Forgetting for Task Incremental Learning Guy Oren, Lior Wolf
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In-Situ Joint Light and Medium Estimation for Underwater Color Restoration David Nakath, Mengkun She, Yifan Song, Kevin Köser
InAugment: Improving Classifiers via Internal Augmentation Moab Arar, Ariel Shamir, Amit Bermano
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Infrared Dataset Generation for People Detection Through Superimposition of Different Camera Sensors Alessandro Avi, Matteo Zuccatti, Matteo Nardello, Nicola Conci, Davide Brunelli
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Instance Search via Fusing Hierarchical Multi-Level Retrieval and Human-Object Interaction Detection Wenhao Yang, Yinan Song, Zhicheng Zhao, Fei Su
Instance Segmentation in CARLA: Methodology and Analysis for Pedestrian-Oriented Synthetic Data Generation in Crowded Scenes Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel
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InstancePose: Fast 6DoF Pose Estimation for Multiple Objects from a Single RGB Image Lee Aing, Wen-Nung Lie, Jui-Chiu Chiang, Guo-Shiang Lin
Intelligent Radiomic Analysis of Q-SPECT/CT Images to Optimize Pulmonary Embolism Diagnosis in COVID-19 Patients Debora Gil, Sonia Baeza, Carles Sánchez, Guillermo Torres, Ignasi García-Olivé, Gloria Moragas, Jordi Deportós, Maite Salcedo, Antoni Rosell
Interactive Labeling for Human Pose Estimation in Surveillance Videos Mickael Cormier, Fabian Röpke, Thomas Golda, Jürgen Beyerer
Investigating Transformers in the Decomposition of Polygonal Shapes as Point Collections Andrea Alfieri, Yancong Lin, Jan C. van Gemert
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Is First Person Vision Challenging for Object Tracking? Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, Christian Micheloni
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It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection Meytal Rapoport-Lavie, Dan Raviv
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Iterative Cross-Scanner Registration for Whole Slide Images Luisa Theelke, Frauke Wilm, Christian Marzahl, Christof A. Bertram, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger
Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognition Didan Deng, Liang Wu, Bertram E. Shi
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JanusNet: Detection of Moving Objects from UAV Platforms Yuxiang Zhao, Khurram Shafique, Zeeshan Rasheed, Maoxu Li
Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography Mingyang Xie, Jiaming Liu, Yu Sun, Weijie Gan, Brendt Wohlberg, Ulugbek S. Kamilov
Joint Semi-Supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling Zhengfeng Lai, Chao Wang, Luca Cerny Oliveira, Brittany N. Dugger, Sen-Ching Samson Cheung, Chen-Nee Chuah
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K-Space Refinement in Deep Learning MR Reconstruction via Regularizing Scan Specific SPIRiT-Based Self Consistency Kanghyun Ryu, Cagan Alkan, Chanyeol Choi, Ikbeom Jang, Shreyas Vasanawala
Knowledge Distillation for Low-Power Object Detection: A Simple Technique and Its Extensions for Training Compact Models Using Unlabeled Data Amin Banitalebi-Dehkordi
Language-Guided Multi-Modal Fusion for Video Action Recognition Jenhao Hsiao, Yikang Li, Chiuman Ho
Latent Variable Models for Visual Question Answering Zixu Wang, Yishu Miao, Lucia Specia
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LCOMS Lab's Approach to the Vision for Vitals (V4V) Challenge Yassine Ouzar, Djamaleddine Djeldjli, Frédéric Bousefsaf, Choubeila Maaoui
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Leaf Area Estimation by Semantic Segmentation of Point Cloud of Tomato Plants Takeshi Masuda
LeafMask: Towards Greater Accuracy on Leaf Segmentation Ruohao Guo, Liao Qu, Dantong Niu, Zhenbo Li, Jun Yue
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Learning Decoupled Representations for Human Pose Forecasting Behnam Parsaeifard, Saeed Saadatnejad, Yuejiang Liu, Taylor Mordan, Alexandre Alahi
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Learning Laplacians in Chebyshev Graph Convolutional Networks Hichem Sahbi
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Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking Fei Xie, Wankou Yang, Kaihua Zhang, Bo Liu, Guangting Wang, Wangmeng Zuo
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Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks Thanh T. Tran, Hieu H. Pham, Thang V. Nguyen, Tung T. Le, Hieu T. Nguyen, Ha Q. Nguyen
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Learning to Localise and Count with Incomplete Dot-Annotations Feng Chen, Michael P. Pound, Andrew P. French
Learning Tracking Representations via Dual-Branch Fully Transformer Networks Fei Xie, Chunyu Wang, Guangting Wang, Wankou Yang, Wenjun Zeng
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Learning Where to Cut from Edited Videos Yuzhong Huang, Xue Bai, Oliver Wang, Fabian Caba, Aseem Agarwala
