David Held - RankMe

172 papers A* 29A 10B 1C 1Misc 19Journal 96Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling. CoRR Tal Daniel, Carl Qi, Dan Haramati, Amir Zadeh, Chuan Li, Aviv Tamar, Deepak Pathak, David Held
2025	J	`jnl`	ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation. CoRR Yufei Wang, Ziyu Wang, Mino Nakura, Pratik Bhowal, Chia-Liang Kuo, Yi-Ting Chen, Zackory Erickson, David Held
2025	J	`jnl`	Force-Modulated Visual Policy for Robot-Assisted Dressing with Arm Motions. CoRR Alexis Yihong Hao, Yufei Wang, Navin Sriram Ravie, Bharath Hegde, David Held, Zackory Erickson
2025	J	`jnl`	Geometric Red-Teaming for Robotic Manipulation. CoRR Divyam Goel, Yufei Wang, Tiancheng Wu, Guixiu Qiao, Pavel Piliptchak, David Held, Zackory Erickson
2025	J	`jnl`	Learn from What We HAVE: History-Aware VErifier that Reasons about Past Interactions Online. CoRR Yishu Li, Xinyi Mao, Ying Yuan, Kyutae Sim, Ben Eisner, David Held
2025	J	`jnl`	Planning from Point Clouds over Continuous Actions for Multi-object Rearrangement. CoRR Kallol Saha, Amber Li, Angela Rodriguez-Izquierdo, Lifan Yu, Ben Eisner, Maxim Likhachev, David Held
2025	A	`conf`	Real-World Offline Reinforcement Learning from Vision Language Model Feedback. IROS Sreyas Venkataraman, Yufei Wang, Ziyu Wang, Navin Sriram Ravie, Zackory Erickson, David Held
2025	A*	`conf`	SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting. ICRA Mohammad Nomaan Qureshi, Sparsh Garg, Francisco Yandún, David Held, George Kantor, Abhisesh Silwal
2025	J	`jnl`	Unfolding the Literature: A Review of Robotic Cloth Manipulation. Annu. Rev. Control. Robotics Auton. Syst. Alberta Longhini, Yufei Wang, Irene Garcia-Camacho, David Blanco-Mulero, Marco Moletta, Michael C. Welle, Guillem Alenyà, Hang Yin, Zackory Erickson, David Held, Júlia Borràs, Danica Kragic
2024	J	`jnl`	Active velocity estimation using light curtains via self-supervised multi-armed bandits. Auton. Robots Siddharth Ancha, Gaurav Pathak, Ji Zhang, Srinivasa G. Narasimhan, David Held
2024	A*	`conf`	Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks. ICLR Ben Eisner, Yi Yang, Todor Davchev, Mel Vecerík, Jonathan Scholz, David Held
2024	J	`jnl`	Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks. CoRR Ben Eisner, Yi Yang, Todor Davchev, Mel Vecerík, Jonathan Scholz, David Held
2024	J	`jnl`	DiffTOP: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning. CoRR Weikang Wan, Yufei Wang, Zackory Erickson, David Held
2024	A*	`conf`	DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning. NeurIPS Weikang Wan, Ziyu Wang, Yufei Wang, Zackory Erickson, David Held
2024	Misc	`conf`	FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation. CoRL Yishu Li, Wen Hui Leng, Yiming Fang, Ben Eisner, David Held
2024	J	`jnl`	FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation. CoRR Yishu Li, Wen Hui Leng, Yiming Fang, Ben Eisner, David Held
2024	J	`jnl`	Force-Constrained Visual Policy: Safe Robot-Assisted Dressing via Multi-Modal Sensing. IEEE Robotics Autom. Lett. Zhanyi Sun, Yufei Wang, David Held, Zackory Erickson
2024	—	`conf`	HACMan++: Spatially-Grounded Motion Primitives for Manipulation. Robotics: Science and Systems Bowen Jiang, Yilin Wu, Wenxuan Zhou, Chris Paxton, David Held
2024	J	`jnl`	HACMan++: Spatially-Grounded Motion Primitives for Manipulation. CoRR Bowen Jiang, Yilin Wu, Wenxuan Zhou, Chris Paxton, David Held
2024	A*	`conf`	Learning Distributional Demonstration Spaces for Task-Specific Cross-Pose Estimation. ICRA Jenny Wang, Octavian Donca, David Held
2024	J	`jnl`	Learning Distributional Demonstration Spaces for Task-Specific Cross-Pose Estimation. CoRR Jenny Wang, Octavian Donca, David Held
