WACV 2022

406 papers

3D Modeling Beneath Ground: Plant Root Detection and Reconstruction Based on Ground-Penetrating Radar Yawen Lu, Guoyu Lu
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3DFaceFill: An Analysis-by-Synthesis Approach to Face Completion Rahul Dey, Vishnu Naresh Boddeti
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3DRefTransformer: Fine-Grained Object Identification in Real-World Scenes Using Natural Language Ahmed Abdelreheem, Ujjwal Upadhyay, Ivan Skorokhodov, Rawan Al Yahya, Jun Chen, Mohamed Elhoseiny
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A Context-Enriched Satellite Imagery Dataset and an Approach for Parking Lot Detection Yifang Yin, Wenmiao Hu, An Tran, Hannes Kruppa, Roger Zimmermann, See-Kiong Ng
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A Deep Insight into Measuring Face Image Utility with General and Face-Specific Image Quality Metrics Biying Fu, Cong Chen, Olaf Henniger, Naser Damer
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A Fast Partial Video Copy Detection Using KNN and Global Feature Database Weijun Tan, Hongwei Guo, Rushuai Liu
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A Modular and Unified Framework for Detecting and Localizing Video Anomalies Keval Doshi, Yasin Yilmaz
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A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation Yuan-Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang
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A Riemannian Framework for Analysis of Human Body Surface Emery Pierson, Mohamed Daoudi, Alice-Barbara Tumpach
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A Semi-Supervised Generalized VAE Framework for Abnormality Detection Using One-Class Classification Renuka Sharma, Satvik Mashkaria, Suyash P. Awate
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A Structure-Aware Method for Direct Pose Estimation Hunter Blanton, Scott Workman, Nathan Jacobs
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Action Anticipation Using Latent Goal Learning Debaditya Roy, Basura Fernando
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Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images Shasvat Desai, Debasmita Ghose
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ADC: Adversarial Attacks Against Object Detection That Evade Context Consistency Checks Mingjun Yin, Shasha Li, Chengyu Song, M. Salman Asif, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy
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Addressing Out-of-Distribution Label Noise in Webly-Labelled Data Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
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Adversarial Branch Architecture Search for Unsupervised Domain Adaptation Luca Robbiano, Muhammad Rameez Ur Rahman, Fabio Galasso, Barbara Caputo, Fabio Maria Carlucci
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Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach
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Adversarial Robustness of Deep Sensor Fusion Models Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik
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Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation Gabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh
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AE-StyleGAN: Improved Training of Style-Based Auto-Encoders Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris Metaxas
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AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation Xiangyi Yan, Hao Tang, Shanlin Sun, Haoyu Ma, Deying Kong, Xiaohui Xie
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Agree to Disagree: When Deep Learning Models with Identical Architectures Produce Distinct Explanations Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed
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AirCamRTM: Enhancing Vehicle Detection for Efficient Aerial Camera-Based Road Traffic Monitoring Rafael Makrigiorgis, Nicolas Hadjittoouli, Christos Kyrkou, Theocharis Theocharides
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All the Attention You Need: Global-Local, Spatial-Channel Attention for Image Retrieval Chull Hwan Song, Hye Joo Han, Yannis Avrithis
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An Experimental Comparison of Multi-View Stereo Approaches on Satellite Images Alvaro Gómez, Gregory Randall, Gabriele Facciolo, Rafael Grompone von Gioi
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An Investigation of Critical Issues in Bias Mitigation Techniques Robik Shrestha, Kushal Kafle, Christopher Kanan
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Approximate Neural Architecture Search via Operation Distribution Learning Xingchen Wan, Binxin Ru, Pedro M. Esparança, Fabio Maria Carlucci
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Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis Nathan Drenkow, Neil Fendley, Philippe Burlina
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Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition Veeru Talreja, Nasser M. Nasrabadi, Matthew C. Valenti
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AttWalk: Attentive Cross-Walks for Deep Mesh Analysis Ran Ben Izhak, Alon Lahav, Ayellet Tal
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Auditing Saliency Cropping Algorithms Abeba Birhane, Vinay Uday Prabhu, John Whaley
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Auto White-Balance Correction for Mixed-Illuminant Scenes Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown
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Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang
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Automated Defect Inspection in Reverse Engineering of Integrated Circuits Ann-Christin Bette, Patrick Brus, Gabor Balazs, Matthias Ludwig, Alois Knoll
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AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation Yizhe Zhang, Shubhankar Borse, Hong Cai, Fatih Porikli
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Batch Normalization Tells You Which Filter Is Important Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, Kyoung Mu Lee
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Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides of the Same Coin? Megh Shukla
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Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma
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BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection Yonghyun Jeong, Doyeon Kim, Seungjai Min, Seongho Joe, Youngjune Gwon, Jongwon Choi
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Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations Josh Beal, Hao-Yu Wu, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk
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Biomass Prediction with 3D Point Clouds from LiDAR Liyuan Pan, Liu Liu, Anthony G. Condon, Gonzalo M. Estavillo, Robert A. Coe, Geoff Bull, Eric A. Stone, Lars Petersson, Vivien Rolland
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Boosting Contrastive Self-Supervised Learning with False Negative Cancellation Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi
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Busy-Quiet Video Disentangling for Video Classification Guoxi Huang, Adrian G. Bors
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C-VTON: Context-Driven Image-Based Virtual Try-on Network Benjamin Fele, Ajda Lampe, Peter Peer, Vitomir Struc
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Calibrating CNNs for Few-Shot Meta Learning Peng Yang, Shaogang Ren, Yang Zhao, Ping Li
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CeyMo: See More on Roads - A Novel Benchmark Dataset for Road Marking Detection Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama, Shenali Kariyawasam, Ranga Rodrigo, Peshala Jayasekara
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CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows Denis Gudovskiy, Shun Ishizaka, Kazuki Kozuka
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Challenges in Procedural Multimodal Machine Comprehension: A Novel Way to Benchmark Pritish Sahu, Karan Sikka, Ajay Divakaran
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Channel Pruning via Lookahead Search Guided Reinforcement Learning Zi Wang, Chengcheng Li
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CharacterGAN: Few-Shot Keypoint Character Animation and Reposing Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter
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Class-Balanced Active Learning for Image Classification Javad Zolfaghari Bengar, Joost van de Weijer, Laura Lopez Fuentes, Bogdan Raducanu
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Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation Waqar Ahmed, Pietro Morerio, Vittorio Murino
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Co-Net: A Collaborative Region-Contour-Driven Network for Fine-to-Finer Medical Image Segmentation Anran Liu, Xiangsheng Huang, Tong Li, Pengcheng Ma
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Co-Segmentation Aided Two-Stream Architecture for Video Captioning Jayesh Vaidya, Arulkumar Subramaniam, Anurag Mittal
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COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains Puneet Mangla, Shivam Chandhok, Vineeth N Balasubramanian, Fahad Shahbaz Khan
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Compensation Tracker: Reprocessing Lost Object for Multi-Object Tracking Zhibo Zou, Junjie Huang, Ping Luo
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Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion from a Single-View Image Yeong-Joon Ju, Gun-Hee Lee, Jung-Ho Hong, Seong-Whan Lee
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Compressed Sensing MRI Reconstruction with Co-VeGAN: Complex-Valued Generative Adversarial Network Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan
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Consistent Cell Tracking in Multi-Frames with Spatio-Temporal Context by Object-Level Warping Loss Junya Hayashida, Kazuya Nishimura, Ryoma Bise
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Contextual Gradient Scaling for Few-Shot Learning Sanghyuk Lee, Seunghyun Lee, Byung Cheol Song
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Contextual Proposal Network for Action Localization He-Yen Hsieh, Ding-Jie Chen, Tyng-Luh Liu
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Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany
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Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset - Addressing the Noise-Latent Trade-Off Vaibhav Vavilala, David Forsyth
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CoordiNet: Uncertainty-Aware Pose Regressor for Reliable Vehicle Localization Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle
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Coupled Training for Multi-Source Domain Adaptation Ohad Amosy, Gal Chechik
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Creating and Reenacting Controllable 3D Humans with Differentiable Rendering Thiago L. Gomes, Thiago M. Coutinho, Rafael Azevedo, Renato Martins, Erickson R. Nascimento
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Cross-Modal Adversarial Reprogramming Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley
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CrossLocate: Cross-Modal Large-Scale Visual Geo-Localization in Natural Environments Using Rendered Modalities Jan Tomešek, Martin Čadík, Jan Brejcha
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D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos Christian Schmidt, Ali Athar, Sabarinath Mahadevan, Bastian Leibe
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DAD: Data-Free Adversarial Defense at Test Time Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty
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Danish Fungi 2020 - Not Just Another Image Recognition Dataset Lukáš Picek, Milan Šulc, Jiří Matas, Thomas S. Jeppesen, Jacob Heilmann-Clausen, Thomas Læssøe, Tobias Frøslev
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DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks Cheeun Hong, Heewon Kim, Sungyong Baik, Junghun Oh, Kyoung Mu Lee
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Data Augmented 3D Semantic Scene Completion with 2D Segmentation Priors Aloisio Dourado, Frederico Guth, Teofilo de Campos
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Data InStance Prior (DISP) in Generative Adversarial Networks Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
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Dataset Knowledge Transfer for Class-Incremental Learning Without Memory Habib Slim, Eden Belouadah, Adrian Popescu, Darian Onchis
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Deep Feature Prior Guided Face Deblurring Soo Hyun Jung, Tae Bok Lee, Yong Seok Heo
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Deep Online Fused Video Stabilization Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang
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Deep Optimization Prior for THz Model Parameter Estimation Tak Ming Wong, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolívar, Michael Möller, Andreas Kolb
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Deep Photo Scan: Semi-Supervised Learning for Dealing with the Real-World Degradation in Smartphone Photo Scanning Man M. Ho, Jinjia Zhou
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Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation Ziwen Li, Bo Xu, Han Huang, Cheng Lu, Yandong Guo
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DeepPatent: Large Scale Patent Drawing Recognition and Retrieval Michal Kucer, Diane Oyen, Juan Castorena, Jian Wu
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Densely-Packed Object Detection via Hard Negative-Aware Anchor Attention Sungmin Cho, Jinwook Paeng, Junseok Kwon
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Detail Preserving Residual Feature Pyramid Modules for Optical Flow Libo Long, Jochen Lang
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Detecting Tear Gas Canisters with Limited Training Data Ashwin D'Cruz, Christopher Tegho, Sean Greaves, Lachlan Kermode
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Detection and Localization of Facial Expression Manipulations Ghazal Mazaheri, Amit K. Roy-Chowdhury
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DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception Yiming Cui, Zhiwen Cao, Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Victor Chen, Lin Li, Dongfang Liu
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Digital and Physical-World Attacks on Remote Pulse Detection Jeremy Speth, Nathan Vance, Patrick Flynn, Kevin W. Bowyer, Adam Czajka
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Discovering Underground Maps from Fashion Utkarsh Mall, Kavita Bala, Tamara Berg, Kristen Grauman
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Discrete Neural Representations for Explainable Anomaly Detection Stanislaw Szymanowicz, James Charles, Roberto Cipolla
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Disentangled Representation with Dual-Stage Feature Learning for Face Anti-Spoofing Yu-Chun Wang, Chien-Yi Wang, Shang-Hong Lai
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Distance-Based Hyperspherical Classification for Multi-Source Open-Set Domain Adaptation Silvia Bucci, Francesco Cappio Borlino, Barbara Caputo, Tatiana Tommasi
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Does Data Repair Lead to Fair Models? Curating Contextually Fair Data to Reduce Model Bias Sharat Agarwal, Sumanyu Muku, Saket Anand, Chetan Arora
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Domain Generalization Through Audio-Visual Relative Norm Alignment in First Person Action Recognition Mirco Planamente, Chiara Plizzari, Emanuele Alberti, Barbara Caputo
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Dual-Head Contrastive Domain Adaptation for Video Action Recognition Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, Vittorio Murino, Elisa Ricci
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Dynamic CNNs Using Uncertainty to Overcome Domain Generalization for Surgical Instrument Localization Markus Philipp, Anna Alperovich, Marielena Gutt-Will, Andrea Mathis, Stefan Saur, Andreas Raabe, Franziska Mathis-Ullrich
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Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak
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Edge-SR: Super-Resolution for the Masses Pablo Navarrete Michelini, Yunhua Lu, Xingqun Jiang
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EdgeConv with Attention Module for Monocular Depth Estimation Minhyeok Lee, Sangwon Hwang, Chaewon Park, Sangyoun Lee
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Efficient Counterfactual Debiasing for Visual Question Answering Camila Kolling, Martin More, Nathan Gavenski, Eduardo Pooch, Otávio Parraga, Rodrigo C. Barros
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EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation Yecheng Lyu, Xinming Huang, Ziming Zhang