Learning-Based Shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point Clouds Deniz Kavzak Ufuktepe, Jaired Collins, Ekincan Ufuktepe, Joshua Fraser, Timothy Krock, Kannappan Palaniappan
Leveraging Batch Normalization for Vision Transformers Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu
Leveraging Temporal Information for 3D Trajectory Estimation of Space Objects Mohamed Adel Musallam, Miguel Ortiz del Castillo, Kassem Al Ismaeil, Marcos Damian Perez, Djamila Aouada
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Limited Sampling Reference Frame for MaskTrack R-CNN Zhuang Li, Leilei Cao, Hongbin Wang
LiteEdge: Lightweight Semantic Edge Detection Network Hao Wang, Hasan Mohamed, Zuowen Wang, Bodo Rueckauer, Shih-Chii Liu
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Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification Simon Graham, Mostafa Jahanifar, Ayesha Azam, Mohammed Nimir, Yee-Wah Tsang, Katherine Dodd, Emily Hero, Harvir Sahota, Atisha Tank, Ksenija Benes, Noorul Wahab, Fayyaz A. Minhas, Shan-E-Ahmed Raza, Hesham Eldaly, Kishore Gopalakrishnan, David R. J. Snead, Nasir M. Rajpoot
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LLVIP: A Visible-Infrared Paired Dataset for Low-Light Vision Xinyu Jia, Chuang Zhu, Minzhen Li, Wenqi Tang, Wenli Zhou
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Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling Xiaopeng Lu, Zhen Fan, Yansen Wang, Jean Oh, Carolyn P. Rosé
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Localizing Human Keypoints Beyond the Bounding Box Soonchan Park, Jinah Park
LSD-C: Linearly Separable Deep Clusters Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman
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LUAI Challenge 2021 on Learning to Understand Aerial Images Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu
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MAAD: A Model and Dataset for "Attended Awareness" in Driving Deepak E. Gopinath, Guy Rosman, Simon Stent, Katsuya Terahata, Luke Fletcher, Brenna Argall, John J. Leonard
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Machine Learning Meets Distinctness in Variety Testing Geoffroy Couasnet, Mouad Zine El Abidine, François Laurens, Helin Dutagaci, David Rousseau
MANet: A Motion-Driven Attention Network for Detecting the Pulse from a Facial Video with Drastic Motions Xuenan Liu, Xuezhi Yang, Ziyan Meng, Ye Wang, Jie Zhang, Alexander Wong
Manipulating Image Style Transformation via Latent-Space SVM Qiudan Wang
Markerless Visual Tracking of a Container Crane Spreader Manolis I. A. Lourakis, Maria Pateraki
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Mask Aware Network for Masked Face Recognition in the Wild Kai Wang, Shuo Wang, Jianfei Yang, Xiaobo Wang, Baigui Sun, Hao Li, Yang You
Masked Face Recognition Challenge: The InsightFace Track Report Jiankang Deng, Jia Guo, Xiang An, Zheng Zhu, Stefanos Zafeiriou
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Masked Face Recognition Datasets and Validation Baojin Huang, Zhongyuan Wang, Guangcheng Wang, Kui Jiang, Zheng He, Hua Zou, Qin Zou
MaskOut: A Data Augmentation Method for Masked Face Recognition Weiqiu Wang, Zhicheng Zhao, Hongyuan Zhang, Zhaohui Wang, Fei Su
MEAL: Manifold Embedding-Based Active Learning Deepthi Sreenivasaiah, Johannes S. Otterbach, Thomas Wollmann
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Medical Image Classification Using Generalized Zero Shot Learning Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge
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MedSkip: Medical Report Generation Using Skip Connections and Integrated Attention Esha Pahwa, Dwij Mehta, Sanjeet Kapadia, Devansh Jain, Achleshwar Luthra
Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark Shuhao Qiu, Chuang Zhu, Wenli Zhou
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MGGAN: Solving Mode Collapse Using Manifold-Guided Training Duhyeon Bang, Hyunjung Shim
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MIA-COV19D: COVID-19 Detection Through 3-D Chest CT Image Analysis Dimitrios Kollias, Anastasios Arsenos, Levon Soukissian, Stefanos D. Kollias
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MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni
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MonoCInIS: Camera Independent Monocular 3D Object Detection Using Instance Segmentation Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino
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Monocular 3D Localization of Vehicles in Road Scenes Haotian Zhang, Haorui Ji, Aotian Zheng, Jenq-Neng Hwang, Ren-Hung Hwang
Moving Object Detection for Event-Based Vision Using Graph Spectral Clustering Anindya Mondal, Shashant R, Jhony H. Giraldo, Thierry Bouwmans, Ananda S. Chowdhury
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MRGAN: Multi-Rooted 3D Shape Representation Learning with Unsupervised Part Disentanglement Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or
MTMSN: Multi-Task and Multi-Modal Sequence Network for Facial Action Unit and Expression Recognition Yue Jin, Tianqing Zheng, Chao Gao, Guoqiang Xu