2024	A	`conf`	Learning Generalizable Tool-use Skills through Trajectory Generation. IROS Carl Qi, Yilin Wu, Lifan Yu, Haoyue Liu, Bowen Jiang, Xingyu Lin, David Held
2024	Misc	`conf`	Modeling Drivers' Situational Awareness from Eye Gaze for Driving Assistance. CoRL Abhijat Biswas, Pranay Gupta, Shreeya Khurana, David Held, Henny Admoni
2024	Misc	`conf`	Non-rigid Relative Placement through 3D Dense Diffusion. CoRL Eric Cai, Octavian Donca, Ben Eisner, David Held
2024	J	`jnl`	Non-rigid Relative Placement through 3D Dense Diffusion. CoRR Eric Cai, Octavian Donca, Ben Eisner, David Held
2024	J	`jnl`	Object Importance Estimation Using Counterfactual Reasoning for Intelligent Driving. IEEE Robotics Autom. Lett. Pranay Gupta, Abhijat Biswas, Henny Admoni, David Held
2024	J	`jnl`	On Time-Indexing as Inductive Bias in Deep RL for Sequential Manipulation Tasks. CoRR Mohammad Nomaan Qureshi, Ben Eisner, David Held
2024	A*	`conf`	RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback. ICML Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson
2024	J	`jnl`	RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback. CoRR Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson
2024	J	`jnl`	Real-World Offline Reinforcement Learning from Vision Language Model Feedback. CoRR Sreyas Venkataraman, Yufei Wang, Ziyu Wang, Zackory Erickson, David Held
2024	A*	`conf`	Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization. ICRA Fan Yang, Wenxuan Zhou, Zuxin Liu, Ding Zhao, David Held
2024	A*	`conf`	RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation. ICML Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Katerina Fragkiadaki, Zackory Erickson, David Held, Chuang Gan
2024	J	`jnl`	SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting. CoRR Mohammad Nomaan Qureshi, Sparsh Garg, Francisco Yandún, David Held, George Kantor, Abhisesh Silwal
2024	J	`jnl`	Unfolding the Literature: A Review of Robotic Cloth Manipulation. CoRR Alberta Longhini, Yufei Wang, Irene Garcia-Camacho, David Blanco-Mulero, Marco Moletta, Michael C. Welle, Guillem Alenyà, Hang Yin, Zackory Erickson, David Held, Júlia Borràs, Danica Kragic
2024	Misc	`conf`	Visual Manipulation with Legs. CoRL Xialin He, Chengjing Yuan, Wenxuan Zhou, Ruihan Yang, David Held, Xiaolong Wang
2024	J	`jnl`	Visual Manipulation with Legs. CoRR Xialin He, Chengjing Yuan, Wenxuan Zhou, Ruihan Yang, David Held, Xiaolong Wang
2023	—	`conf`	Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits. Robotics: Science and Systems Siddharth Ancha, Gaurav Pathak, Ji Zhang, Srinivasa G. Narasimhan, David Held
2023	J	`jnl`	Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits. CoRR Siddharth Ancha, Gaurav Pathak, Ji Zhang, Srinivasa G. Narasimhan, David Held
2023	A*	`conf`	AutoBag: Learning to Open Plastic Bags and Insert Objects. ICRA Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
2023	A	`conf`	Bagging by Learning to Singulate Layers Using Interactive Perception. IROS Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
2023	J	`jnl`	Bagging by Learning to Singulate Layers Using Interactive Perception. CoRR Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
2023	A*	`conf`	EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics. ICRA Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, David Held, Zackory Erickson, Danica Kragic
2023	A*	`conf`	Elastic Context: Encoding Elasticity for Data-driven Models of Textiles Elastic Context: Encoding Elasticity for Data-driven Models of Textiles. ICRA Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, Alexander Kravberg, Yufei Wang, David Held, Zackory Erickson, Danica Kragic