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Enhanced Correlation Matching Based Video Frame Interpolation Sungho Lee, Narae Choi, Woong Il Choi
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Enhancing Few-Shot Image Classification with Unlabelled Examples Peyman Bateni, Jarred Barber, Jan-Willem van de Meent, Frank Wood
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Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee
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Estimating Image Depth in the Comics Domain Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk
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Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals Saloni Dash, Vineeth N Balasubramanian, Amit Sharma
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Evaluating the Robustness of Semantic Segmentation for Autonomous Driving Against Real-World Adversarial Patch Attacks Federico Nesti, Giulio Rossolini, Saasha Nair, Alessandro Biondi, Giorgio Buttazzo
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Evaluation of Correctness in Unsupervised Many-to-Many Image Translation Dina Bashkirova, Ben Usman, Kate Saenko
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Event-Based Kilohertz Eye Tracking Using Coded Differential Lighting Timo Stoffregen, Hossein Daraei, Clare Robinson, Alexander Fix
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Extracting Vignetting and Grain Filter Effects from Photos Abdelrahman Abdelhamed, Jonghwa Yim, Abhijith Punnappurath, Michael S. Brown, Jihwan Choe, Kihwan Kim
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Extraction of Positional Player Data from Broadcast Soccer Videos Jonas Theiner, Wolfgang Gritz, Eric Müller-Budack, Robert Rein, Daniel Memmert, Ralph Ewerth
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Extractive Knowledge Distillation Takumi Kobayashi
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EZCrop: Energy-Zoned Channels for Robust Output Pruning Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong
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F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
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Face Verification with Challenging Imposters and Diversified Demographics Adrian Popescu, Liviu-Daniel Ștefan, Jérôme Deshayes-Chossart, Bogdan Ionescu
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Facial Attribute Transformers for Precise and Robust Makeup Transfer Zhaoyi Wan, Haoran Chen, Jie An, Wentao Jiang, Cong Yao, Jiebo Luo
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Fair and Accurate Age Prediction Using Distribution Aware Data Curation and Augmentation Yushi Cao, David Berend, Palina Tolmach, Guy Amit, Moshe Levy, Yang Liu, Asaf Shabtai, Yuval Elovici
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Fair Visual Recognition in Limited Data Regime Using Self-Supervision and Self-Distillation Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
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FalCon: Fine-Grained Feature mAP Sparsity Computing with Decomposed Convolutions for Inference Optimization Zirui Xu, Fuxun Yu, Chenxi Liu, Zhe Wu, Hongcheng Wang, Xiang Chen
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FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation Yuan Cheng, Rui Lin, Peining Zhen, Tianshu Hou, Chiu Wa Ng, Hai-Bao Chen, Hao Yu, Ngai Wong
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Fast and Efficient Restoration of Extremely Dark Light Fields Mohit Lamba, Kaushik Mitra
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Fast and Explicit Neural View Synthesis Pengsheng Guo, Miguel Angel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan
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Fast Nonlinear Image Unblending Daichi Horita, Kiyoharu Aizawa, Ryohei Suzuki, Taizan Yonetsuji, Huachun Zhu
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Fast-CLOCs: Fast Camera-LiDAR Object Candidates Fusion for 3D Object Detection Su Pang, Daniel Morris, Hayder Radha
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FastAno: Fast Anomaly Detection via Spatio-Temporal Patch Transformation Chaewon Park, MyeongAh Cho, Minhyeok Lee, Sangyoun Lee
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Federated Multi-Target Domain Adaptation Chun-Han Yao, Boqing Gong, Hang Qi, Yin Cui, Yukun Zhu, Ming-Hsuan Yang
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Few-Shot Object Detection by Attending to Per-Sample-Prototype Hojun Lee, Myunggi Lee, Nojun Kwak
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Few-Shot Open-Set Recognition of Hyperspectral Images with Outlier Calibration Network Debabrata Pal, Valay Bundele, Renuka Sharma, Biplab Banerjee, Yogananda Jeppu
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Few-Shot Weakly-Supervised Object Detection via Directional Statistics Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard Hartley
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FLUID: Few-Shot Self-Supervised Image Deraining Shyam Nandan Rai, Rohit Saluja, Chetan Arora, Vineeth N Balasubramanian, Anbumani Subramanian, C.V. Jawahar
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ForeSI: Success-Aware Visual Navigation Agent Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Qinfeng Shi, Anton Van Den Hengel
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Forgery Detection by Internal Positional Learning of Demosaicing Traces Quentin Bammey, Rafael Grompone von Gioi, Jean-Michel Morel
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From Node to Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot Detection Hui Nie, Ruiping Wang, Xilin Chen
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FT-DeepNets: Fault-Tolerant Convolutional Neural Networks with Kernel-Based Duplication Iljoo Baek, Wei Chen, Zhihao Zhu, Soheil Samii, Raj Rajkumar
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Fully Convolutional Cross-Scale-Flows for Image-Based Defect Detection Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt
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Fusion Point Pruning for Optimized 2D Object Detection with Radar-Camera Fusion Lukas Stäcker, Philipp Heidenreich, Jason Rambach, Didier Stricker
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GANs Spatial Control via Inference-Time Adaptive Normalization Karin Jakoel, Liron Efraim, Tamar Rott Shaham
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Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li
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Generalized Facial Manipulation Detection with Edge Region Feature Extraction Dong-Keon Kim, Kwang-Su Kim
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Generating and Controlling Diversity in Image Search Md. Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, Garrison W. Cottrell
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Generative Adversarial Attack on Ensemble Clustering Chetan Kumar, Deepak Kumar, Ming Shao
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Generative Adversarial Graph Convolutional Networks for Human Action Synthesis Bruno Degardin, João Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença
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Geometrically Adaptive Dictionary Attack on Face Recognition Junyoung Byun, Hyojun Go, Changick Kim
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Geometry-Aware Hierarchical Bayesian Learning on Manifolds Yonghui Fan, Yalin Wang
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Geometry-Inspired Top-K Adversarial Perturbations Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets
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Global Assists Local: Effective Aerial Representations for Field of View Constrained Image Geo-Localization Royston Rodrigues, Masahiro Tani
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GraDual: Graph-Based Dual-Modal Representation for Image-Text Matching Siqu Long, Soyeon Caren Han, Xiaojun Wan, Josiah Poon
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GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan D. Jepson, Alex Levinshtein
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HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation Hankui Peng, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb
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Hessian-Aware Pruning and Optimal Neural Implant Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Sehoon Kim, Michael W. Mahoney, Kurt Keutzer
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HHP-Net: A Light Heteroscedastic Neural Network for Head Pose Estimation with Uncertainty Giorgio Cantarini, Federico Figari Tomenotti, Nicoletta Noceti, Francesca Odone