Multi-Dimensional Scaling on Groups Mark Blumstein, Henry Kvinge
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Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions Vishal Vinod, K. Ram Prabhakar, R. Venkatesh Babu, Anirban Chakraborty
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications Sai Vidyaranya Nuthalapati, Anirudh Tunga
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Multi-Input Fusion for Practical Pedestrian Intention Prediction Ankur Singh, Upendra Suddamalla
Multi-Level Adaptive Separable Convolution for Large-Motion Video Frame Interpolation Ruth Wijma, Shaodi You, Yu Li
Multi-Modal RGB-D Scene Recognition Across Domains Andrea Ferreri, Silvia Bucci, Tatiana Tommasi
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Multi-Modal Variational Faster R-CNN for Improved Visual Object Detection in Manufacturing Panagiotis Mouzenidis, Antonios Louros, Dimitrios Konstantinidis, Kosmas Dimitropoulos, Petros Daras, Theofilos Mastos
Multi-Perspective Features Learning for Face Anti-Spoofing Zhuming Wang, Yaowen Xu, Lifang Wu, Hu Han, Yukun Ma, Guozhang Ma
Multi-Prototype Few-Shot Learning in Histopathology Jessica Deuschel, Daniel Firmbach, Carol I. Geppert, Markus Eckstein, Arndt Hartmann, Volker Bruns, Petr Kuritcyn, Jakob Dexl, David Hartmann, Dominik Perrin, Thomas Wittenberg, Michaela Benz
Multi-Scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding Learning Mahbaneh Eshaghzadeh Torbati, Dana L. Tudorascu, Davneet S. Minhas, Pauline Maillard, Charles DeCarli, Seong Jae Hwang
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Multi-Stage Fusion for Multi-Class 3D LiDAR Detection Zejie Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Jian Tang, Chaomin Shen, Yaxin Peng
Multi-Weather City: Adverse Weather Stacking for Autonomous Driving Valentina Musat, Ivan Fursa, Paul Newman, Fabio Cuzzolin, Andrew Bradley
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Multimodal Continuous Visual Attention Mechanisms António Farinhas, André F. T. Martins, Pedro M. Q. Aguiar
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Multiple GAN Inversion for Exemplar-Based Image-to-Image Translation Taewon Kang
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Multiple Instance Triplet Loss for Weakly Supervised Multi-Label Action Localisation of Interacting Persons Sovan Biswas, Juergen Gall
Multitask Multi-Database Emotion Recognition Manh-Tu Vu, Marie Beurton-Aimar, Serge Marchand
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MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning Using an Anchor Free Approach Falk Heuer, Sven Mantowsky, Syed Saqib Bukhari, Georg Schneider
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Noisy Annotations Robust Consensual Collaborative Affect Expression Recognition Darshan Gera, S. Balasubramanian
Nuisance-Label Supervision: Robustness Improvement by Free Labels Xinyue Wei, Weichao Qiu, Yi Zhang, Zihao Xiao, Alan L. Yuille
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Object Detection in Cluttered Environments with Sparse Keypoint Selection Viktor Seib, Dietrich Paulus
Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets
Occluded Video Instance Segmentation with Set Prediction Approach Heechul Bae, Soonyong Song, Junhee Park
Occupancy Grid Mapping with Cognitive Plausibility for Autonomous Driving Applications Alice Plebe, Julian F. P. Kooij, Gastone Pietro Rosati Papini, Mauro Da Lio
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On Adversarial Robustness: A Neural Architecture Search Perspective Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N. Balasubramanian
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On Improving Temporal Consistency for Online Face Liveness Detection System Xiang Xu, Yuanjun Xiong, Wei Xia
On the Effect of Pruning on Adversarial Robustness Artur Jordão, Hélio Pedrini
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On the Importance of Encrypting Deep Features Xingyang Ni, Heikki Huttunen, Esa Rahtu
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On the Road to Large-Scale 3D Monocular Scene Reconstruction Using Deep Implicit Functions Thomas Roddick, Benjamin Biggs, Daniel Olmeda Reino, Roberto Cipolla
Online Continual Learning for Visual Food Classification Jiangpeng He, Fengqing Zhu
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Optical Adversarial Attack Abhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan
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Optical Braille Recognition Using Object Detection Neural Network Ilya G. Ovodov
ORB-SLAM with Near-Infrared Images and Optical Flow Data Antonio Buemi, Arcangelo Bruna, Sylvain Petinot, Nicolas Roux
PanopTOP: A Framework for Generating Viewpoint-Invariant Human Pose Estimation Datasets Nicola Garau, Giulia Martinelli, Piotr Bródka, Niccolò Bisagno, Nicola Conci
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Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks Kevin Potter, Steven Sleder, Matthew Smith, Shehan Perera, Alper Yilmaz, John Tencer
