Deva Ramanan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
163
Venues
17
Active years
2000–2026
Best venue rank
A*
Where they publish
Papers
163 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Activation Reward Models for Few-Shot Model Alignment. | Tianning Chai, Chancharik Mitra, Brandon Huang, Gautam Rajendrakumar Gare, Zhiqiu Lin, Assaf Arbelle, Leonid Karlinsky, Rogrio Feris, Trevor Darrell, Deva Ramanan, Roei Herzig |
| 2025 | ACL | InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning. | Zifu Wan, Yaqi Xie, Ce Zhang, Zhiqiu Lin, Zihan Wang, Simon Stepputtis, Deva Ramanan, Katia P. Sycara |
| 2025 | CVPR | Using Diffusion Priors for Video Amodal Segmentation. | Kaihua Chen, Deva Ramanan, Tarasha Khurana |
| 2025 | CVPR | AerialMegaDepth: Learning Aerial-Ground Reconstruction and View Synthesis. | Khiem Vuong, Anurag Ghosh, Deva Ramanan, Srinivasa G. Narasimhan, Shubham Tulsiani |
| 2025 | CVPR | Reanimating Images using Neural Representations of Dynamic Stimuli. | Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr |
| 2025 | CVPR | DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion. | Qitao Zhao, Amy Lin, Jeff Tan, Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani |
| 2025 | ICCV | 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 |
| 2025 | ICCV | Towards Foundational Models for Single-Chip Radar. | Tianshu Huang, Akarsh Prabhakara, Chuhan Chen, Jay Karhade, Deva Ramanan, Matthew O'Toole, Anthony Rowe |
| 2025 | ICCV | Enhancing Few-Shot Vision-Language Classification With Large Multimodal Model Features. | Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogrio Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig |
| 2025 | ICCV | Generating Physically Stable and Buildable Brick Structures from Text. | Ava Pun, Kangle Deng, Ruixuan Liu, Deva Ramanan, Changliu Liu, Jun-Yan Zhu |
| 2025 | ICCV | MonoFusion: Sparse-View 4D Reconstruction via Monocular Fusion. | Zihan Wang, Jeff Tan, Tarasha Khurana, Neehar Peri, Deva Ramanan |
| 2025 | ICCV | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICRA | BETTY Dataset: A Multi-Modal Dataset for Full-Stack Autonomy. | Micah Nye, Ayoub Raji, Andrew Saba, Eidan Erlich, Robert Exley, Aragya Goyal, Alexander Matros, Ritesh Misra, Matthew Sivaprakasam, Marko Bertogna, Deva Ramanan, Sebastian A. Scherer |
| 2025 | ICRA | Planning with Adaptive World Models for Autonomous Driving. | Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan |
| 2024 | CoRL | Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection. | Mehar Khurana, Neehar Peri, James Hays, Deva Ramanan |
| 2024 | CVPR | SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM. | Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian A. Scherer, Deva Ramanan, Jonathon Luiten |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Language Models as Black-Box Optimizers for Vision-Language Models. | Shihong Liu, Samuel Yu, Zhiqiu Lin, Deepak Pathak, Deva Ramanan |
| 2024 | CVPR | The Neglected Tails in Vision-Language Models. | Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong |
| 2024 | CVPR | HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces. | Haithem Turki, Vasu Agrawal, Samuel Rota Bul, Lorenzo Porzi, Peter Kontschieder, Deva Ramanan, Michael Zollhfer, Christian Richardt |
| 2024 | ECCV | FlashTex: Fast Relightable Mesh Texturing with LightControlNet. | Kangle Deng, Timothy Omernick, Alexander Weiss, Deva Ramanan, Jun-Yan Zhu, Tinghui Zhou, Maneesh Agrawala |
| 2024 | ECCV | I Can't Believe It's Not Scene Flow! | Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Better Call SAL: Towards Learning to Segment Anything in Lidar. | Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taix |
| 2024 | ICLR | Cameras as Rays: Pose Estimation via Ray Diffusion. | Jason Y. Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan, Shubham Tulsiani |
| 2024 | ICLR | ZeroFlow: Scalable Scene Flow via Distillation. | Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays |