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Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videos Reza Ghoddoosian, Saif Sayed, Vassilis Athitsos
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Hierarchical Proxy-Based Loss for Deep Metric Learning Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras
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Hierarchically Decoupled Spatial-Temporal Contrast for Self-Supervised Video Representation Learning Zehua Zhang, David Crandall
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HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised Learning Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand
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High Dynamic Range Imaging of Dynamic Scenes with Saturation Compensation but Without Explicit Motion Compensation Haesoo Chung, Nam Ik Cho
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Hole-Robust Wireframe Detection Naejin Kong, Kiwoong Park, Harshith Goka
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How and What to Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition Amor Ben Tanfous, Aimen Zerroug, Drew Linsley, Thomas Serre
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How Good Is Your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks Thomas Fel, David Vigouroux, Rémi Cadène, Thomas Serre
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Human-Aided Saliency Maps Improve Generalization of Deep Learning Aidan Boyd, Kevin W. Bowyer, Adam Czajka
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HybVIO: Pushing the Limits of Real-Time Visual-Inertial Odometry Otto Seiskari, Pekka Rantalankila, Juho Kannala, Jerry Ylilammi, Esa Rahtu, Arno Solin
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Hyper-Convolution Networks for Biomedical Image Segmentation Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu
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Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task Ke Li, Dengxin Dai, Luc Van Gool
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Identifying Wrongly Predicted Samples: A Method for Active Learning Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino
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Image Restoration by Deep Projected GSURE Shady Abu-Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes
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Image-Adaptive Hint Generation via Vision Transformer for Outpainting Daehyeon Kong, Kyeongbo Kong, Kyunghun Kim, Sung-Jun Min, Suk-Ju Kang
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Improve Image Captioning by Estimating the Gazing Patterns from the Caption Rehab Alahmadi, James Hahn
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Improving Fractal Pre-Training Connor Anderson, Ryan Farrell
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Improving Model Generalization by Agreement of Learned Representations from Data Augmentation Rowel Atienza
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Improving Object Detection by Label Assignment Distillation Chuong H. Nguyen, Thuy C. Nguyen, Tuan N. Tang, Nam L.H. Phan
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Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning Abdullah Abuolaim, Mahmoud Afifi, Michael S. Brown
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ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection Danila Rukhovich, Anna Vorontsova, Anton Konushin
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In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation Jan Weyler, Federico Magistri, Peter Seitz, Jens Behley, Cyrill Stachniss
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Inferring the Class Conditional Response mAP for Weakly Supervised Semantic Segmentation Weixuan Sun, Jing Zhang, Nick Barnes
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InfographicVQA Minesh Mathew, Viraj Bagal, Rubèn Tito, Dimosthenis Karatzas, Ernest Valveny, C.V. Jawahar
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Information Bottlenecked Variational Autoencoder for Disentangled 3D Facial Expression Modelling Hao Sun, Nick Pears, Yajie Gu
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Inpaint2Learn: A Self-Supervised Framework for Affordance Learning Lingzhi Zhang, Weiyu Du, Shenghao Zhou, Jiancong Wang, Jianbo Shi
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Intelligent Camera Selection Decisions for Target Tracking in a Camera Network Anil Sharma, Saket Anand, Sanjit K Kaul
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Interpretable Semantic Photo Geolocation Jonas Theiner, Eric Müller-Budack, Ralph Ewerth
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Is an Image Worth Five Sentences? a New Look into Semantics for Image-Text Matching Ali Furkan Biten, Andrés Mafla, Lluís Gómez, Dimosthenis Karatzas
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Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
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Knowledge Capture and Replay for Continual Learning Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham Fayek, Savitha Ramasamy, ArulMurugan Ambikapathi
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Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-Rays with Radiomics Using a Feedback Loop Yan Han, Chongyan Chen, Ahmed Tewfik, Benjamin Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang
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Lane-Level Street mAP Extraction from Aerial Imagery Songtao He, Hari Balakrishnan
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Late-Resizing: A Simple but Effective Sketch Extraction Strategy for Improving Generalization of Line-Art Colorization Dohyun Kim, Dajung Je, Kwangjin Lee, Moohyun Kim, Han Kim
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Latent Reweighting, an Almost Free Improvement for GANs Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary
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Latent to Latent: A Learned Mapper for Identity Preserving Editing of Multiple Face Attributes in StyleGAN-Generated Images Siavash Khodadadeh, Shabnam Ghadar, Saeid Motiian, Wei-An Lin, Ladislau Bölöni, Ratheesh Kalarot
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LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu
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Leaky Gated Cross-Attention for Weakly Supervised Multi-Modal Temporal Action Localization Jun-Tae Lee, Sungrack Yun, Mihir Jain
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Learnable Adaptive Cosine Estimator (LACE) for Image Classification Joshua Peeples, Connor H. McCurley, Sarah Walker, Dylan Stewart, Alina Zare
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Learnable Multi-Level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection Meiling Fang, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
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Learned Event-Based Visual Perception for Improved Space Object Detection Nikolaus Salvatore, Justin Fletcher
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Learning Color Representations for Low-Light Image Enhancement Bomi Kim, Sunhyeok Lee, Nahyun Kim, Donggon Jang, Dae-Shik Kim
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Learning Foreground-Background Segmentation from Improved Layered GANs Yu Yang, Hakan Bilen, Qiran Zou, Wing Yin Cheung, Xiangyang Ji
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Learning from the CNN-Based Compressed Domain Zhenzhen Wang, Minghai Qin, Yen-Kuang Chen
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Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding Lojze Žust, Matej Kristan
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Learning Temporal Video Procedure Segmentation from an Automatically Collected Large Dataset Lei Ji, Chenfei Wu, Daisy Zhou, Kun Yan, Edward Cui, Xilin Chen, Nan Duan
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Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann
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Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan
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Learning to Weight Filter Groups for Robust Classification Siyang Yuan, Yitong Li, Dong Wang, Ke Bai, Lawrence Carin, David Carlson
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Learning with Label Noise for Image Retrieval by Selecting Interactions Sarah Ibrahimi, Arnaud Sors, Rafael Sampaio de Rezende, Stéphane Clinchant
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Less Can Be More: Sound Source Localization with a Classification Model Arda Senocak, Hyeonggon Ryu, Junsik Kim, In So Kweon
