Ramanan, Deva

166 publications

CVPR 2025 AerialMegaDepth: Learning Aerial-Ground Reconstruction and View Synthesis Khiem Vuong, Anurag Ghosh, Deva Ramanan, Srinivasa Narasimhan, Shubham Tulsiani

CVPR 2025 DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion Qitao Zhao, Amy Lin, Jeff Tan, Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani

ICCV 2025 Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization Kangle Deng, Hsueh-Ti Derek Liu, Yiheng Zhu, Xiaoxia Sun, Chong Shang, Kiran S. Bhat, Deva Ramanan, Jun-Yan Zhu, Maneesh Agrawala, Tinghui Zhou

ICCV 2025 Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogerio Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig

ICCV 2025 Generating Physically Stable and Buildable Brick Structures from Text Ava Pun, Kangle Deng, Ruixuan Liu, Deva Ramanan, Changliu Liu, Jun-Yan Zhu

ICCV 2025 MonoFusion: Sparse-View 4D Reconstruction via Monocular Fusion Zihan Wang, Jeff Tan, Tarasha Khurana, Neehar Peri, Deva Ramanan

ICLR 2025 Neural Eulerian Scene Flow Fields Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton, Mehmet Kemal Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl

ICCV 2025 ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models Zifu Wan, Ce Zhang, Silong Yong, Martin Q. Ma, Simon Stepputtis, Louis-Philippe Morency, Deva Ramanan, Katia Sycara, Yaqi Xie

NeurIPS 2025 RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion Bardienus Pieter Duisterhof, Jan Oberst, Bowen Wen, Stan Birchfield, Deva Ramanan, Jeffrey Ichnowski

CVPR 2025 Reanimating Images Using Neural Representations of Dynamic Stimuli Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr

NeurIPS 2025 Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-View Synthesis from Monocular Videos Kaihua Chen, Tarasha Khurana, Deva Ramanan

NeurIPS 2025 Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models Matvei Popov, Peter Robicheaux, Anish Madan, Isaac Robinson, Joseph Nelson, Deva Ramanan, Neehar Peri

ICLR 2025 Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models Ce Zhang, Zifu Wan, Zhehan Kan, Martin Q. Ma, Simon Stepputtis, Deva Ramanan, Russ Salakhutdinov, Louis-Philippe Morency, Katia P. Sycara, Yaqi Xie

ICCV 2025 Towards Foundational Models for Single-Chip Radar Tianshu Huang, Akarsh Prabhakara, Chuhan Chen, Jay Karhade, Deva Ramanan, Matthew O'toole, Anthony Rowe

NeurIPS 2025 Towards Understanding Camera Motions in Any Video Zhiqiu Lin, Siyuan Cen, Daniel Jiang, Jay Karhade, Hewei Wang, Chancharik Mitra, Yu Tong Tiffany Ling, Yuhan Huang, Rushikesh Zawar, Xue Bai, Yilun Du, Chuang Gan, Deva Ramanan

NeurIPS 2025 UFM: A Simple Path Towards Unified Dense Correspondence with Flow Yuchen Zhang, Nikhil Varma Keetha, Chenwei Lyu, Bhuvan Jhamb, Yutian Chen, Yuheng Qiu, Jay Karhade, Shreyas Jha, Yaoyu Hu, Deva Ramanan, Sebastian Scherer, Wenshan Wang

CVPR 2025 Using Diffusion Priors for Video Amodal Segmentation Kaihua Chen, Deva Ramanan, Tarasha Khurana

ECCV 2024 Better Call SAL: Towards Learning to Segment Anything in LiDAR Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé

ICLR 2024 Cameras as Rays: Pose Estimation via Ray Diffusion Jason Y. Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan, Shubham Tulsiani

ECCV 2024 Evaluating Text-to-Visual Generation with Image-to-Text Generation Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan

CVPRW 2024 Evaluating and Improving Compositional Text-to-Visual Generation Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan

ECCV 2024 FlashTex: Fast Relightable Mesh Texturing with LightControlNet Kangle Deng, Timothy Omernick, Alexander B Weiss, Deva Ramanan, Jun-Yan Zhu, Tinghui Zhou, Maneesh Agrawala

CVPR 2024 HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces Haithem Turki, Vasu Agrawal, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Deva Ramanan, Michael Zollhöfer, Christian Richardt