2023	Misc	`conf`	FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection. CoRL Harry Zhang, Ben Eisner, David Held
2023	J	`jnl`	FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection. CoRR Harry Zhang, Ben Eisner, David Held
2023	J	`jnl`	Force-Constrained Visual Policy: Safe Robot-Assisted Dressing via Multi-Modal Sensing. CoRR Zhanyi Sun, Yufei Wang, David Held, Zackory Erickson
2023	Misc	`conf`	HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. CoRL Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held
2023	J	`jnl`	Learning Generalizable Tool-use Skills through Trajectory Generation. CoRR Carl Qi, Sarthak J. Shetty, Xingyu Lin, David Held
2023	J	`jnl`	Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation. CoRR Wenxuan Zhou, Bowen Jiang, Fan Yang, Chris Paxton, David Held
2023	A*	`conf`	Neural Grasp Distance Fields for Robot Manipulation. ICRA Thomas Weng, David Held, Franziska Meier, Mustafa Mukadam
2023	J	`jnl`	Object Importance Estimation using Counterfactual Reasoning for Intelligent Driving. CoRR Pranay Gupta, Abhijat Biswas, Henny Admoni, David Held
2023	—	`conf`	One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments. Robotics: Science and Systems Yufei Wang, Zhanyi Sun, Zackory Erickson, David Held
2023	J	`jnl`	One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments. CoRR Yufei Wang, Zhanyi Sun, Zackory Erickson, David Held
2023	A*	`conf`	Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting. CVPR Tarasha Khurana, Peiyun Hu, David Held, Deva Ramanan
2023	J	`jnl`	Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting. CoRR Tarasha Khurana, Peiyun Hu, David Held, Deva Ramanan
2023	J	`jnl`	Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization. CoRR Fan Yang, Wenxuan Zhou, Zuxin Liu, Ding Zhao, David Held
2023	J	`jnl`	RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation. CoRR Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Zackory Erickson, David Held, Chuang Gan
2023	A*	`conf`	Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking. ICRA Zixuan Huang, Xingyu Lin, David Held
2023	J	`jnl`	Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking. CoRR Zixuan Huang, Xingyu Lin, David Held
2022	J	`jnl`	AutoBag: Learning to Open Plastic Bags and Insert Objects. CoRR Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
2022	Misc	`conf`	Deep Projective Rotation Estimation through Relative Supervision. CoRL Brian Okorn, Chuer Pan, Martial Hebert, David Held
2022	J	`jnl`	Deep Projective Rotation Estimation through Relative Supervision. CoRR Brian Okorn, Chuer Pan, Martial Hebert, David Held
2022	A*	`conf`	DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. ICLR Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan
2022	J	`jnl`	DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. CoRR Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan
2022	—	`conf`	Differentiable Raycasting for Self-Supervised Occupancy Forecasting. ECCV (38) Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan
2022	J	`jnl`	Differentiable Raycasting for Self-supervised Occupancy Forecasting. CoRR Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan
2022	J	`jnl`	EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics. CoRR Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, David Held, Zackory Erickson, Danica Kragic
2022	J	`jnl`	Elastic Context: Encoding Elasticity for Data-driven Models of Textiles. CoRR Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, Alexander Kravberg, Yufei Wang, David Held, Zackory Erickson, Danica Kragic