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Let There Be a Clock on the Beach: Reducing Object Hallucination in Image Captioning Ali Furkan Biten, Lluís Gómez, Dimosthenis Karatzas
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Leveraging Test-Time Consensus Prediction for Robustness Against Unseen Noise Anindya Sarkar, Anirban Sarkar, Vineeth N Balasubramanian
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Lightweight Monocular Depth with a Novel Neural Architecture Search Method Lam Huynh, Phong Nguyen, Jiří Matas, Esa Rahtu, Janne Heikkilä
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Low-Cost Multispectral Scene Analysis with Modality Distillation Heng Zhang, Elisa Fromont, Sébastien Lefèvre, Bruno Avignon
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LwPosr: Lightweight Efficient Fine Grained Head Pose Estimation Naina Dhingra
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M3DETR: Multi-Representation, Multi-Scale, Mutual-Relation 3D Object Detection with Transformers Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha
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MAPS: Multimodal Attention for Product Similarity Nilotpal Das, Aniket Joshi, Promod Yenigalla, Gourav Agrwal
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Masking Modalities for Cross-Modal Video Retrieval Valentin Gabeur, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid
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MaskSplit: Self-Supervised Meta-Learning for Few-Shot Semantic Segmentation Mustafa Sercan Amac, Ahmet Sencan, Bugra Baran, Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis
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Matching and Recovering 3D People from Multiple Views Alejandro Perez-Yus, Antonio Agudo
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Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation Inseop Chung, Daesik Kim, Nojun Kwak
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Measuring Hidden Bias Within Face Recognition via Racial Phenotypes Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon
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Measuring Representation of Race, Gender, and Age in Children's Books: Face Detection and Feature Classification in Illustrated Images Teodora Szasz, Emileigh Harrison, Ping-Jung Liu, Ping-Chang Lin, Hakizumwami Birali Runesha, Anjali Adukia
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MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution Chenyu You, Lianyi Han, Aosong Feng, Ruihan Zhao, Hui Tang, Wei Fan
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Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun
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Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Sara Hahner, Jochen Garcke
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Meta Approach to Data Augmentation Optimization Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama
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Meta-Learning for Multi-Label Few-Shot Classification Christian Simon, Piotr Koniusz, Mehrtash Harandi
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Meta-Meta Classification for One-Shot Learning Arkabandhu Chowdhury, Dipak Chaudhari, Swarat Chaudhuri, Chris Jermaine
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Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection Using Meta-Learning Vibashan Vs, Domenick Poster, Suya You, Shuowen Hu, Vishal M. Patel
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METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy Izabela Horvath, Johannes Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertürk, Bjoern Menze
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MisConv: Convolutional Neural Networks for Missing Data Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski, Jacek Tabor
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Mixed-Dual-Head Meets Box Priors: A Robust Framework for Semi-Supervised Segmentation Chenshu Chen, Tao Liu, Wenming Tan, Shiliang Pu
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MM-ViT: Multi-Modal Video Transformer for Compressed Video Action Recognition Jiawei Chen, Chiu Man Ho
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Mobile Based Human Identification Using Forehead Creases: Application and Assessment Under COVID-19 Masked Face Scenarios Rohit Bharadwaj, Gaurav Jaswal, Aditya Nigam, Kamlesh Tiwari
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MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching Faranak Shamsafar, Samuel Woerz, Rafia Rahim, Andreas Zell
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Model Compression Using Optimal Transport Suhas Lohit, Michael Jones
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Modeling Aleatoric Uncertainty for Camouflaged Object Detection Jiawei Liu, Jing Zhang, Nick Barnes
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Modeling Dynamic Target Deformation in Camera Calibration Annika Hagemann, Moritz Knorr, Christoph Stiller
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MoESR: Blind Super-Resolution Using Kernel-Aware Mixture of Experts Mohammad Emad, Maurice Peemen, Henk Corporaal
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Monocular Depth Estimation with Adaptive Geometric Attention Taher Naderi, Amir Sadovnik, Jason Hayward, Hairong Qi
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MovingFashion: A Benchmark for the Video-to-Shop Challenge Marco Godi, Christian Joppi, Geri Skenderi, Marco Cristani
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MTGLS: Multi-Task Gaze Estimation with Limited Supervision Shreya Ghosh, Munawar Hayat, Abhinav Dhall, Jarrod Knibbe
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mToFNet: Object Anti-Spoofing with Mobile Time-of-Flight Data Yonghyun Jeong, Doyeon Kim, Jaehyeon Lee, Minki Hong, Solbi Hwang, Jongwon Choi
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MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion Shubh Maheshwari, Debtanu Gupta, Ravi Kiran Sarvadevabhatla
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Multi-Branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions Sam Leroux, Bo Li, Pieter Simoens
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Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution Zejiang Hou, Sun-Yuan Kung
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Multi-Domain Incremental Learning for Semantic Segmentation Prachi Garg, Rohit Saluja, Vineeth N Balasubramanian, Chetan Arora, Anbumani Subramanian, C.V. Jawahar
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Multi-Domain Semantic Segmentation with Overlapping Labels Petra Bevandić, Marin Oršić, Ivan Grubišić, Josip Šarić, Siniša Šegvić
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Multi-Head Deep Metric Learning Using Global and Local Representations Mohammad K. Ebrahimpour, Gang Qian, Allison Beach
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Multi-Level Attentive Adversarial Learning with Temporal Dilation for Unsupervised Video Domain Adaptation Peipeng Chen, Yuan Gao, Andy J. Ma
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Multi-Motion and Appearance Self-Supervised Moving Object Detection Fan Yang, Srikrishna Karanam, Meng Zheng, Terrence Chen, Haibin Ling, Ziyan Wu
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Multi-Scale Patch-Based Representation Learning for Image Anomaly Detection and Segmentation Chin-Chia Tsai, Tsung-Hsuan Wu, Shang-Hong Lai
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Multi-Stream Dynamic Video Summarization Mohamed Elfeki, Liqiang Wang, Ali Borji
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Multi-Task Classification of Sewer Pipe Defects and Properties Using a Cross-Task Graph Neural Network Decoder Joakim Bruslund Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund
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Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou, Nemanja Djuric, Carlos Vallespi-Gonzalez
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Multimodal Learning Using Optimal Transport for Sarcasm and Humor Detection Shraman Pramanick, Aniket Roy, Vishal M. Patel
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Mutual Learning of Joint and Separate Domain Alignments for Multi-Source Domain Adaptation Yuanyuan Xu, Meina Kan, Shiguang Shan, Xilin Chen
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Natural Language Video Moment Localization Through Query-Controlled Temporal Convolution Lingyu Zhang, Richard J. Radke
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Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains Molly O'Brien, Mike Medoff, Julia Bukowski, Gregory D. Hager