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Partial FC: Training 10 Million Identities on a Single Machine Xiang An, Xuhan Zhu, Yuan Gao, Yang Xiao, Yongle Zhao, Ziyong Feng, Lan Wu, Bin Qin, Ming Zhang, Debing Zhang, Ying Fu
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Patch Attack Invariance: How Sensitive Are Patch Attacks to 3D Pose? Max Lennon, Nathan Drenkow, Philippe Burlina
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PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification Shivanand Venkanna Sheshappanavar, Vinit Veerendraveer Singh, Chandra Kambhamettu
Pedestrian Occlusion Level Classification Using Keypoint Detection and 2D Body Surface Area Estimation Shane Gilroy, Martin Glavin, Edward Jones, Darragh Mullins
Pedestrian Tracking Through Coordinated Mining of Multiple Moving Cameras Yanting Zhang, Qingxiang Wang
Perf4sight: A Toolflow to Model CNN Training Performance on Edge GPUs Aditya Rajagopal, Christos-Savvas Bouganis
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Photon-Limited Object Detection Using Non-Local Feature Matching and Knowledge Distillation Chengxi Li, Xiangyu Qu, Abhiram Gnanasambandam, Omar A. Elgendy, Jiaju Ma, Stanley H. Chan
Plots to Previews: Towards Automatic Movie Preview Retrieval Using Publicly Available Meta-Data Bhagyashree Gaikwad, Ankita Sontakke, Manasi Patwardhan, Niranjan Pedanekar, Shirish Karande
Point Cloud Object Segmentation Using Multi Elevation-Layer 2D Bounding-Boxes Tristan Brodeur, Hadi Aliakbarpour, Steve Suddarth
Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers Ángel Martínez-González, Michael Villamizar, Jean-Marc Odobez
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Post-Training Deep Neural Network Pruning via Layer-Wise Calibration Ivan Lazarevich, Alexander Kozlov, Nikita Malinin
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PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Network Biluo Shen, Anqi Xiao, Jie Tian, Zhenhua Hu
Precise Forecasting of Sky Images Using Spatial Warping Leron K. Julian, Aswin C. Sankaranarayanan
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Predicting Protein Content in Grain Using Hyperspectral Deep Learning Ole-Christian Galbo Engstrøm, Erik Schou Dreier, Kim Steenstrup Pedersen
Predictive Coding with Topographic Variational Autoencoders T. Anderson Keller, Max Welling
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Prior Aided Streaming Network for Multi-Task Affective Analysis Wei Zhang, Zunhu Guo, Keyu Chen, Lincheng Li, Zhimeng Zhang, Yu Ding, Runze Wu, Tangjie Lv, Changjie Fan
ProAI: An Efficient Embedded AI Hardware for Automotive Applications - A Benchmark Study Sven Mantowsky, Falk Heuer, Syed Saqib Bukhari, Michael Keckeisen, Georg Schneider
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Probeable DARTS with Application to Computational Pathology Sheyang Tang, Mahdi S. Hosseini, Lina Chen, Sonal Varma, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis, Zhou Wang
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Progressive Unsupervised Deep Transfer Learning for Forest Mapping in Satellite Image Nouman Ahmed, Sudipan Saha, Muhammad Shahzad, Muhammad Moazam Fraz, Xiao Xiang Zhu
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Public Life in Public Space (PLPS): A Multi-Task, Multi-Group Video Dataset for Public Life Research Linbo Qing, Lindong Li, Shengyu Xu, Yibo Huang, Mei Liu, Rulong Jin, Bo Liu, Tong Niu, Hongqian Wen, Yuchen Wang, Xue Jiang, Yonghong Peng
RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes Jiongchao Jin, Arezou Fatemi, Wallace M. P. Lira, Fenggen Yu, Biao Leng, Rui Ma, Ali Mahdavi-Amiri, Hao (Richard) Zhang
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Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang, Liangbin Xie, Chao Dong, Ying Shan
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Real-Time Cell Counting in Unlabeled Microscopy Images Yuang Zhu, Zhao Chen, Yuxin Zheng, Qinghua Zhang, Xuan Wang
Rectifying the Data Bias in Knowledge Distillation Boxiao Liu, Shenghan Zhang, Guanglu Song, Haihang You, Yu Liu
Reducing Label Effort: Self-Supervised Meets Active Learning Javad Zolfaghari Bengar, Joost van de Weijer, Bartlomiej Twardowski, Bogdan Raducanu
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Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation mAP Jianfeng He, Bei Xiao, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu
Relational Prior for Multi-Object Tracking Artem Moskalev, Ivan Sosnovik, Arnold W. M. Smeulders
Relaxations for Non-Separable Cardinality/Rank Penalties Carl Olsson, Daniele Gerosa, Marcus Carlsson
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Residual Dilated U-Net for the Segmentation of COVID-19 Infection from CT Images Alyaa Amer, Xujiong Ye, Faraz Janan
Resolution Based Feature Distillation for Cross Resolution Person Re-Identification Asad Munir, Chengjin Lyu, Bart Goossens, Wilfried Philips, Christian Micheloni