ECCV 2024 I Can't Believe It's Not Scene Flow! Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays

NeurIPSW 2024 Incorporating Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models Ce Zhang, Zifu Wan, Zhehan Kan, Martin Q. Ma, Simon Stepputtis, Deva Ramanan, Russ Salakhutdinov, Louis-Philippe Morency, Katia P. Sycara, Yaqi Xie

CVPR 2024 Language Models as Black-Box Optimizers for Vision-Language Models Shihong Liu, Samuel Yu, Zhiqiu Lin, Deepak Pathak, Deva Ramanan

NeurIPS 2024 NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples Baiqi Li, Zhiqiu Lin, Wenxuan Peng, Jean de Dieu Nyandwi, Daniel Jiang, Zixian Ma, Simran Khanuja, Ranjay Krishna, Graham Neubig, Deva Ramanan

WACV 2024 Re-Evaluating LiDAR Scene Flow Nathaniel Chodosh, Deva Ramanan, Simon Lucey

NeurIPS 2024 Revisiting Few-Shot Object Detection with Vision-Language Models Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan

ICML 2024 Revisiting the Role of Language Priors in Vision-Language Models Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan

CoRL 2024 Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection Mehar Khurana, Neehar Peri, James Hays, Deva Ramanan

CVPR 2024 SplaTAM: Splat Track & mAP 3D Gaussians for Dense RGB-D SLAM Nikhil Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian Scherer, Deva Ramanan, Jonathon Luiten

CVPR 2024 The Neglected Tails in Vision-Language Models Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong

ICLR 2024 ZeroFlow: Scalable Scene Flow via Distillation Kyle Vedder, Neehar Peri, Nathaniel Eliot Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays

CVPR 2023 3D-Aware Conditional Image Synthesis Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu

ICCVW 2023 An Empirical Analysis of Range for 3D Object Detection Neehar Peri, Mengtian Li, Benjamin Wilson, Yu-Xiong Wang, James Hays, Deva Ramanan

WACV 2023 BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, Deva Ramanan

CVPR 2023 Distilling Neural Fields for Real-Time Articulated Shape Reconstruction Jeff Tan, Gengshan Yang, Deva Ramanan

WACV 2023 Far3Det: Towards Far-Field 3D Detection Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong

ICCV 2023 Joint Metrics Matter: A Better Standard for Trajectory Forecasting Erica Weng, Hana Hoshino, Deva Ramanan, Kris Kitani

NeurIPSW 2023 LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian, Siqi Chai, Zhiqiu Lin, Arun Balajee Vasudevan, Di Feng, Francesco Ferroni, Shu Kong, Deva Ramanan

ICML 2023 Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui

CVPR 2023 Learning to Zoom and Unzoom Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan

CVPR 2023 Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan

ICCV 2023 PPR: Physically Plausible Reconstruction from Monocular Videos Gengshan Yang, Shuo Yang, John Z. Zhang, Zachary Manchester, Deva Ramanan

CVPR 2023 Pix2map: Cross-Modal Retrieval for Inferring Street Maps from Images Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljoša Ošep, Deva Ramanan

CVPR 2023 Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting Tarasha Khurana, Peiyun Hu, David Held, Deva Ramanan

NeurIPS 2023 PyNeRF: Pyramidal Neural Radiance Fields Haithem Turki, Michael Zollhöfer, Christian Richardt, Deva Ramanan

CVPR 2023 Reconstructing Animatable Categories from Videos Gengshan Yang, Chaoyang Wang, N. Dinesh Reddy, Deva Ramanan

CVPR 2023 SUDS: Scalable Urban Dynamic Scenes Haithem Turki, Jason Y. Zhang, Francesco Ferroni, Deva Ramanan

CVPR 2023 Soft Augmentation for Image Classification Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan

CVPR 2023 TarViS: A Unified Approach for Target-Based Video Segmentation Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe

ICCV 2023 Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan

CVPRW 2023 WEDGE: A Multi-Weather Autonomous Driving Dataset Built from Generative Vision-Language Models Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha

CVPR 2022 BANMo: Building Animatable 3D Neural Models from Many Casual Videos Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo

NeurIPS 2022 Continual Learning with Evolving Class Ontologies Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong

CVPR 2022 Depth-Supervised NeRF: Fewer Views and Faster Training for Free Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan

ECCV 2022 Differentiable Raycasting for Self-Supervised Occupancy Forecasting Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan

CVPR 2022 Forecasting from LiDAR via Future Object Detection Neehar Peri, Jonathon Luiten, Mengtian Li, Aljoša Ošep, Laura Leal-Taixé, Deva Ramanan

CVPR 2022 HODOR: High-Level Object Descriptors for Object Re-Segmentation in Video Learned from Static Images Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe

NeurIPS 2022 Learning to Discover and Detect Objects Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep

CVPR 2022 Long-Tailed Recognition via Weight Balancing Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong

CVPR 2022 Mega-NERF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs Haithem Turki, Deva Ramanan, Mahadev Satyanarayanan

ECCV 2022 Multimodal Object Detection via Probabilistic Ensembling Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong

CVPR 2022 Opening up Open World Tracking Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljoša Ošep, Laura Leal-Taixé

ECCV 2022 RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani

CoRL 2022 Towards Long-Tailed 3D Detection Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong

CVPR 2021 Background Splitting: Finding Rare Classes in a Sea of Background Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian

ICCV 2021 Detecting Invisible People Tarasha Khurana, Achal Dave, Deva Ramanan

ICCV 2021 Do Image Classifiers Generalize Across Time? Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt

ICCV 2021 FOVEA: Foveated Image Magnification for Autonomous Navigation Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan

CVPR 2021 LASR: Learning Articulated Shape Reconstruction from a Monocular Video Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu

ICCV 2021 Learning Rare Category Classifiers on a Tight Labeling Budget Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian

CVPR 2021 Learning to Segment Rigid Motions from Two Frames Gengshan Yang, Deva Ramanan

ICCV 2021 Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit S. Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian

NeurIPS 2021 NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild Jason Zhang, Gengshan Yang, Shubham Tulsiani, Deva Ramanan

ICCV 2021 OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong, Deva Ramanan

CVPR 2021 Safe Local Motion Planning with Self-Supervised Freespace Forecasting Peiyun Hu, Aaron Huang, John Dolan, David Held, Deva Ramanan

ICLR 2021 Unsupervised Audiovisual Synthesis via Exemplar Autoencoders Kangle Deng, Aayush Bansal, Deva Ramanan

NeurIPS 2021 ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Ce Liu, Deva Ramanan

ICLR 2020 Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints Mengtian Li, Ersin Yumer, Deva Ramanan

ICLR 2020 CATER: A Diagnostic Dataset for Compositional Actions & TEmporal Reasoning Rohit Girdhar, Deva Ramanan

ICLR 2020 Learning to Move with Affordance Maps William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan

ICLR 2020 MetaPix: Few-Shot Video Retargeting Jessica Lee, Deva Ramanan, Rohit Girdhar

ECCV 2020 Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa

ECCV 2020 TAO: A Large-Scale Benchmark for Tracking Any Object Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan

ECCV 2020 Towards Streaming Perception Mengtian Li, Yu-Xiong Wang, Deva Ramanan

ICMLW 2019 A Systematic Framework for Natural Perturbations from Videos Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt

ICLR 2019 Active Learning with Partial Feedback Peiyun Hu, Zachary C. Lipton, Anima Anandkumar, Deva Ramanan

ICCVW 2019 Are We Asking the Right Questions in MovieQA? Bhavan Jasani, Rohit Girdhar, Deva Ramanan

WACV 2019 Photo-Sketching: Inferring Contour Drawings from Images Mengtian Li, Zhe Lin, Radomír Mech, Ersin Yumer, Deva Ramanan

ICCVW 2019 Recognizing Tiny Faces Siva Chaitanya Mynepalli, Peiyun Hu, Deva Ramanan

ICCVW 2019 Towards Segmenting Anything That Moves Achal Dave, Pavel Tokmakov, Deva Ramanan

NeurIPS 2019 Volumetric Correspondence Networks for Optical Flow Gengshan Yang, Deva Ramanan

ICML 2018 Active Testing: An Efficient and Robust Framework for Estimating Accuracy Phuc Nguyen, Deva Ramanan, Charless Fowlkes

AAAI 2018 Brute-Force Facial Landmark Analysis with a 140, 000-Way Classifier Mengtian Li, László A. Jeni, Deva Ramanan

WACV 2018 Ensemble Knowledge Transfer for Semantic Segmentation Ishan Nigam, Chen Huang, Deva Ramanan