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Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool
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Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool
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No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency S. Alireza Golestaneh, Saba Dadsetan, Kris M. Kitani
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Non-Blind Deblurring for Fluorescence: A Deformable Latent Space Approach with Kernel Parameterization Ziqiao Guan, Esther H. R. Tsai, Xiaojing Huang, Kevin G. Yager, Hong Qin
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Non-Local Attention Improves Description Generation for Retinal Images Jia-Hong Huang, Ting-Wei Wu, C.-H. Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegner, Marcel Worring
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Non-Semantic Evaluation of Image Forensics Tools: Methodology and Database Quentin Bammey, Tina Nikoukhah, Marina Gardella, Rafael Grompone von Gioi, Miguel Colom, Jean-Michel Morel
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Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion Tanmay Kumar Sinha, Jayadev Naram, Pawan Kumar
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Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-Resolution Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte
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Novel Ensemble Diversification Methods for Open-Set Scenarios Miriam Farber, Roman Goldenberg, George Leifman, Gal Novich
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Novel-View Synthesis of Human Tourist Photos Jonathan Freer, Kwang Moo Yi, Wei Jiang, Jongwon Choi, Hyung Jin Chang
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NUTA: Non-Uniform Temporal Aggregation for Action Recognition Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe
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Occlusion Resistant Network for 3D Face Reconstruction Hitika Tiwari, Vinod K. Kurmi, K.S. Venkatesh, Yong-Sheng Chen
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Occlusion-Robust Object Pose Estimation with Holistic Representation Bo Chen, Tat-Jun Chin, Marius Klimavicius
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On Black-Box Explanation for Face Verification Domingo Mery, Bernardita Morris
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On the Effectiveness of Small Input Noise for Defending Against Query-Based Black-Box Attacks Junyoung Byun, Hyojun Go, Changick Kim
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On the Maximum Radius of Polynomial Lens Distortion Matthew J. Leotta, David Russell, Andrew Matrai
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One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection John Taylor Jewell, Vahid Reza Khazaie, Yalda Mohsenzadeh
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One-Shot Compositional Data Generation for Low Resource Handwritten Text Recognition Mohamed Ali Souibgui, Ali Furkan Biten, Sounak Dey, Alicia Fornés, Yousri Kessentini, Lluís Gómez, Dimosthenis Karatzas, Josep Lladós
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Online Continual Learning via Candidates Voting Jiangpeng He, Fengqing Zhu
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Online Knowledge Distillation by Temporal-Spatial Boosting Chengcheng Li, Zi Wang, Hairong Qi
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Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning Uche Osahor, Nasser M. Nasrabadi
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Parsing Line Chart Images Using Linear Programming Hajime Kato, Mitsuru Nakazawa, Hsuan-Kung Yang, Mark Chen, Björn Stenger
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Perceptual Consistency in Video Segmentation Yizhe Zhang, Shubhankar Borse, Hong Cai, Ying Wang, Ning Bi, Xiaoyun Jiang, Fatih Porikli
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PERF-Net: Pose Empowered RGB-Flow Net Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang
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PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals Tai-Yin Chiu, Danna Gurari
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Physical Adversarial Attacks on an Aerial Imagery Object Detector Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
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PICA: Point-Wise Instance and Centroid Alignment Based Few-Shot Domain Adaptive Object Detection with Loose Annotations Chaoliang Zhong, Jie Wang, Cheng Feng, Ying Zhang, Jun Sun, Yasuto Yokota
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Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation Antonio Tavera, Fabio Cermelli, Carlo Masone, Barbara Caputo
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Pixel-Level Bijective Matching for Video Object Segmentation Suhwan Cho, Heansung Lee, Minjung Kim, Sungjun Jang, Sangyoun Lee
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Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
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PoP-Net: Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image Yuliang Guo, Zhong Li, Zekun Li, Xiangyu Du, Shuxue Quan, Yi Xu
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Pose and Joint-Aware Action Recognition Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava
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Pose-Guided Generative Adversarial Net for Novel View Action Synthesis Xianhang Li, Junhao Zhang, Kunchang Li, Shruti Vyas, Yogesh S. Rawat
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Post-OCR Paragraph Recognition by Graph Convolutional Networks Renshen Wang, Yasuhisa Fujii, Ashok C. Popat
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PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression Duc Minh Vo, Akihiro Sugimoto, Hideki Nakayama
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PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage Daniel Scheliga, Patrick Mäder, Marco Seeland
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Predicting Levels of Household Electricity Consumption in Low-Access Settings Simone Fobi, Joel Mugyenyi, Nathaniel J. Williams, Vijay Modi, Jay Taneja
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PredStereo: An Accurate Real-Time Stereo Vision System Diksha Moolchandani, Nivedita Shrivastava, Anshul Kumar, Smruti R. Sarangi
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Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data Kuluhan Binici, Nam Trung Pham, Tulika Mitra, Karianto Leman
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Pro-CCaps: Progressively Teaching Colourisation to Capsules Rita Pucci, Christian Micheloni, Gian Luca Foresti, Niki Martinel
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Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search Xin Xia, Xuefeng Xiao, Xing Wang, Min Zheng
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PROVES: Establishing Image Provenance Using Semantic Signatures Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik
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QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog Muchao Ye, Quanzeng You, Fenglong Ma
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Quantified Facial Expressiveness for Affective Behavior Analytics Md Taufeeq Uddin, Shaun Canavan
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Re-Compose the Image by Evaluating the Crop on More than Just a Score Yang Cheng, Qian Lin, Jan P. Allebach
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Reconstructing Training Data from Diverse ML Models by Ensemble Inversion Qian Wang, Daniel Kurz
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Recursive Contour-Saliency Blending Network for Accurate Salient Object Detection Yun Yi Ke, Takahiro Tsubono
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REFICS: A Step Towards Linking Vision with Hardware Assurance Ronald Wilson, Hangwei Lu, Mengdi Zhu, Domenic Forte, Damon L. Woodard
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Registration of Human Point Set Using Automatic Key Point Detection and Region-Aware Features Amar Maharjan, Xiaohui Yuan
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REGroup: Rank-Aggregating Ensemble of Generative Classifiers for Robust Predictions Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee
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Resolution-Robust Large Mask Inpainting with Fourier Convolutions Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky
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Resource-Efficient Hybrid X-Formers for Vision Pranav Jeevan, Amit Sethi
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Rethinking Video Anomaly Detection - A Continual Learning Approach Keval Doshi, Yasin Yilmaz
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Revealing Disocclusions in Temporal View Synthesis Through Infilling Vector Prediction Vijayalakshmi Kanchana, Nagabhushan Somraj, Suraj Yadwad, Rajiv Soundararajan
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RGL-NET: A Recurrent Graph Learning Framework for Progressive Part Assembly Abhinav Narayan, Rajendra Nagar, Shanmuganathan Raman
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RLSS: A Deep Reinforcement Learning Algorithm for Sequential Scene Generation Azimkhon Ostonov, Peter Wonka, Dominik L. Michels
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Robust 3D Garment Digitization from Monocular 2D Images for 3D Virtual Try-on Systems Sahib Majithia, Sandeep N. Parameswaran, Sadbhavana Babar, Vikram Garg, Astitva Srivastava, Avinash Sharma
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Robust High-Resolution Video Matting with Temporal Guidance Shanchuan Lin, Linjie Yang, Imran Saleemi, Soumyadip Sengupta
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Robust Lane Detection via Expanded Self Attention Minhyeok Lee, Junhyeop Lee, Dogyoon Lee, Woojin Kim, Sangwon Hwang, Sangyoun Lee
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Robustly Recognizing Irregular Scene Text by Rectifying Principle Irregularities Changsheng Xu, Yang Wang, Fan Bai, Jihong Guan, Shuigeng Zhou
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S2-MLP: Spatial-Shift MLP Architecture for Vision Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li
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S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation Yan Yang, Md Zakir Hossain, Tom Gedeon, Shafin Rahman
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SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy
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Sandwich Batch Normalization: A Drop-in Replacement for Feature Distribution Heterogeneity Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang
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SBEVNet: End-to-End Deep Stereo Layout Estimation Divam Gupta, Wei Pu, Trenton Tabor, Jeff Schneider
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SC-UDA: Style and Content Gaps Aware Unsupervised Domain Adaptation for Object Detection Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen
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SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water Leon Amadeus Varga, Benjamin Kiefer, Martin Messmer, Andreas Zell
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Seeing Implicit Neural Representations as Fourier Series Nuri Benbarka, Timon Höfer, Hamd ul-Moqeet Riaz, Andreas Zell
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SeeTek: Very Large-Scale Open-Set Logo Recognition with Text-Aware Metric Learning Chenge Li, István Fehérvári, Xiaonan Zhao, Ives Macedo, Srikar Appalaraju
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SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang, Ruiping Wang, Xilin Chen
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Self-Guidance: Improve Deep Neural Network Generalization via Knowledge Distillation Zhenzhu Zheng, Xi Peng
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Self-Supervised Domain Adaptation for Visual Navigation with Global mAP Consistency Eun Sun Lee, Junho Kim, Young Min Kim
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Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation Devavrat Tomar, Behzad Bozorgtabar, Manana Lortkipanidze, Guillaume Vray, Mohammad Saeed Rad, Jean-Philippe Thiran
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Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks Seungbum Hong, Jihun Yoon, Min-Kook Choi, Junmo Kim
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Self-Supervised Learning of Domain Invariant Features for Depth Estimation Hiroyasu Akada, Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka
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Self-Supervised Pretraining Improves Self-Supervised Pretraining Colorado J Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell
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Self-Supervised Shape Alignment for Sports Field Registration Feng Shi, Paul Marchwica, Juan Camilo Gamboa Higuera, Michael Jamieson, Mehrsan Javan, Parthipan Siva
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Self-Supervised Test-Time Adaptation on Video Data Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto, Andreas Dengel
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Self-Supervised Video Representation Learning with Cross-Stream Prototypical Contrasting Martine Toering, Ioannis Gatopoulos, Maarten Stol, Vincent Tao Hu
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Semantically Stealthy Adversarial Attacks Against Segmentation Models Zhenhua Chen, Chuhua Wang, David Crandall
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Semi-Supervised Domain Adaptation via Sample-to-Sample Self-Distillation Jeongbeen Yoon, Dahyun Kang, Minsu Cho
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Semi-Supervised Multi-Task Learning for Semantics and Depth Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung, Wenrui Ding, Shuo Liu, Ming-Hsuan Yang
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Semi-Supervised Semantic Segmentation of Vessel Images Using Leaking Perturbations Jinyong Hou, Xuejie Ding, Jeremiah D. Deng
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Shadow Art Revisited: A Differentiable Rendering Based Approach Kaustubh Sadekar, Ashish Tiwari, Shanmuganathan Raman
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Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
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Shape-Coded ArUco: Fiducial Marker for Bridging 2D and 3D Modalities Lilika Makabe, Hiroaki Santo, Fumio Okura, Yasuyuki Matsushita
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Sharing Decoders: Network Fission for Multi-Task Pixel Prediction Steven Hickson, Karthik Raveendran, Irfan Essa
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Short-Term Solar Irradiance Prediction from Sky Images with a Clear Sky Model Huiyu Gao, Miaomiao Liu
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Siamese Transformer Pyramid Networks for Real-Time UAV Tracking Daitao Xing, Nikolaos Evangeliou, Athanasios Tsoukalas, Anthony Tzes
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SIDE: Center-Based Stereo 3D Detector with Structure-Aware Instance Depth Estimation Xidong Peng, Xinge Zhu, Tai Wang, Yuexin Ma
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Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network Jichao Kan, Kun Hu, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Zhiyong Wang
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SIGNAV: Semantically-Informed GPS-Denied Navigation and Mapping in Visually-Degraded Environments Alex Krasner, Mikhail Sizintsev, Abhinav Rajvanshi, Han-Pang Chiu, Niluthpol Mithun, Kevin Kaighn, Philip Miller, Ryan Villamil, Supun Samarasekera
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Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM Yizhou Li, Yusuke Monno, Masatoshi Okutomi
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Single Image Object Counting and Localizing Using Active-Learning Inbar Huberman-Spiegelglas, Raanan Fattal
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Single Source One Shot Reenactment Using Weighted Motion from Paired Feature Points Soumya Tripathy, Juho Kannala, Esa Rahtu
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Single-Photon Camera Guided Extreme Dynamic Range Imaging Yuhao Liu, Felipe Gutierrez-Barragan, Atul Ingle, Mohit Gupta, Andreas Velten
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Single-Shot Dense Active Stereo with Pixel-Wise Phase Estimation Based on Grid-Structure Using CNN and Correspondence Estimation Using GCN Ryo Furukawa, Michihiro Mikamo, Ryusuke Sagawa, Hiroshi Kawasaki
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Single-Shot Path Integrated Panoptic Segmentation Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim
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Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition Raphael Memmesheimer, Simon Häring, Nick Theisen, Dietrich Paulus
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Spatial-Temporal Transformer for 3D Point Cloud Sequences Yimin Wei, Hao Liu, Tingting Xie, Qiuhong Ke, Yulan Guo