2022	—	`conf`	FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects. Robotics: Science and Systems Ben Eisner, Harry Zhang, David Held
2022	J	`jnl`	FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects. CoRR Ben Eisner, Harry Zhang, David Held
2022	J	`jnl`	Learning Closed-Loop Dough Manipulation Using a Differentiable Reset Module. IEEE Robotics Autom. Lett. Carl Qi, Xingyu Lin, David Held
2022	J	`jnl`	Learning Closed-loop Dough Manipulation Using a Differentiable Reset Module. CoRR Carl Qi, Xingyu Lin, David Held
2022	Misc	`conf`	Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity. CoRL Wenxuan Zhou, David Held
2022	J	`jnl`	Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity. CoRR Wenxuan Zhou, David Held
2022	A	`conf`	Learning to Singulate Layers of Cloth using Tactile Feedback. IROS Sashank Tirumala, Thomas Weng, Daniel Seita, Oliver Kroemer, Fatma Zeynep Temel, David Held
2022	J	`jnl`	Learning to Singulate Layers of Cloth using Tactile Feedback. CoRR Sashank Tirumala, Thomas Weng, Daniel Seita, Oliver Kroemer, Fatma Zeynep Temel, David Held
2022	—	`conf`	Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation. Robotics: Science and Systems Zixuan Huang, Xingyu Lin, David Held
2022	J	`jnl`	Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation. CoRR Zixuan Huang, Xingyu Lin, David Held
2022	J	`jnl`	Neural Grasp Distance Fields for Robot Manipulation. CoRR Thomas Weng, David Held, Franziska Meier, Mustafa Mukadam
2022	J	`jnl`	OSSID: Online Self-Supervised Instance Detection by (And For) Pose Estimation. IEEE Robotics Autom. Lett. Qiao Gu, Brian Okorn, David Held
2022	J	`jnl`	OSSID: Online Self-Supervised Instance Detection by (and for) Pose Estimation. CoRR Qiao Gu, Brian Okorn, David Held
2022	Misc	`conf`	Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRL Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held
2022	J	`jnl`	Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRR Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held
2022	J	`jnl`	RB2: Robotic Manipulation Benchmarking with a Twist. CoRR Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta
2022	A*	`conf`	Self-supervised Transparent Liquid Segmentation for Robotic Pouring. ICRA Gautham Narayan Narasimhan, Kai Zhang, Ben Eisner, Xingyu Lin, David Held
2022	J	`jnl`	Self-supervised Transparent Liquid Segmentation for Robotic Pouring. CoRR Gautham Narayan Narasimhan, Kai Zhang, Ben Eisner, Xingyu Lin, David Held
2022	J	`jnl`	Semi-supervised 3D Object Detection via Temporal Graph Neural Networks. CoRR Jianren Wang, Haiming Gang, Siddarth Ancha, Yi-Ting Chen, David Held
2022	Misc	`conf`	TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation. CoRL Chuer Pan, Brian Okorn, Harry Zhang, Ben Eisner, David Held
2022	J	`jnl`	TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation. CoRR Chuer Pan, Brian Okorn, Harry Zhang, Ben Eisner, David Held
2022	Misc	`conf`	ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds. CoRL Daniel Seita, Yufei Wang, Sarthak J. Shetty, Edward Yao Li, Zackory Erickson, David Held
2022	J	`jnl`	ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds. CoRR Daniel Seita, Yufei Wang, Sarthak J. Shetty, Edward Yao Li, Zackory Erickson, David Held
2022	J	`jnl`	Visual Haptic Reasoning: Estimating Contact Forces by Observing Deformable Object Interactions. CoRR Yufei Wang, David Held, Zackory Erickson
2022	J	`jnl`	Visual Haptic Reasoning: Estimating Contact Forces by Observing Deformable Object Interactions. IEEE Robotics Autom. Lett. Yufei Wang, David Held, Zackory Erickson
2021	—	`conf`	Active Safety Envelopes using Light Curtains with Probabilistic Guarantees. Robotics: Science and Systems Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan, David Held
