Homanga Bharadhwaj

71 papers A* 14A 3B 3Misc 1Journal 44Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dexterous Manipulation Policies from RGB Human Videos via 3D Hand-Object Trajectory Reconstruction. CoRR Hongyi Chen, Tony Dong, Tiancheng Wu, Liquan Wang, Yash Jangir, Yaru Niu, Yufei Ye, Homanga Bharadhwaj, Zackory Erickson, Jeffrey Ichnowski
2026	J	`jnl`	LiLo-VLA: Compositional Long-Horizon Manipulation via Linked Object-Centric Policies. CoRR Yue Yang, Shuo Cheng, Yu Fang, Homanga Bharadhwaj, Mingyu Ding, Gedas Bertasius, Daniel Szafir
2026	J	`jnl`	ObjectForesight: Predicting Future 3D Object Trajectories from Human Videos. CoRR Rustin Soraki, Homanga Bharadhwaj, Ali Farhadi, Roozbeh Mottaghi
2026	J	`jnl`	Walk through Paintings: Egocentric World Models from Internet Priors. CoRR Anurag Bagchi, Zhipeng Bao, Homanga Bharadhwaj, Yu-Xiong Wang, Pavel Tokmakov, Martial Hebert
2025	J	`jnl`	DemoDiffusion: One-Shot Human Imitation using pre-trained Diffusion Policy. CoRR Sungjae Park, Homanga Bharadhwaj, Shubham Tulsiani
2025	J	`jnl`	Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations. CoRR Irmak Guzey, Haozhi Qi, Julen Urain, Changhao Wang, Jessica Yin, Krishna Bodduluri, Mike Lambeta, Lerrel Pinto, Akshara Rai, Jitendra Malik, Tingfan Wu, Akash Sharma, Homanga Bharadhwaj
2025	J	`jnl`	Flowing from Reasoning to Motion: Learning 3D Hand Trajectory Prediction from Egocentric Human Interaction Videos. CoRR Mingfei Chen, Yifan Wang, Zhengqin Li, Homanga Bharadhwaj, Yujin Chen, Chuan Qin, Ziyi Kou, Yuan Tian, Eric Whitmire, Rajinder Sodhi, Hrvoje Benko, Eli Shlizerman, Yue Liu
2025	J	`jnl`	HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction. Trans. Mach. Learn. Res. Chen Bao, Jiarui Xu, Xiaolong Wang, Abhinav Gupta, Homanga Bharadhwaj
2025	J	`jnl`	SPIDER: Scalable Physics-Informed Dexterous Retargeting. CoRR Chaoyi Pan, Changhao Wang, Haozhi Qi, Zixi Liu, Homanga Bharadhwaj, Akash Sharma, Tingfan Wu, Guanya Shi, Jitendra Malik, François Robert Hogan
2025	J	`jnl`	Semantically controllable augmentations for generalizable robot learning. Int. J. Robotics Res. Zoey Qiuyu Chen, Zhao Mandi, Homanga Bharadhwaj, Mohit Sharma, Shuran Song, Abhishek Gupta, Vikash Kumar
2025	J	`jnl`	Web2Grasp: Learning Functional Grasps from Web Images of Hand-Object Interactions. CoRR Hongyi Chen, Yunchao Yao, Yufei Ye, Zhixuan Xu, Homanga Bharadhwaj, Jiashun Wang, Shubham Tulsiani, Zackory Erickson, Jeffrey Ichnowski
2024	J	`jnl`	Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation. CoRR Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani
2024	J	`jnl`	HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction. CoRR Chen Bao, Jiarui Xu, Xiaolong Wang, Abhinav Gupta, Homanga Bharadhwaj
2024	A*	`conf`	Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation. ICML Homanga Bharadhwaj
2024	A*	`conf`	RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking. ICRA Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar
2024	J	`jnl`	Semantically Controllable Augmentations for Generalizable Robot Learning. CoRR Zoey Qiuyu Chen, Zhao Mandi, Homanga Bharadhwaj, Mohit Sharma, Shuran Song, Abhishek Gupta, Vikash Kumar
2024	A*	`conf`	Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. ICRA Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani
2024	—	`conf`	Track2Act: Predicting Point Tracks from Internet Videos Enables Generalizable Robot Manipulation. ECCV (76) Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani
2024	J	`jnl`	Track2Act: Predicting Point Tracks from Internet Videos enables Diverse Zero-shot Robot Manipulation. CoRR Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani
2023	J	`jnl`	RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking. CoRR Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar
2023	A*	`conf`	Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective. ICLR Raj Ghugare, Homanga Bharadhwaj, Benjamin Eysenbach, Sergey Levine, Russ Salakhutdinov
2023	J	`jnl`	Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. CoRR Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani
2023	A*	`conf`	Visual Affordance Prediction for Guiding Robot Exploration. ICRA Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani
2023	J	`jnl`	Visual Affordance Prediction for Guiding Robot Exploration. CoRR Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani
2023	J	`jnl`	Zero-Shot Robot Manipulation from Passive Human Videos. CoRR Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar
2022	J	`jnl`	CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning. CoRR Zhao Mandi, Homanga Bharadhwaj, Vincent Moens, Shuran Song, Aravind Rajeswaran, Vikash Kumar
2022	J	`jnl`	INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL. CoRR Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine
2022	A*	`conf`	Information Prioritization through Empowerment in Visual Model-based RL. ICLR Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine
2022	J	`jnl`	Offline Policy Optimization in RL with Variance Regularizaton. CoRR Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Animesh Garg, Zhaoran Wang, Lihong Li, Doina Precup
2022	J	`jnl`	Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective. CoRR Raj Ghugare, Homanga Bharadhwaj, Benjamin Eysenbach, Sergey Levine, Ruslan Salakhutdinov