ECCV 2018 Few-Shot Human Motion Prediction via Meta-Learning Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, Jose M. F. Moura

WACV 2018 Learning Generative Models of Tissue Organization with Supervised GANs Ligong Han, Robert F. Murphy, Deva Ramanan

ICLR 2018 PixelNN: Example-Based Image Synthesis Aayush Bansal, Yaser Sheikh, Deva Ramanan

ECCV 2018 Recycle-GAN: Unsupervised Video Retargeting Aayush Bansal, Shugao Ma, Deva Ramanan, Yaser Sheikh

WACV 2018 The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement Jingyan Wang, Olga Russakovsky, Deva Ramanan

CVPR 2017 3D Human Pose Estimation = 2D Pose Estimation + Matching Ching-Hang Chen, Deva Ramanan

CVPR 2017 ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan Russell

NeurIPS 2017 Attentional Pooling for Action Recognition Rohit Girdhar, Deva Ramanan

CVPR 2017 Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters Shiyu Huang, Deva Ramanan

CVPR 2017 Finding Tiny Faces Peiyun Hu, Deva Ramanan

CVPR 2017 Growing a Brain: Fine-Tuning by Increasing Model Capacity Yu-Xiong Wang, Deva Ramanan, Martial Hebert

ICCV 2017 Learning Policies for Adaptive Tracking with Deep Feature Cascades Chen Huang, Simon Lucey, Deva Ramanan

NeurIPS 2017 Learning to Model the Tail Yu-Xiong Wang, Deva Ramanan, Martial Hebert

ICCV 2017 Need for Speed: A Benchmark for Higher Frame Rate Object Tracking Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey

CVPR 2017 Predictive-Corrective Networks for Action Detection Achal Dave, Olga Russakovsky, Deva Ramanan

ICCV 2017 Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning James Supancic,III, Deva Ramanan

CVPR 2016 Bottom-up and Top-Down Reasoning with Hierarchical Rectified Gaussians Peiyun Hu, Deva Ramanan

WACV 2016 Categorizing Cubes: Revisiting Pose Normalization Mohsen Hejrati, Deva Ramanan

CVPRW 2015 Articulated Pose Estimation with Tiny Synthetic Videos Dennis Park, Deva Ramanan

ICCV 2015 Depth-Based Hand Pose Estimation: Data, Methods, and Challenges James S. Supancic Iii, Gregory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan

CVPR 2015 First-Person Pose Recognition Using Egocentric Workspaces Gregory Rogez, James S. Supancic Iii, Deva Ramanan

ICCV 2015 Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang

ICCV 2015 Multi-Scale Recognition with DAG-CNNs Songfan Yang, Deva Ramanan

ICCV 2015 Understanding Everyday Hands in Action from RGB-D Images Gregory Rogez, James S. Supancic Iii, Deva Ramanan

ECCVW 2014 3D Hand Pose Detection in Egocentric RGB-D Images Grégory Rogez, Maryam Khademi, James Steven Supancic Iii, J. M. M. Montiel, Deva Ramanan

CVPR 2014 Analysis by Synthesis: 3D Object Recognition by Object Reconstruction Mohsen Hejrati, Deva Ramanan

WACV 2014 AutoCaption: Automatic Caption Generation for Personal Photos Krishnan Ramnath, Simon Baker, Lucy Vanderwende, Motaz Ahmad El-Saban, Sudipta N. Sinha, Anitha Kannan, Noran Hassan, Michel Galley, Yi Yang, Deva Ramanan, Alessandro Bergamo, Lorenzo Torresani

CVPR 2014 Capturing Long-Tail Distributions of Object Subcategories Xiangxin Zhu, Dragomir Anguelov, Deva Ramanan

ECCV 2014 Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick

CVPR 2014 Parsing Occluded People Golnaz Ghiasi, Yi Yang, Deva Ramanan, Charless C. Fowlkes

CVPR 2014 Parsing Videos of Actions with Segmental Grammars Hamed Pirsiavash, Deva Ramanan

CVPR 2013 Exploring Weak Stabilization for Motion Feature Extraction Dennis Park, C. L. Zitnick, Deva Ramanan, Piotr Dollar

CVPR 2013 Histograms of Sparse Codes for Object Detection Xiaofeng Ren, Deva Ramanan