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ResSaNet: A Hybrid Backbone of Residual Block and Self-Attention Module for Masked Face Recognition Wei-Yi Chang, Ming-Ying Tsai, Shih-Chieh Lo
Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets Matthew Gwilliam, Srinidhi Hegde, Lade Tinubu, Alex Hanson
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Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement Xuanchi Ren, Tao Yang, Yuwang Wang, Wenjun Zeng
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Revisting Quantization Error in Face Alignment Xing Lan, Qinghao Hu, Jian Cheng
Robust Face Frontalization for Visual Speech Recognition* Zhiqi Kang, Radu Horaud, Mostafa Sadeghi
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Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir M. Rajpoot
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Robust Multi-Object Tracking Using Re-Identification Features and Graph Convolutional Networks Christian Lusardi, Abu Md Niamul Taufique, Andreas E. Savakis
Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference Borui Jiang, Yadong Mu
SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
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Saliency-Guided Transformer Network Combined with Local Embedding for No-Reference Image Quality Assessment Mengmeng Zhu, Guanqun Hou, Xinjia Chen, Jiaxing Xie, Haixian Lu, Jun Che
SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation Xiaofeng Ding, Chaomin Shen, Zhengping Che, Tieyong Zeng, Yaxin Peng
SCARLET-NAS: Bridging the Gap Between Stability and Scalability in Weight-Sharing Neural Architecture Search Xiangxiang Chu, Bo Zhang, Qingyuan Li, Ruijun Xu, Xudong Li
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SCAT: Stride Consistency with Auto-Regressive Regressor and Transformer for Hand Pose Estimation Daiheng Gao, Bang Zhang, Qi Wang, Xindi Zhang, Pan Pan, Yinghui Xu
ScatSimCLR: Self-Supervised Contrastive Learning with Pretext Task Regularization for Small-Scale Datasets Vitaliy Kinakh, Olga Taran, Svyatoslav Voloshynovskiy
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Scene Designer: A Unified Model for Scene Search and Synthesis from Sketch Leo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti
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SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring Wenbin Zou, Mingchao Jiang, Yunchen Zhang, Liang Chen, Zhiyong Lu, Yi Wu
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Seeing the Unseen: Predicting the First-Person Camera Wearer's Location and Pose in Third-Person Scenes Yangming Wen, Krishna Kumar Singh, Markham Anderson, Wei-Pang Jan, Yong Jae Lee
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot K. Fishman, Alan L. Yuille
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Self-Attention Agreement Among Capsules Rita Pucci, Christian Micheloni, Niki Martinel
Self-Improving Classification Performance Through GAN Distillation Matteo Pennisi, Simone Palazzo, Concetto Spampinato
Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images Xiaochen Zheng, Benjamin Kellenberger, Rui Gong, Irena Hajnsek, Devis Tuia
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Self-Supervised Representation Learning Using Visual Field Expansion on Digital Pathology Joseph Boyd, Mykola Liashuha, Eric Deutsch, Nikos Paragios, Stergios Christodoulidis, Maria Vakalopoulou
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Self-Supervised Visual Attribute Learning for Fashion Compatibility Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer
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Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLA Sujan Sai Gannamaneni, Sebastian Houben, Maram Akila
Semantic Segmentation with Multi Scale Spatial Attention for Self Driving Cars Abhinav Sagar, Rajkumar Soundrapandiyan
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Semantics-Aware Multi-Modal Domain Translation: From LiDAR Point Clouds to Panoramic Color Images Tiago Cortinhal, Fatih Kurnaz, Eren Erdal Aksoy
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Semi-Automatic Annotation for Visual Object Tracking Kutalmis Gokalp Ince, Aybora Koksal, Arda Fazla, A. Aydin Alatan
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Semi-Autoregressive Transformer for Image Captioning Yuanen Zhou, Yong Zhang, Zhenzhen Hu, Meng Wang
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Semi-Supervised Dry Herbage Mass Estimation Using Automatic Data and Synthetic Images Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness
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Sheaves as a Framework for Understanding and Interpreting Model Fit Henry Kvinge, Brett A. Jefferson, Cliff A. Joslyn, Emilie Purvine
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SiamSTA: Spatio-Temporal Attention Based Siamese Tracker for Tracking UAVs Bo Huang, Junjie Chen, Tingfa Xu, Ying Wang, Shenwang Jiang, Yuncheng Wang, Lei Wang, Jianan Li
SignPose: Sign Language Animation Through 3D Pose Lifting Shyam Krishna, Vijay Vignesh P, Dinesh Babu J.