2021	J	`jnl`	Active Safety Envelopes using Light Curtains with Probabilistic Guarantees. CoRR Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan, David Held
2021	A*	`conf`	Exploiting & Refining Depth Distributions With Triangulation Light Curtains. CVPR Yaadhav Raaj, Siddharth Ancha, Robert Tamburo, David Held, Srinivasa G. Narasimhan
2021	Misc	`conf`	FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy. CoRL Thomas Weng, Sujay Man Bajracharya, Yufei Wang, Khush Agrawal, David Held
2021	J	`jnl`	FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy. CoRR Thomas Weng, Sujay Bajracharya, Yufei Wang, Khush Agrawal, David Held
2021	Misc	`conf`	Learning Off-Policy with Online Planning. CoRL Harshit Sikchi, Wenxuan Zhou, David Held
2021	Misc	`conf`	Learning Visible Connectivity Dynamics for Cloth Smoothing. CoRL Xingyu Lin, Yufei Wang, Zixuan Huang, David Held
2021	J	`jnl`	Learning Visible Connectivity Dynamics for Cloth Smoothing. CoRR Xingyu Lin, Yufei Wang, David Held
2021	J	`jnl`	Lyapunov Barrier Policy Optimization. CoRR Harshit Sikchi, Wenxuan Zhou, David Held
2021	—	`conf`	RB2: Robotic Manipulation Benchmarking with a Twist. NeurIPS Datasets and Benchmarks Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta
2021	A*	`conf`	Safe Local Motion Planning With Self-Supervised Freespace Forecasting. CVPR Peiyun Hu, Aaron Huang, John M. Dolan, David Held, Deva Ramanan
2021	A	`conf`	Self-Supervised Point Cloud Completion via Inpainting. BMVC Himangi Mittal, Brian Okorn, Arpit Jangid, David Held
2021	J	`jnl`	Self-Supervised Point Cloud Completion via Inpainting. CoRR Himangi Mittal, Brian Okorn, Arpit Jangid, David Held
2021	—	`conf`	Semi-supervised 3D Object Detection via Temporal Graph Neural Networks. 3DV Jianren Wang, Haiming Gang, Siddarth Ancha, Yi-Ting Chen, David Held
2021	A*	`conf`	ZePHyR: Zero-shot Pose Hypothesis Rating. ICRA Brian Okorn, Qiao Gu, Martial Hebert, David Held
2021	J	`jnl`	ZePHyR: Zero-shot Pose Hypothesis Rating. CoRR Brian Okorn, Qiao Gu, Martial Hebert, David Held
2020	A	`conf`	3D Multi-Object Tracking: A Baseline and New Evaluation Metrics. IROS Xinshuo Weng, Jianren Wang, David Held, Kris Kitani
2020	J	`jnl`	AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics. CoRR Xinshuo Weng, Jianren Wang, David Held, Kris Kitani
2020	—	`conf`	Active Perception Using Light Curtains for Autonomous Driving. ECCV (5) Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held
2020	J	`jnl`	Active Perception using Light Curtains for Autonomous Driving. CoRR Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held
2020	A	`conf`	Cloth Region Segmentation for Robust Grasp Selection. IROS Jianing Qian, Thomas Weng, Luxin Zhang, Brian Okorn, David Held
2020	J	`jnl`	Cloth Region Segmentation for Robust Grasp Selection. CoRR Jianing Qian, Thomas Weng, Luxin Zhang, Brian Okorn, David Held
2020	A*	`conf`	Just Go With the Flow: Self-Supervised Scene Flow Estimation. CVPR Himangi Mittal, Brian Okorn, David Held
2020	J	`jnl`	Learning Off-Policy with Online Planning. CoRR Harshit Sikchi, Wenxuan Zhou, David Held
2020	A	`conf`	Learning Orientation Distributions for Object Pose Estimation. IROS Brian Okorn, Mengyun Xu, Martial Hebert, David Held
2020	J	`jnl`	Learning Orientation Distributions for Object Pose Estimation. CoRR Brian Okorn, Mengyun Xu, Martial Hebert, David Held
2020	J	`jnl`	Learning to Optimally Segment Point Clouds. IEEE Robotics Autom. Lett. Peiyun Hu, David Held, Deva Ramanan