2021	J	`jnl`	Auditing AI models for Verified Deployment under Semantic Specifications. CoRR Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg
2021	Misc	`conf`	Auditing Robot Learning for Safety and Compliance during Deployment. CoRL Homanga Bharadhwaj
2021	J	`jnl`	Auditing Robot Learning for Safety and Compliance during Deployment. CoRR Homanga Bharadhwaj
2021	A*	`conf`	Conservative Safety Critics for Exploration. ICLR Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg
2021	A*	`conf`	Continual Model-Based Reinforcement Learning with Hypernetworks. ICRA Yizhou Huang, Kevin Xie, Homanga Bharadhwaj, Florian Shkurti
2021	A*	`conf`	DIBS: Diversity Inducing Information Bottleneck in Model Ensembles. AAAI Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti
2021	A*	`conf`	Generalized Adversarially Learned Inference. AAAI Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai
2021	A*	`conf`	LEAF: Latent Exploration Along the Frontier. ICRA Homanga Bharadhwaj, Animesh Garg, Florian Shkurti
2021	A*	`conf`	Latent Skill Planning for Exploration and Transfer. ICLR Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
2021	A	`conf`	Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos. IROS Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg
2021	J	`jnl`	Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos. CoRR Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg
2020	J	`jnl`	A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification. CoRR Vikas Singh, Homanga Bharadhwaj, Nishchal K. Verma
2020	A	`conf`	A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. WACV Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai
2020	J	`jnl`	Conservative Safety Critics for Exploration. CoRR Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg
2020	J	`jnl`	Continual Model-Based Reinforcement Learning with Hypernetworks. CoRR Yizhou Huang, Kevin Xie, Homanga Bharadhwaj, Florian Shkurti
2020	J	`jnl`	D2RL: Deep Dense Architectures in Reinforcement Learning. CoRR Samarth Sinha, Homanga Bharadhwaj, Aravind Srinivas, Animesh Garg
2020	J	`jnl`	DIBS: Diversity inducing Information Bottleneck in Model Ensembles. CoRR Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti
2020	J	`jnl`	De-anonymization of authors through arXiv submissions during double-blind review. CoRR Homanga Bharadhwaj, Dylan Turpin, Animesh Garg, Ashton Anderson
2020	—	`conf`	DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. ECCV (8) Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. CoRR Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks. CoRR Homanga Bharadhwaj, Animesh Garg, Florian Shkurti
2020	J	`jnl`	Generalized Adversarially Learned Inference. CoRR Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai
2020	A*	`conf`	MANGA: Method Agnostic Neural-policy Generalization and Adaptation. ICRA Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
2020	—	`conf`	Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization. L4DC Homanga Bharadhwaj, Kevin Xie, Florian Shkurti
2020	J	`jnl`	Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization. CoRR Homanga Bharadhwaj, Kevin Xie, Florian Shkurti
2020	J	`jnl`	Skill Transfer via Partially Amortized Hierarchical Planning. CoRR Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
2019	A*	`conf`	A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. ICRA Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull
2019	J	`jnl`	A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. CoRR Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai
2019	B	`conf`	A Synchro-phasor Assisted Optimal Features Based Scheme for Fault Detection and Classification. IJCNN Homanga Bharadhwaj, Avinash Kumar, Abheejeet Mohapatra
2019	—	`conf`	Explainable recommender system that maximizes exploration. IUI Companion Homanga Bharadhwaj
2019	B	`conf`	Hierarchical Multi-Task Learning for Healthy Drink Classification. IJCNN Homin Park, Homanga Bharadhwaj, Brian Y. Lim
2019	J	`jnl`	MANGA: Method Agnostic Neural-policy Generalization and Adaptation. CoRR Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
2019	B	`conf`	Meta-Learning for User Cold-Start Recommendation. IJCNN Homanga Bharadhwaj
2019	—	`conf`	New Tab Page Recommendations Strongly Concentrate Web Browsing to Familiar Sources. WebSci Homanga Bharadhwaj, Nisheeth Srivastava
2018	J	`jnl`	A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. CoRR Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull
2018	J	`jnl`	Explanations for Temporal Recommendations. CoRR Homanga Bharadhwaj, Shruti Joshi
2018	J	`jnl`	Explanations for Temporal Recommendations. Künstliche Intell. Homanga Bharadhwaj, Shruti Joshi
2018	—	`conf`	Layer-Wise Relevance Propagation for Explainable Deep Learning Based Speech Recognition. ISSPIT Homanga Bharadhwaj
2018	J	`jnl`	Layer-wise Relevance Propagation for Explainable Recommendations. CoRR Homanga Bharadhwaj
2018	J	`jnl`	New tab page recommendations cause a strong suppression of exploratory web browsing behaviors. CoRR Homanga Bharadhwaj, Nisheeth Srivastava
2018	A	`conf`	RecGAN: recurrent generative adversarial networks for recommendation systems. RecSys Homanga Bharadhwaj, Homin Park, Brian Y. Lim