Dinesh Jayaraman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
11
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SENSYS | Motion Capture with Millimeter-Wave Tags. | Xin Yang, Freddy Yifei Liu, Yunshuang Li, Yao Gong, Dinesh Jayaraman, Omid Abari, Mingmin Zhao |
| 2025 | ICLR | The Belief State Transformer. | Edward S. Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford |
| 2025 | ICLR | The Value of Sensory Information to a Robot. | Arjun Krishna, Edward S. Hu, Dinesh Jayaraman |
| 2025 | ICLR | Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model. | Long Le, Jason Xie, William Liang, Hung-Ju Wang, Yue Yang, Yecheng Jason Ma, Kyle Vedder, Arjun Krishna, Dinesh Jayaraman, Eric Eaton |
| 2025 | ICLR | Vision Language Models are In-Context Value Learners. | Yecheng Jason Ma, Joey Hejna, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia |
| 2025 | ICLR | REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments. | Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee |
| 2025 | ICRA | ZeroMimic: Distilling Robotic Manipulation Skills from Web Videos. | Junyao Shi, Zhuolun Zhao, Tianyou Wang, Ian Pedroza, Amy Luo, Jie Wang, Jason Ma, Dinesh Jayaraman |
| 2025 | ICRA | Leveraging Symmetry to Accelerate Learning of Trajectory Tracking Controllers for Free-Flying Robotic Systems. | Jake Welde, Nishanth Rao, Pratik Kunapuli, Dinesh Jayaraman, Vijay Kumar |
| 2024 | CoRL | Environment Curriculum Generation via Large Language Models. | William Liang, Sam Wang, Hung-Ju Wang, Osbert Bastani, Dinesh Jayaraman, Yecheng Jason Ma |
| 2024 | CoRL | Task-Oriented Hierarchical Object Decomposition for Visuomotor Control. | Jianing Qian, Yunshuang Li, Bernadette Bucher, Dinesh Jayaraman |
| 2024 | ECCV | TLControl: Trajectory and Language Control for Human Motion Synthesis. | Weilin Wan, Zhiyang Dou, Taku Komura, Wenping Wang, Dinesh Jayaraman, Lingjie Liu |
| 2024 | ICLR | Privileged Sensing Scaffolds Reinforcement Learning. | Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman |
| 2024 | ICLR | Eureka: Human-Level Reward Design via Coding Large Language Models. | Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar |
| 2024 | ICLR | Memory-Consistent Neural Networks for Imitation Learning. | Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, James Weimer, Insup Lee |
| 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 | ICLR | Can Transformers Capture Spatial Relations between Objects? | Chuan Wen, Dinesh Jayaraman, Yang Gao |
| 2024 | ICRA | Universal Visual Decomposer: Long-Horizon Manipulation Made Easy. | Zichen Zhang, Yunshuang Li, Osbert Bastani, Abhishek Gupta, Dinesh Jayaraman, Yecheng Jason Ma, Luca Weihs |
| 2024 | ICRA | Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport. | Sriram Narayanan, Dinesh Jayaraman, Manmohan Chandraker |
| 2024 | ICRA | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. | Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schlkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Bchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, Joo Silvrio, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Snderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martn-Martn, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin |
| 2024 | ICRA | Recasting Generic Pretrained Vision Transformers As Object-Centric Scene Encoders For Manipulation Policies. | Jianing Qian, Anastasios Panagopoulos, Dinesh Jayaraman |
| 2024 | ICRA | Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models. | Junyao Shi, Jianing Qian, Yecheng Jason Ma, Dinesh Jayaraman |
| 2023 | CoRL | Im2Contact: Vision-Based Contact Localization Without Touch or Force Sensing. | Leon Kim, Yunshuang Li, Michael Posa, Dinesh Jayaraman |
| 2023 | ICLR | Planning Goals for Exploration. | Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman |
| 2023 | ICLR | VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training. | Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang |
| 2023 | ICML | LIV: Language-Image Representations and Rewards for Robotic Control. | Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman |
| 2022 | AAAI | Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning. | Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman |
| 2022 | CoRL | Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning. | Kun Huang, Edward S. Hu, Dinesh Jayaraman |
| 2022 | ECCV | Discovering Deformable Keypoint Pyramids. | Jianing Qian, Anastasios Panagopoulos, Dinesh Jayaraman |
| 2022 | ICLR | Know Thyself: Transferable Visual Control Policies Through Robot-Awareness. | Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman |
| 2022 | ICML | Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching. | Yecheng Jason Ma, Andrew Shen, Dinesh Jayaraman, Osbert Bastani |
| 2022 | ICML | Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming. | Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao |
| 2021 | ICCV | Probabilistic Modeling for Human Mesh Recovery. | Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman, Kostas Daniilidis |
| 2021 | ICCV | Likelihood-Based Diverse Sampling for Trajectory Forecasting. | Yecheng Jason Ma, Jeevana Priya Inala, Dinesh Jayaraman, Osbert Bastani |
| 2021 | ICLR | SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments. | Glen Berseth, Daniel Geng, Coline Manon Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine |
| 2021 | ICML | Keyframe-Focused Visual Imitation Learning. | Chuan Wen, Jierui Lin, Jianing Qian, Yang Gao, Dinesh Jayaraman |
| 2020 | CoRL | Model-Based Inverse Reinforcement Learning from Visual Demonstrations. | Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier |
| 2020 | ICML | Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings. | Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman |
| 2019 | ICLR | Time-Agnostic Prediction: Predicting Predictable Video Frames. | Dinesh Jayaraman, Frederik Ebert, Alexei A. Efros, Sergey Levine |
| 2019 | ICRA | Manipulation by Feel: Touch-Based Control with Deep Predictive Models. | Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine |
| 2019 | ICRA | REPLAB: A Reproducible Low-Cost Arm Benchmark for Robotic Learning. | Brian H. Yang, Dinesh Jayaraman, Jesse Zhang, Sergey Levine |
| 2018 | CVPR | Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks. | Dinesh Jayaraman, Kristen Grauman |
| 2018 | ECCV | ShapeCodes: Self-supervised Feature Learning by Lifting Views to Viewgrids. | Dinesh Jayaraman, Ruohan Gao, Kristen Grauman |
| 2016 | ACCV | Object-Centric Representation Learning from Unlabeled Videos. | Ruohan Gao, Dinesh Jayaraman, Kristen Grauman |
| 2016 | ACCV | Pano2Vid: Automatic Cinematography for Watching 360° Videos. | Yu-Chuan Su, Dinesh Jayaraman, Kristen Grauman |
| 2016 | CVPR | Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video. | Dinesh Jayaraman, Kristen Grauman |
| 2016 | ECCV | Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion. | Dinesh Jayaraman, Kristen Grauman |
| 2015 | ICCV | Learning Image Representations Tied to Ego-Motion. | Dinesh Jayaraman, Kristen Grauman |
| 2014 | CVPR | Decorrelating Semantic Visual Attributes by Resisting the Urge to Share. | Dinesh Jayaraman, Fei Sha, Kristen Grauman |
| 2012 | ACSSC | Objective quality assessment of multiply distorted images. | Dinesh Jayaraman, Anish Mittal, Anush K. Moorthy, Alan C. Bovik |