| 2024 | ICML | Revisiting the Role of Language Priors in Vision-Language Models. | Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan |
| 2024 | WACV | Re-Evaluating LiDAR Scene Flow. | Nathaniel Chodosh, Deva Ramanan, Simon Lucey |
| 2023 | CVPR | TarViS: A Unified Approach for Target-Based Video Segmentation. | Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe |
| 2023 | CVPR | 3D-aware Conditional Image Synthesis. | Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu |
| 2023 | CVPR | Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting. | Tarasha Khurana, Peiyun Hu, David Held, Deva Ramanan |
| 2023 | CVPR | Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. | Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan |
| 2023 | CVPR | Soft Augmentation for Image Classification. | Yang Liu, Shen Yan, Laura Leal-Taix, James Hays, Deva Ramanan |
| 2023 | CVPR | WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models. | Aboli Marathe, Deva Ramanan, Rahee Walambe, Ketan Kotecha |
| 2023 | CVPR | Distilling Neural Fields for Real-Time Articulated Shape Reconstruction. | Jeff Tan, Gengshan Yang, Deva Ramanan |
| 2023 | CVPR | Learning to Zoom and Unzoom. | Chittesh Thavamani, Mengtian Li, Francesco Ferroni, Deva Ramanan |
| 2023 | CVPR | SUDS: Scalable Urban Dynamic Scenes. | Haithem Turki, Jason Y. Zhang, Francesco Ferroni, Deva Ramanan |
| 2023 | CVPR | Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images. | Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan |
| 2023 | CVPR | Reconstructing Animatable Categories from Videos. | Gengshan Yang, Chaoyang Wang, N. Dinesh Reddy, Deva Ramanan |
| 2023 | ICCV | Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. | Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan |
| 2023 | ICCV | Joint Metrics Matter: A Better Standard for Trajectory Forecasting. | Erica Weng, Hana Hoshino, Deva Ramanan, Kris Kitani |
| 2023 | ICCV | PPR: Physically Plausible Reconstruction from Monocular Videos. | Gengshan Yang, Shuo Yang, John Z. Zhang, Zachary Manchester, Deva Ramanan |
| 2023 | ICML | Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. | Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui |
| 2023 | IROS | Lidar Panoptic Segmentation and Tracking without Bells and Whistles. | Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taix, James Hays, Aljosa Osep, Deva Ramanan |
| 2023 | IROS | Streaming Motion Forecasting for Autonomous Driving. | Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang |
| 2023 | MOBICOM | Low-Bandwidth Self-Improving Transmission of Rare Training Data. | Shilpa Anna George, Haithem Turki, Ziqiang Feng, Deva Ramanan, Padmanabhan Pillai, Mahadev Satyanarayanan |
| 2023 | WACV | 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 |
| 2023 | WACV | Far3Det: Towards Far-Field 3D Detection. | Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong |
| 2022 | CoRL | Towards Long-Tailed 3D Detection. | Neehar Peri, Achal Dave, Deva Ramanan, Shu Kong |
| 2022 | CVPR | Long- Tailed Recognition via Weight Balancing. | Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Depth-supervised NeRF: Fewer Views and Faster Training for Free. | Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan |
| 2022 | CVPR | Opening up Open World Tracking. | Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljosa Osep, Laura Leal-Taix |
| 2022 | CVPR | Forecasting from LiDAR via Future Object Detection. | Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taix, Deva Ramanan |
| 2022 | CVPR | Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs. | Haithem Turki, Deva Ramanan, Mahadev Satyanarayanan |
| 2022 | CVPR | BANMo: Building Animatable 3D Neural Models from Many Casual Videos. | Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo |
| 2022 | ECCV | Multimodal Object Detection via Probabilistic Ensembling. | Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong |
| 2022 | ECCV | Differentiable Raycasting for Self-Supervised Occupancy Forecasting. | Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan |
| 2022 | ECCV | RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild. | Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani |
| 2021 | CVPR | Safe Local Motion Planning With Self-Supervised Freespace Forecasting. | Peiyun Hu, Aaron Huang, John M. Dolan, David Held, Deva Ramanan |
| 2021 | CVPR | Background Splitting: Finding Rare Classes in a Sea of Background. | Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian |
| 2021 | CVPR | Learning To Segment Rigid Motions From Two Frames. | Gengshan Yang, Deva Ramanan |
| 2021 | CVPR | 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 |
| 2021 | ICCV | Detecting Invisible People. | Tarasha Khurana, Achal Dave, Deva Ramanan |
| 2021 | ICCV | OpenGAN: Open-Set Recognition via Open Data Generation. | Shu Kong, Deva Ramanan |
| 2021 | ICCV | Learning Rare Category Classifiers on a Tight Labeling Budget. | Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian |
| 2021 | ICCV | Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. | Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian |
| 2021 | ICCV | Do Image Classifiers Generalize Across Time? | Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt |
| 2021 | ICCV | FOVEA: Foveated Image Magnification for Autonomous Navigation. | Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan |
| 2021 | ICLR | Unsupervised Audiovisual Synthesis via Exemplar Autoencoders. | Kangle Deng, Aayush Bansal, Deva Ramanan |
| 2020 | CVPR | 4D Visualization of Dynamic Events From Unconstrained Multi-View Videos. | Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa G. Narasimhan |
| 2020 | CVPR | What You See is What You Get: Exploiting Visibility for 3D Object Detection. | Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan |
| 2020 | CVPR | Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion. | Gengshan Yang, Deva Ramanan |
| 2020 | ECCV | TAO: A Large-Scale Benchmark for Tracking Any Object. | Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan |
| 2020 | ECCV | Towards Streaming Perception. | Mengtian Li, Yu-Xiong Wang, Deva Ramanan |
| 2020 | ECCV | 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 |
| 2020 | ICLR | CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning. | Rohit Girdhar, Deva Ramanan |
| 2020 | ICLR | MetaPix: Few-Shot Video Retargeting. | Jessica Lee, Deva Ramanan, Rohit Girdhar |
| 2020 | ICLR | Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints. | Mengtian Li, Ersin Yumer, Deva Ramanan |
| 2020 | ICLR | Learning to Move with Affordance Maps. | William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan |
| 2019 | CVPR | Shapes and Context: In-The-Wild Image Synthesis & Manipulation. | Aayush Bansal, Yaser Sheikh, Deva Ramanan |
| 2019 | CVPR | Argoverse: 3D Tracking and Forecasting With Rich Maps. | Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays |
| 2019 | CVPR | Hierarchical Deep Stereo Matching on High-Resolution Images. | Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan |
| 2019 | ICCV | DistInit: Learning Video Representations Without a Single Labeled Video. | Rohit Girdhar, Du Tran, Lorenzo Torresani, Deva Ramanan |
| 2019 | ICCV | Online Model Distillation for Efficient Video Inference. | Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian |
| 2019 | ICCV | Weakly-Supervised Action Localization With Background Modeling. | Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes |
| 2019 | ICCV | Towards Latent Attribute Discovery From Triplet Similarities. | Ishan Nigam, Pavel Tokmakov, Deva Ramanan |
| 2019 | ICCV | Meta-Learning to Detect Rare Objects. | Yu-Xiong Wang, Deva Ramanan, Martial Hebert |
| 2019 | ICLR | Active Learning with Partial Feedback. | Peiyun Hu, Zachary C. Lipton, Anima Anandkumar, Deva Ramanan |
| 2019 | IROS | Inferring Distributions Over Depth from a Single Image. | Gengshan Yang, Peiyun Hu, Deva Ramanan |
| 2019 | WACV | Photo-Sketching: Inferring Contour Drawings From Images. | Mengtian Li, Zhe Lin, Radomr Mech, Ersin Yumer, Deva Ramanan |
| 2018 | AAAI | Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier. | Mengtian Li, Lszl A. Jeni, Deva Ramanan |