CVPRW 2013 Predicting Functional Regions on Objects Chaitanya Desai, Deva Ramanan

CVPR 2013 Self-Paced Learning for Long-Term Tracking James S. Supancic Iii, Deva Ramanan

NeurIPS 2012 Analyzing 3D Objects in Cluttered Images Mohsen Hejrati, Deva Ramanan

ECCV 2012 Detecting Actions, Poses, and Objects with Relational Phraselets Chaitanya Desai, Deva Ramanan

CVPR 2012 Detecting Activities of Daily Living in First-Person Camera Views Hamed Pirsiavash, Deva Ramanan

ECCV 2012 Discriminative Decorrelation for Clustering and Classification Bharath Hariharan, Jitendra Malik, Deva Ramanan

CVPR 2012 Face Detection, Pose Estimation, and Landmark Localization in the Wild Xiangxin Zhu, Deva Ramanan

CVPR 2012 Recognizing Proxemics in Personal Photos Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan

CVPR 2012 Steerable Part Models Hamed Pirsiavash, Deva Ramanan

CVPR 2011 A Large-Scale Benchmark Dataset for Event Recognition in Surveillance Video Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry S. Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai

CVPR 2011 Articulated Pose Estimation with Flexible Mixtures-of-Parts Yi Yang, Deva Ramanan

CVPR 2011 Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes

ICCV 2011 N-Best Maximal Decoders for Part Models Dennis Park, Deva Ramanan

NeurIPS 2011 Statistical Tests for Optimization Efficiency Levi Boyles, Anoop Korattikara, Deva Ramanan, Max Welling

NeurIPS 2011 Video Annotation and Tracking with Active Learning Carl Vondrick, Deva Ramanan

CVPR 2011 Where's Waldo: Matching People in Images of Crowds Rahul Garg, Steven M. Seitz, Deva Ramanan, Noah Snavely

ICML 2010 Discriminative Latent Variable Models for Object Detection Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan

CVPRW 2010 Discriminative Models for Static Human-Object Interactions Chaitanya Desai, Deva Ramanan, Charless C. Fowlkes

ECCV 2010 Efficiently Scaling up Video Annotation with Crowdsourced Marketplaces Carl Vondrick, Deva Ramanan, Donald J. Patterson

CVPR 2010 Layered Object Detection for Multi-Class Segmentation Yi Yang, Sam Hallman, Deva Ramanan, Charless C. Fowlkes

ECCV 2010 Multiresolution Models for Object Detection Dennis Park, Deva Ramanan, Charless C. Fowlkes

NeurIPS 2009 Bilinear Classifiers for Visual Recognition Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes

ICCV 2009 Discriminative Models for Multi-Class Object Layout Chaitanya Desai, Deva Ramanan, Charless C. Fowlkes

ICCV 2009 Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation Deva Ramanan, Simon Baker

CVPR 2008 A Discriminatively Trained, Multiscale, Deformable Part Model Pedro F. Felzenszwalb, David A. McAllester, Deva Ramanan

CVPR 2008 Increasing the Density of Active Appearance Models Krishnan Ramnath, Simon Baker, Iain A. Matthews, Deva Ramanan

ICCV 2007 Leveragingarchivalvideo for Building Face Datasets Deva Ramanan, Simon Baker, Sham M. Kakade

CVPR 2007 Using Segmentation to Verify Object Hypotheses Deva Ramanan

NeurIPS 2006 Learning to Parse Images of Articulated Bodies Deva Ramanan

CVPR 2006 Training Deformable Models for Localization Deva Ramanan, Cristian Sminchisescu

CVPR 2005 Detecting, Localizing and Recovering Kinematics of Textured Animals Deva Ramanan, David A. Forsyth, Kobus Barnard

CVPR 2005 Strike a Pose: Tracking People by Finding Stylized Poses Deva Ramanan, David A. Forsyth, Andrew Zisserman

CVPR 2005 Tracking People and Recognizing Their Activities Deva Ramanan, David A. Forsyth, Andrew Zisserman

NeurIPS 2003 Automatic Annotation of Everyday Movements Deva Ramanan, David A. Forsyth

CVPR 2003 Finding and Tracking People from the Bottom up Deva Ramanan, David A. Forsyth

ICCV 2003 Using Temporal Coherence to Build Models of Animals Deva Ramanan, David A. Forsyth