2020	J	`jnl`	Multi-Modal Transfer Learning for Grasping Transparent and Specular Objects. IEEE Robotics Autom. Lett. Thomas Weng, Amith Pallankize, Yimin Tang, Oliver Kroemer, David Held
2020	J	`jnl`	Multi-modal Transfer Learning for Grasping Transparent and Specular Objects. CoRR Thomas Weng, Amith Pallankize, Yimin Tang, Oliver Kroemer, David Held
2020	Misc	`conf`	PLAS: Latent Action Space for Offline Reinforcement Learning. CoRL Wenxuan Zhou, Sujay Bajracharya, David Held
2020	J	`jnl`	PLAS: Latent Action Space for Offline Reinforcement Learning. CoRR Wenxuan Zhou, Sujay Bajracharya, David Held
2020	—	`conf`	PanoNet3D: Combining Semantic and Geometric Understanding for LiDAR Point Cloud Detection. 3DV Xia Chen, Jianren Wang, David Held, Martial Hebert
2020	J	`jnl`	PanoNet3D: Combining Semantic and Geometric Understanding for LiDARPoint Cloud Detection. CoRR Xia Chen, Jianren Wang, David Held, Martial Hebert
2020	Misc	`conf`	ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning. CoRL Yufei Wang, Gautham Narayan Narasimhan, Xingyu Lin, Brian Okorn, David Held
2020	J	`jnl`	ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning. CoRR Yufei Wang, Gautham Narayan Narasimhan, Xingyu Lin, Brian Okorn, David Held
2020	J	`jnl`	Robust Instance Tracking via Uncertainty Flow. CoRR Jianing Qian, Junyu Nan, Siddharth Ancha, Brian Okorn, David Held
2020	Misc	`conf`	SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation. CoRL Xingyu Lin, Yufei Wang, Jake Olkin, David Held
2020	J	`jnl`	SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation. CoRR Xingyu Lin, Yufei Wang, Jake Olkin, David Held
2020	A	`conf`	Uncertainty-aware Self-supervised 3D Data Association. IROS Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held
2020	J	`jnl`	Uncertainty-aware Self-supervised 3D Data Association. CoRR Jianren Wang, Siddharth Ancha, Yi-Ting Chen, David Held
2020	A*	`conf`	What You See is What You Get: Exploiting Visibility for 3D Object Detection. CVPR Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan
2019	A*	`conf`	Adaptive Auxiliary Task Weighting for Reinforcement Learning. NeurIPS Xingyu Lin, Harjatin Singh Baweja, George Kantor, David Held
2019	A*	`conf`	Adaptive Variance for Changing Sparse-Reward Environments. ICRA Xingyu Lin, Pengsheng Guo, Carlos Florensa, David Held
2019	J	`jnl`	Adaptive Variance for Changing Sparse-Reward Environments. CoRR Xingyu Lin, Pengsheng Guo, Carlos Florensa, David Held
2019	Misc	`conf`	Combining Deep Learning and Verification for Precise Object Instance Detection. CoRL Siddharth Ancha, Junyu Nan, David Held
2019	J	`jnl`	Combining Deep Learning and Verification for Precise Object Instance Detection. CoRR Siddharth Ancha, Junyu Nan, David Held
2019	J	`jnl`	Enabling robots to communicate their objectives. Auton. Robots Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan
2019	J	`jnl`	Few-Shot Point Cloud Region Annotation with Human in the Loop. CoRR Siddhant Jain, Sowmya Munukutla, David Held
2019	J	`jnl`	FusionMapping: Learning Depth Prediction with Monocular Images and 2D Laser Scans. CoRR Peng Yin, Jianing Qian, Yibo Cao, David Held, Howie Choset
2019	J	`jnl`	Just Go with the Flow: Self-Supervised Scene Flow Estimation. CoRR Himangi Mittal, Brian Okorn, David Held
2019	J	`jnl`	Learning to Optimally Segment Point Clouds. CoRR Peiyun Hu, David Held, Deva Ramanan
2019	J	`jnl`	Reinforcement Learning without Ground-Truth State. CoRR Xingyu Lin, Harjatin Singh Baweja, David Held
2019	J	`jnl`	What You See is What You Get: Exploiting Visibility for 3D Object Detection. CoRR Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan
2018	A*	`conf`	Automatic Goal Generation for Reinforcement Learning Agents. ICML Carlos Florensa, David Held, Xinyang Geng, Pieter Abbeel