| 2018 | ECCV | Recycle-GAN: Unsupervised Video Retargeting. | Aayush Bansal, Shugao Ma, Deva Ramanan, Yaser Sheikh |
| 2018 | ECCV | Few-Shot Human Motion Prediction via Meta-learning. | Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, Jos M. F. Moura |
| 2018 | ICLR | PixelNN: Example-based Image Synthesis. | Aayush Bansal, Yaser Sheikh, Deva Ramanan |
| 2018 | ICML | Active Testing: An Efficient and Robust Framework for Estimating Accuracy. | Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes |
| 2018 | WACV | Learning Generative Models of Tissue Organization with Supervised GANs. | Ligong Han, Robert F. Murphy, Deva Ramanan |
| 2018 | WACV | Ensemble Knowledge Transfer for Semantic Segmentation. | Ishan Nigam, Chen Huang, Deva Ramanan |
| 2018 | WACV | The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement. | Jingyan Wang, Olga Russakovsky, Deva Ramanan |
| 2017 | BMVC | Fine-Grained Forensic Matching. | Bailey Kong, James Steven Supancic III, Deva Ramanan, Charless C. Fowlkes |
| 2017 | CVPR | 3D Human Pose Estimation = 2D Pose Estimation + Matching. | Ching-Hang Chen, Deva Ramanan |
| 2017 | CVPR | Predictive-Corrective Networks for Action Detection. | Achal Dave, Olga Russakovsky, Deva Ramanan |
| 2017 | CVPR | ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification. | Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan C. Russell |
| 2017 | CVPR | Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters. | Shiyu Huang, Deva Ramanan |
| 2017 | CVPR | Finding Tiny Faces. | Peiyun Hu, Deva Ramanan |
| 2017 | CVPR | Growing a Brain: Fine-Tuning by Increasing Model Capacity. | Yu-Xiong Wang, Deva Ramanan, Martial Hebert |
| 2017 | ICCV | Need for Speed: A Benchmark for Higher Frame Rate Object Tracking. | Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey |
| 2017 | ICCV | Learning Policies for Adaptive Tracking with Deep Feature Cascades. | Chen Huang, Simon Lucey, Deva Ramanan |
| 2017 | ICCV | Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning. | James Steven Supancic III, Deva Ramanan |
| 2016 | CVPR | Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians. | Peiyun Hu, Deva Ramanan |
| 2016 | WACV | Categorizing cubes: Revisiting pose normalization. | Mohsen Hejrati, Deva Ramanan |
| 2015 | CVPR | Articulated pose estimation with tiny synthetic videos. | Dennis Park, Deva Ramanan |
| 2015 | CVPR | First-person pose recognition using egocentric workspaces. | Grgory Rogez, James Steven Supancic III, Deva Ramanan |
| 2015 | ICCV | 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 |
| 2015 | ICCV | Understanding Everyday Hands in Action from RGB-D Images. | Grgory Rogez, James Steven Supancic III, Deva Ramanan |
| 2015 | ICCV | Depth-Based Hand Pose Estimation: Data, Methods, and Challenges. | James Steven Supancic III, Grgory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan |
| 2015 | ICCV | Multi-scale Recognition with DAG-CNNs. | Songfan Yang, Deva Ramanan |
| 2014 | CVPR | Parsing Occluded People. | Golnaz Ghiasi, Yi Yang, Deva Ramanan, Charless C. Fowlkes |
| 2014 | CVPR | Analysis by Synthesis: 3D Object Recognition by Object Reconstruction. | Mohsen Hejrati, Deva Ramanan |
| 2014 | CVPR | Parsing Videos of Actions with Segmental Grammars. | Hamed Pirsiavash, Deva Ramanan |
| 2014 | CVPR | Capturing Long-Tail Distributions of Object Subcategories. | Xiangxin Zhu, Dragomir Anguelov, Deva Ramanan |
| 2014 | ECCV | Microsoft COCO: Common Objects in Context. | Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollr, C. Lawrence Zitnick |
| 2014 | ECCV | 3D Hand Pose Detection in Egocentric RGB-D Images. | Grgory Rogez, Maryam Khademi, James Steven Supancic III, J. M. M. Montiel, Deva Ramanan |
| 2014 | WACV | 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 |
| 2013 | CVPR | Predicting Functional Regions on Objects. | Chaitanya Desai, Deva Ramanan |
| 2013 | CVPR | Exploring Weak Stabilization for Motion Feature Extraction. | Dennis Park, C. Lawrence Zitnick, Deva Ramanan, Piotr Dollr |