Simple and Efficient Unpaired Real-World Super-Resolution Using Image Statistics Kwangjin Yoon
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Simple Baseline for Single Human Motion Forecasting Chenxi Wang, Yunfeng Wang, Zixuan Huang, Zhiwen Chen
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Simple Baselines Can Fool 360° Saliency Metrics Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research Brendan Alvey, Derek T. Anderson, Andrew R. Buck, Matthew Deardorff, Grant J. Scott, James M. Keller
Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia Adam J. Shephard, Simon Graham, Raja Muhammad Saad Bashir, Mostafa Jahanifar, Hanya Mahmood, Syed Ali Khurram, Nasir M. Rajpoot
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Single Patch Based 3D High-Fidelity Mask Face Anti-Spoofing Samuel Huang, Wen-Huang Cheng, Robert Cheng
Single-DARTS: Towards Stable Architecture Search Pengfei Hou, Ying Jin, Yukang Chen
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Single-Stage Face Detection Under Extremely Low-Light Conditions Jun Yu, Xinlong Hao, Peng He
Skeleton Graph Scattering Networks for 3D Skeleton-Based Human Motion Prediction Maosen Li, Siheng Chen, Zihui Liu, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang
SkeletonNetV2: A Dense Channel Attention Blocks for Skeleton Extraction Sabari Nathan, Priya Kansal
SketchBird: Learning to Generate Bird Sketches from Text Shaozu Yuan, Aijun Dai, Zhiling Yan, Zehua Guo, Ruixue Liu, Meng Chen
SketchyDepth: From Scene Sketches to RGB-D Images Gianluca Berardi, Samuele Salti, Luigi Di Stefano
SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos Nada Osman, Guglielmo Camporese, Pasquale Coscia, Lamberto Ballan
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SMILE: Semantically-Guided Multi-Attribute Image and Layout Editing Andrés Romero, Luc Van Gool, Radu Timofte
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SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types Behzad Bozorgtabar, Guillaume Vray, Dwarikanath Mahapatra, Jean-Philippe Thiran
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SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments Jiafei Duan, Samson Yu Bai Jian, Cheston Tan
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Sparse Feature Representation Learning for Deep Face Gender Transfer Xudong Liu, Ruizhe Wang, Hao Peng, Minglei Yin, Chih-Fan Chen, Xin Li
Sparse to Dense Motion Transfer for Face Image Animation Ruiqi Zhao, Tianyi Wu, Guodong Guo
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Speak2Label: Using Domain Knowledge for Creating a Large Scale Driver Gaze Zone Estimation Dataset Shreya Ghosh, Abhinav Dhall, Garima Sharma, Sarthak Gupta, Nicu Sebe
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SS-JIRCS: Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI Without Ground Truth Weijie Gan, Yuyang Hu, Cihat Eldeniz, Jiaming Liu, Yasheng Chen, Hongyu An, Ulugbek S. Kamilov
SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous Environments Divya Kothandaraman, Rohan Chandra, Dinesh Manocha
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SSR: Semi-Supervised Soft Rasterizer for Single-View 2D to 3D Reconstruction Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai
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STIRNet: A Spatial-Temporal Interaction-Aware Recursive Network for Human Trajectory Prediction Yusheng Peng, Gaofeng Zhang, Xiangyu Li, Liping Zheng
Stochastic Image Denoising by Sampling from the Posterior Distribution Bahjat Kawar, Gregory Vaksman, Michael Elad
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Student Engagement Dataset Kevin Delgado, Juan Manuel Origgi, Tania Hasanpoor, Hao Yu, Danielle Allessio, Ivon Arroyo, William Lee, Margrit Betke, Beverly P. Woolf, Sarah Adel Bargal
Student-Teacher Oneness: A Storage-Efficient Approach That Improves Facial Expression Recognition Zhenzhu Zheng, Christopher Rasmussen, Xi Peng
Studying the Effects of Self-Attention for Medical Image Analysis Adrit Rao, Jongchan Park, Sanghyun Woo, Joon-Young Lee, Oliver O. Aalami
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Style Transfer Based Coronary Artery Segmentation in X-Ray Angiogram Supriti Mulay, Keerthi Ram, Balamurali Murugesan, Mohanasankar Sivaprakasam
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Super-Resolution for in Situ Plankton Images Wenqi Ma, Tao Chen, Zhengwen Zhang, Zhenyu Yang, Chao Dong, Jianping Qiao, Jianping Li
Supporting Reference Imagery for Digital Drawing Josh Holinaty, Alec Jacobson, Fanny Chevalier
SVEA: A Small-Scale Benchmark for Validating the Usability of Post-Hoc Explainable AI Solutions in Image and Signal Recognition Sam Sattarzadeh, Mahesh Sudhakar, Konstantinos N. Plataniotis
SwinIR: Image Restoration Using Swin Transformer Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte
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Synthetic Data Generation Using Imitation Training Aman Kishore, Tae Eun Choe, Junghyun Kwon, Minwoo Park, Pengfei Hao, Akshita Mittel
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee
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Tackling the Background Bias in Sparse Object Detection via Cropped Windows Leon Amadeus Varga, Andreas Zell
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TeliNet: Classifying CT Scan Images for COVID-19 Diagnosis Mohammad Nayeem Teli
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Temporal Cues from Socially Unacceptable Trajectories for Anomaly Detection Neelu Madan, Arya Farkhondeh, Kamal Nasrollahi, Sergio Escalera, Thomas B. Moeslund