2018	J	`jnl`	Iterative Transformer Network for 3D Point Cloud. CoRR Wentao Yuan, David Held, Christoph Mertz, Martial Hebert
2018	—	`conf`	PCN: Point Completion Network. 3DV Wentao Yuan, Tejas Khot, David Held, Christoph Mertz, Martial Hebert
2018	J	`jnl`	PCN: Point Completion Network. CoRR Wentao Yuan, Tejas Khot, David Held, Christoph Mertz, Martial Hebert
2017	J	`jnl`	Automatic Goal Generation for Reinforcement Learning Agents. CoRR David Held, Xinyang Geng, Carlos Florensa, Pieter Abbeel
2017	A*	`conf`	Constrained Policy Optimization. ICML Joshua Achiam, David Held, Aviv Tamar, Pieter Abbeel
2017	J	`jnl`	Constrained Policy Optimization. CoRR Joshua Achiam, David Held, Aviv Tamar, Pieter Abbeel
2017	—	`conf`	Enabling Robots to Communicate Their Objectives. Robotics: Science and Systems Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan
2017	J	`jnl`	Enabling Robots to Communicate their Objectives. CoRR Sandy H. Huang, David Held, Pieter Abbeel, Anca D. Dragan
2017	A	`conf`	Policy transfer via modularity and reward guiding. IROS Ignasi Clavera, David Held, Pieter Abbeel
2017	J	`jnl`	Probabilistically Safe Policy Transfer. CoRR David Held, Zoe McCarthy, Michael Zhang, Fred Shentu, Pieter Abbeel
2017	A*	`conf`	Probabilistically safe policy transfer. ICRA David Held, Zoe McCarthy, Michael Zhang, Fred Shentu, Pieter Abbeel
2017	Misc	`conf`	Reverse Curriculum Generation for Reinforcement Learning. CoRL Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel
2017	J	`jnl`	Reverse Curriculum Generation for Reinforcement Learning. CoRR Carlos Florensa, David Held, Markus Wulfmeier, Pieter Abbeel
2016	—	`conf`	A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues. Robotics: Science and Systems David Held, Devin Guillory, Brice Rebsamen, Sebastian Thrun, Silvio Savarese
2016	—	`conf`	Learning to Track at 100 FPS with Deep Regression Networks. ECCV (1) David Held, Sebastian Thrun, Silvio Savarese
2016	J	`jnl`	Learning to Track at 100 FPS with Deep Regression Networks. CoRR David Held, Sebastian Thrun, Silvio Savarese
2016	J	`jnl`	Robust real-time tracking combining 3D shape, color, and motion. Int. J. Robotics Res. David Held, Jesse Levinson, Sebastian Thrun, Silvio Savarese
2016	A*	`conf`	Robust single-view instance recognition. ICRA David Held, Sebastian Thrun, Silvio Savarese
2015	J	`jnl`	Deep Learning for Single-View Instance Recognition. CoRR David Held, Sebastian Thrun, Silvio Savarese
2014	—	`conf`	Combining 3D Shape, Color, and Motion for Robust Anytime Tracking. Robotics: Science and Systems David Held, Jesse Levinson, Sebastian Thrun, Silvio Savarese
2013	A*	`conf`	Precision tracking with sparse 3D and dense color 2D data. ICRA David Held, Jesse Levinson, Sebastian Thrun
2012	A*	`conf`	A probabilistic framework for car detection in images using context and scale. ICRA David Held, Jesse Levinson, Sebastian Thrun
2012	A*	`conf`	Characterizing the stiffness of a multi-segment flexible arm during motion. ICRA David Held, Yoram Yekutieli, Tamar Flash
2011	B	`conf`	Towards fully autonomous driving: Systems and algorithms. Intelligent Vehicles Symposium Jesse Levinson, Jake Askeland, Jan Becker, Jennifer Dolson, David Held, Sören Kammel, J. Zico Kolter, Dirk Langer, Oliver Pink, Vaughan R. Pratt, Michael Sokolsky, Ganymed Stanek, David Michael Stavens, Alex Teichman, Moritz Werling, Sebastian Thrun
2004	C	`conf`	MVWT-II: the second generation Caltech Multi-Vehicle Wireless Testbed. ACC Zhipu Jin, Stephan Waydo, Elisabeth B. Wildanger, Michael Lammers, Hans Scholze, Peter Foley, David Held, Richard M. Murray