| 2013 | CVPR | Histograms of Sparse Codes for Object Detection. | Xiaofeng Ren, Deva Ramanan |
| 2013 | CVPR | Self-Paced Learning for Long-Term Tracking. | James Steven Supancic III, Deva Ramanan |
| 2013 | PERCOM | Scheduling sensors for monitoring sentient spaces using an approximate POMDP policy. | Ronen Vaisenberg, Alessio Della Motta, Sharad Mehrotra, Deva Ramanan |
| 2012 | BMVC | Do We Need More Training Data or Better Models for Object Detection?. | Xiangxin Zhu, Carl Vondrick, Deva Ramanan, Charless C. Fowlkes |
| 2012 | CVPR | Detecting activities of daily living in first-person camera views. | Hamed Pirsiavash, Deva Ramanan |
| 2012 | CVPR | Steerable part models. | Hamed Pirsiavash, Deva Ramanan |
| 2012 | CVPR | Recognizing proxemics in personal photos. | Yi Yang, Simon Baker, Anitha Kannan, Deva Ramanan |
| 2012 | CVPR | Face detection, pose estimation, and landmark localization in the wild. | Xiangxin Zhu, Deva Ramanan |
| 2012 | ECCV | Detecting Actions, Poses, and Objects with Relational Phraselets. | Chaitanya Desai, Deva Ramanan |
| 2012 | ECCV | Discriminative Decorrelation for Clustering and Classification. | Bharath Hariharan, Jitendra Malik, Deva Ramanan |
| 2011 | AVSS | AVSS 2011 demo session: 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 |
| 2011 | CVPR | Where's Waldo: Matching people in images of crowds. | Rahul Garg, Steven M. Seitz, Deva Ramanan, Noah Snavely |
| 2011 | CVPR | 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 |
| 2011 | CVPR | Globally-optimal greedy algorithms for tracking a variable number of objects. | Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes |
| 2011 | CVPR | Articulated pose estimation with flexible mixtures-of-parts. | Yi Yang, Deva Ramanan |
| 2011 | ICCV | N-best maximal decoders for part models. | Dennis Park, Deva Ramanan |
| 2010 | CVPR | Discriminative models for static human-object interactions. | Chaitanya Desai, Deva Ramanan, Charless C. Fowlkes |
| 2010 | CVPR | Layered object detection for multi-class segmentation. | Yi Yang, Sam Hallman, Deva Ramanan, Charless C. Fowlkes |
| 2010 | ECCV | Multiresolution Models for Object Detection. | Dennis Park, Deva Ramanan, Charless C. Fowlkes |
| 2010 | ECCV | Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces. | Carl Vondrick, Deva Ramanan, Donald J. Patterson |
| 2010 | ICML | Discriminative Latent Variable Models for Object Detection. | Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan |
| 2009 | ICCV | Discriminative models for multi-class object layout. | Chaitanya Desai, Deva Ramanan, Charless C. Fowlkes |
| 2009 | ICCV | Local distance functions: A taxonomy, new algorithms, and an evaluation. | Deva Ramanan, Simon Baker |
| 2008 | CVPR | A discriminatively trained, multiscale, deformable part model. | Pedro F. Felzenszwalb, David A. McAllester, Deva Ramanan |
| 2008 | CVPR | Increasing the density of Active Appearance Models. | Krishnan Ramnath, Simon Baker, Iain A. Matthews, Deva Ramanan |
| 2007 | CVPR | Using Segmentation to Verify Object Hypotheses. | Deva Ramanan |
| 2007 | ICCV | Leveragingarchivalvideo for building face datasets. | Deva Ramanan, Simon Baker, Sham M. Kakade |
| 2007 | MVA | Assessment of Post-Stroke Functioning Using Machine Vision. | Sonya Allin, Deva Ramanan |
| 2006 | CVPR | Training Deformable Models for Localization. | Deva Ramanan, Cristian Sminchisescu |
| 2005 | CVPR | Detecting, Localizing and Recovering Kinematics of Textured Animals. | Deva Ramanan, David A. Forsyth, Kobus Barnard |
| 2005 | CVPR | Strike a Pose: Tracking People by Finding Stylized Poses. | Deva Ramanan, David A. Forsyth, Andrew Zisserman |
| 2005 | CVPR | Tracking People and Recognizing Their Activities. | Deva Ramanan, David A. Forsyth, Andrew Zisserman |
| 2003 | CVPR | Finding and Tracking People from the Bottom Up. | Deva Ramanan, David A. Forsyth |
| 2003 | ICCV | Using Temporal Coherence to Build Models of Animals. | Deva Ramanan, David A. Forsyth |
| 2000 | ICIP | Nonlinear Image Interpolation Through Extended Permutation Filters. | Deva Ramanan, Kenneth E. Barner |