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Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns Hirokatsu Kataoka, Kensho Hara, Ryusuke Hayashi, Eisuke Yamagata, Nakamasa Inoue
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SpectraNet: Learned Recognition of Artificial Satellites from High Contrast Spectroscopic Imagery J. Zachary Gazak, Ian McQuaid, Ryan Swindle, Matthew Phelps, Justin Fletcher
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SporeAgent: Reinforced Scene-Level Plausibility for Object Pose Refinement Dominik Bauer, Timothy Patten, Markus Vincze
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SSCAP: Self-Supervised Co-Occurrence Action Parsing for Unsupervised Temporal Action Segmentation Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless Fowlkes
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StickyLocalization: Robust End-to-End Relocalization on Point Clouds Using Graph Neural Networks Kai Fischer, Martin Simon, Stefan Milz, Patrick Mäder
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Strumming to the Beat: Audio-Conditioned Contrastive Video Textures Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell
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Style Agnostic 3D Reconstruction via Adversarial Style Transfer Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne
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StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation Umut Kocasari, Alara Dirik, Mert Tiftikci, Pinar Yanardag
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Stylizing 3D Scene via Implicit Representation and HyperNetwork Pei-Ze Chiang, Meng-Shiun Tsai, Hung-Yu Tseng, Wei-Sheng Lai, Wei-Chen Chiu
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Supervised Compression for Resource-Constrained Edge Computing Systems Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt
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Surrogate Model-Based Explainability Methods for Point Cloud NNs Hanxiao Tan, Helena Kotthaus
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SWAG-V: Explanations for Video Using Superpixels Weighted by Average Gradients Thomas Hartley, Kirill Sidorov, Christopher Willis, David Marshall
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Symmetric-Light Photometric Stereo Kazuma Minami, Hiroaki Santo, Fumio Okura, Yasuyuki Matsushita
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T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation Tariq M. Khan, Antonio Robles-Kelly, Syed S. Naqvi
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TA-Net: Topology-Aware Network for Gland Segmentation Haotian Wang, Min Xian, Aleksandar Vakanski
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Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Viswanathan Swaminathan, Henry Fuchs
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Temporally Stable Video Segmentation Without Video Annotations Aharon Azulay, Tavi Halperin, Orestis Vantzos, Nadav Bornstein, Ofir Bibi
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Tensor Feature Hallucination for Few-Shot Learning Michalis Lazarou, Tania Stathaki, Yannis Avrithis
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Tensor-Based Non-Rigid Structure from Motion Stella Graßhof, Sami Sebastian Brandt
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The Hitchhiker's Guide to Prior-Shift Adaptation Tomáš Šipka, Milan Šulc, Jiří Matas
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The Untapped Potential of Off-the-Shelf Convolutional Neural Networks Matthew Inkawhich, Nathan Inkawhich, Eric Davis, Hai Li, Yiran Chen
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Time-Space Transformers for Video Panoptic Segmentation Andra Petrovai, Sergiu Nedevschi
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To Miss-Attend Is to Misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors Vaishnavi Khindkar, Chetan Arora, Vineeth N Balasubramanian, Anbumani Subramanian, Rohit Saluja, C.V. Jawahar
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Towards a Robust Differentiable Architecture Search Under Label Noise Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
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Towards Active Vision for Action Localization with Reactive Control and Predictive Learning Shubham Trehan, Sathyanarayanan N. Aakur
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Towards Class-Oriented Poisoning Attacks Against Neural Networks Bingyin Zhao, Yingjie Lao
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Towards Durability Estimation of Bioprosthetic Heart Valves via Motion Symmetry Analysis Maryam Alizadeh, Melissa Cote, Alexandra Branzan Albu
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Trading-Off Information Modalities in Zero-Shot Classification Jorge Sánchez, Matías Molina
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Transfer Learning for Pose Estimation of Illustrated Characters Shuhong Chen, Matthias Zwicker
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TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim
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Typenet: Towards Camera Enabled Touch Typing on Flat Surfaces Through Self-Refinement Ben Maman, Amit Bermano
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Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration Xuan Gong, Luckyson Khaidem, Wentao Zhu, Baochang Zhang, David Doermann
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UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett Landman, Holger R. Roth, Daguang Xu
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Unsupervised Learning for Human Sensing Using Radio Signals Tianhong Li, Lijie Fan, Yuan Yuan, Dina Katabi
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Unsupervised Robust Domain Adaptation Without Source Data Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool
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Unsupervised Sounding Object Localization with Bottom-up and Top-Down Attention Jiayin Shi, Chao Ma
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Unveiling Real-Life Effects of Online Photo Sharing Van-Khoa Nguyen, Adrian Popescu, Jérôme Deshayes-Chossart
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V-SlowFast Network for Efficient Visual Sound Separation Lingyu Zhu, Esa Rahtu
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Variational Stacked Local Attention Networks for Diverse Video Captioning Tonmoay Deb, Akib Sadmanee, Kishor Kumar Bhaumik, Amin Ahsan Ali, M Ashraful Amin, A K M Mahbubur Rahman
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VCSeg: Virtual Camera Adaptation for Road Segmentation Gong Cheng, James H. Elder
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Video and Text Matching with Conditioned Embeddings Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf
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Video Salient Object Detection via Contrastive Features and Attention Modules Yi-Wen Chen, Xiaojie Jin, Xiaohui Shen, Ming-Hsuan Yang
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Visual Understanding of Complex Table Structures from Document Images Sachin Raja, Ajoy Mondal, C.V. Jawahar
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Visualizing Paired Image Similarity in Transformer Networks Samuel Black, Abby Stylianou, Robert Pless, Richard Souvenir
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Visually Guided Sound Source Separation and Localization Using Self-Supervised Motion Representations Lingyu Zhu, Esa Rahtu
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Weakly Supervised Branch Network with Template Mask for Classifying Masses in 3D Automated Breast Ultrasound Daekyung Kim, Chang-Mo Nam, Haesol Park, Mijung Jang, Kyong Joon Lee
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Weakly Supervised Learning for Joint Image Denoising and Protein Localization in Cryo-Electron Microscopy Qinwen Huang, Ye Zhou, Hsuan-Fu Liu, Alberto Bartesaghi
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Weakly-Supervised Convolutional Neural Networks for Vessel Segmentation in Cerebral Angiography Arvind Vepa, Andrew Choi, Noor Nakhaei, Wonjun Lee, Noah Stier, Andrew Vu, Greyson Jenkins, Xiaoyan Yang, Manjot Shergill, Moira Desphy, Kevin Delao, Mia Levy, Cristopher Garduno, Lacy Nelson, Wandi Liu, Fan Hung, Fabien Scalzo
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WEPDTOF: A Dataset and Benchmark Algorithms for In-the-Wild People Detection and Tracking from Overhead Fisheye Cameras Ozan Tezcan, Zhihao Duan, Mertcan Cokbas, Prakash Ishwar, Janusz Konrad
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