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Temporal Kernel Consistency for Blind Video Super-Resolution Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen
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Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images Mohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar, Jean-Philippe Thiran
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The 2nd Challenge on Remote Physiological Signal Sensing (RePSS) Xiaobai Li, Haomiao Sun, Zhaodong Sun, Hu Han, Antitza Dantcheva, Shiguang Shan, Guoying Zhao
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The Aircraft Context Dataset: Understanding and Optimizing Data Variability in Aerial Domains Daniel Steininger, Verena Widhalm, Julia Simon, Andreas Kriegler, Christoph Sulzbacher
The First Vision for Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation Ambareesh Revanur, Zhihua Li, Umur A. Ciftci, Lijun Yin, László A. Jeni
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The Flag Manifold as a Tool for Analyzing and Comparing Sets of Data Sets Xiaofeng Ma, Michael Kirby, Chris Peterson
The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation Deepak Singh, Matias Valdenegro-Toro
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The Multi-Modal Video Reasoning and Analyzing Competition Haoran Peng, He Huang, Li Xu, Tianjiao Li, Jun Liu, Hossein Rahmani, Qiuhong Ke, Zhicheng Guo, Cong Wu, Rongchang Li, Mang Ye, Jiahao Wang, Jiaxu Zhang, Yuanzhong Liu, Tao He, Fuwei Zhang, Xianbin Liu, Tao Lin
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The Ninth Visual Object Tracking VOT2021 Challenge Results Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu
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The Value of Visual Attention for COVID-19 Classification in CT Scans Adrit Rao, Jongchan Park, Oliver O. Aalami
The VAROS Synthetic Underwater Data Set: Towards Realistic Multi-Sensor Underwater Data with Ground Truth Peder Georg Olofsson Zwilgmeyer, Mauhing Yip, Andreas Langeland Teigen, Rudolf Mester, Annette Stahl
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The Watchlist Imbalance Effect in Biometric Face Identification: Comparing Theoretical Estimates and Empiric Measurements Pawel Drozdowski, Christian Rathgeb, Christoph Busch
Thermal Image Processing via Physics-Inspired Deep Networks Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard G. Baraniuk
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Tiled Squeeze-and-Excite: Channel Attention with Local Spatial Context Niv Vosco, Alon Shenkler, Mark Grobman
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Time Lab's Approach to the Challenge on Computer Vision for Remote Physiological Measurement Yuhang Dong, Gongping Yang, Yilong Yin
Tip-Burn Stress Detection of Lettuce Canopy Grown in Plant Factories Riccardo Gozzovelli, Benjamin Franchetti, Malik Bekmurat, Fiora Pirri
ToFNest: Efficient Normal Estimation for Time-of-Flight Depth Cameras Szilárd Molnár, Benjamin Kelényi, Levente Tamás
Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions Luke Guerdan, Alex Raymond, Hatice Gunes
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Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation Yuan Wu, Diana Inkpen, Ahmed El-Roby
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Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji
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Towards Mask-Robust Face Recognition Tao Feng, Liangpeng Xu, Hangjie Yuan, Yongfei Zhao, Mingqian Tang, Mang Wang
Towards Realistic Symmetry-Based Completion of Previously Unseen Point Clouds Taras Rumezhak, Oles Dobosevych, Rostyslav Hryniv, Vladyslav Selotkin, Volodymyr Karpiv, Mykola Maksymenko
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Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection Using Dynamic Face Augmentation Sowmen Das, Selim S. Seferbekov, Arup Datta, Md. Saiful Islam, Md. Ruhul Amin
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TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-Captured Scenarios Xingkui Zhu, Shuchang Lyu, Xu Wang, Qi Zhao
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Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World Jiaming Zhang, Kailun Yang, Angela Constantinescu, Kunyu Peng, Karin Müller, Rainer Stiefelhagen
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TransBlast: Self-Supervised Learning Using Augmented Subspace with Transformer for Background/Foreground Separation Islam I. Osman, Mohamed H. Abdelpakey, Mohamed S. Shehata
Transformer Meets Part Model: Adaptive Part Division for Person Re-Identification Shenqi Lai, Zhenhua Chai, Xiaolin Wei
Trojan Signatures in DNN Weights Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi
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TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks Humam Alwassel, Silvio Giancola, Bernard Ghanem
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Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
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Two-Parameter Persistence for Images via Distance Transform Chuan-Shen Hu, Austin Lawson, Yu-Min Chung, Kaitlin Keegan
U-Net Based Skeletonization and Bag of Tricks Nam Hoang Nguyen
UAC: An Uncertainty-Aware Face Clustering Algorithm Biplob Debnath, Giuseppe Coviello, Yi Yang, Srimat Chakradhar
Uncertainty-Aware GAN with Adaptive Loss for Robust MRI Image Enhancement Uddeshya Upadhyay, Viswanath P. Sudarshan, Suyash P. Awate
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Underwater Image Color Correction Using Ensemble Colorization Network Arpit Pipara, Urvi Oza, Srimanta Mandal
Underwater Marker-Based Pose-Estimation with Associated Uncertainty Petter Risholm, Peter Ørnulf Ivarsen, Karl-Henrik Haugholt, Ahmed Mohammed
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships Through the Lens of Adversarial Attacks NareshKumar Gurulingan, Elahe Arani, Bahram Zonooz
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Unmanned Aerial Vehicle Visual Detection and Tracking Using Deep Neural Networks: A Performance Benchmark Brian K. S. Isaac-Medina, Matt Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon, Hubert P. H. Shum
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Unravelling the Effect of Image Distortions for Biased Prediction of Pre-Trained Face Recognition Models Puspita Majumdar, Surbhi Mittal, Richa Singh, Mayank Vatsa
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Unsupervised 3D Shape Coverage Estimation with Applications to Colonoscopy Yochai Blau, Daniel Freedman, Valentin Dashinsky, Roman Goldenberg, Ehud Rivlin
Unsupervised Generative Adversarial Networks with Cross-Model Weight Transfer Mechanism for Image-to-Image Translation Xuguang Lai, Xiuxiu Bai, Yongqiang Hao
Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds Haolan Chen, Shitong Luo, Xiang Gao, Wei Hu
Using Synthetic Data Generation to Probe Multi-View Stereo Networks Pranav Acharya, Daniel Lohn, Vivian Ross, Maya Ha, Alexander Rich, Ehsan Sayyad, Tobias Höllerer
Video Contrastive Learning with Global Context Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li
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Video Transformer Network Daniel Neimark, Omri Bar, Maya Zohar, Dotan Asselmann
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Virtual Touch: Computer Vision Augmented Touch-Free Scene Exploration for the Blind or Visually Impaired Xixuan Julie Liu, Yi Fang
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao
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VisDrone-DET2021: The Vision Meets Drone Object Detection Challenge Results Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang
VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo
VistrongerDet: Stronger Visual Information for Object Detection in VisDrone Images Junfeng Wan, Binyu Zhang, Yanyun Zhao, Yunhao Du, Zhihang Tong
Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware Julia Hornauer, Lazaros Nalpantidis, Vasileios Belagiannis
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Visual Interpretability Analysis of Deep CNNs Using an Adaptive Threshold Method on Diabetic Retinopathy Images George Ioannou, Tasos Papagiannis, Thanos Tagaris, Georgios Alexandridis, Andreas Stafylopatis
Visual Question Answering with Textual Representations for Images Yusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Ittetsu Taniguchi, Takao Onoye
Visual Reasoning Using Graph Convolutional Networks for Predicting Pedestrian Crossing Intention Tina Chen, Renran Tian, Zhengming Ding
Visualizing Feature Maps for Model Selection in Convolutional Neural Networks Sakib Mostafa, Debajyoti Mondal, Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry, Ian Stavness
ViT-YOLO: Transformer-Based YOLO for Object Detection Zixiao Zhang, Xiaoqiang Lu, Guojin Cao, Yuting Yang, Licheng Jiao, Fang Liu
VLG-Net: Video-Language Graph Matching Network for Video Grounding Mattia Soldan, Mengmeng Xu, Sally Sisi Qu, Jesper Tegnér, Bernard Ghanem
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VTGAN: Semi-Supervised Retinal Image Synthesis and Disease Prediction Using Vision Transformers Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Salah A. Baker
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Weakly Supervised Approach for Joint Object and Lane Marking Detection Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim
Weakly Supervised rPPG Estimation for Respiratory Rate Estimation Jingda Du, Si-Qi Liu, Bochao Zhang, Pong C. Yuen
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty Robby Neven, Davy Neven, Bert De Brabandere, Marc Proesmans, Toon Goedemé
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Weakly-Supervised Semantic Segmentation in Cityscape via Hyperspectral Image Yuxing Huang, Qiu Shen, Ying Fu, Shaodi You
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What Does TERRA-REF's High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community? David S. LeBauer, Maxwell Burnette, Noah Fahlgren, Rob Kooper, Kenton McHenry, Abby Stylianou
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What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model Uncertainty Canberk Ekmekci, Müjdat Çetin
What Matters for Ad-Hoc Video Search? a Large-Scale Evaluation on TRECVID Aozhu Chen, Fan Hu, Zihan Wang, Fangming Zhou, Xirong Li
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What You Say Is Not What You Do: Studying Visio-Linguistic Models for TV Series Summarization Alison Reboud, Raphaël Troncy
WheatNet-Lite: A Novel Light Weight Network for Wheat Head Detection Sandesh Bhagat, Manesh Kokare, Vineet Haswani, Praful Hambarde, Ravi Kamble
Where Did I See It? Object Instance Re-Identification with Attention Vaibhav Bansal, Gian Luca Foresti, Niki Martinel
XAI Handbook: Towards a Unified Framework for Explainable AI Sebastian Palacio, Adriano Lucieri, Mohsin Munir, Sheraz Ahmed, Jörn Hees, Andreas Dengel
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YOLinO: Generic Single Shot Polyline Detection in Real Time Annika Meyer, Philipp Skudlik, Jan-Hendrik Pauls, Christoph Stiller
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Zero-Shot Learning via Contrastive Learning on Dual Knowledge Graphs Jin Wang, Bo Jiang