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Author

David Held

Observed names: David A. Held, Held David, Held, David, Held, David, Author
Observed institutions: IBM (United States), Durham University, Weizmann Institute of Science, Massachusetts Institute of Technology, Carnegie Mellon University, University of California, Berkeley, Stanford University
ORCID: 0000-0003-0537-1508
Observed ORCID: 0000-0003-0537-1508
OpenAlex ID: A5133597454
Towards fully autonomous driving: Systems and algorithms
2011 · Jesse Levinson, Jake Askeland, et al. · IEEE Intelligent Vehicles Symposium · 1,374
Learning to Track at 100 FPS with Deep Regression Networks
2016 · David Held, Sebastian Thrun, et al. · Lecture notes in computer science · 1,192
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PCN: Point Completion Network
2018 · Wentao Yuan, Tejas Khot, et al. · International Conference on 3D Vision (3DV) · 1,069
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Constrained Policy Optimization
2017 · Achiam, Joshua, Held, David, et al. · arXiv (Cornell University) · 705
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3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
2020 · Xinshuo Weng, Jianren Wang, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 541
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Reverse Curriculum Generation for Reinforcement Learning
2017 · Florensa, Carlos, Held, David, et al. · arXiv (Cornell University) · 277
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Automatic Goal Generation for Reinforcement Learning Agents
2017 · Florensa, Carlos, Held, David, et al. · arXiv (Cornell University) · 193
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Just Go With the Flow: Self-Supervised Scene Flow Estimation
2020 · Himangi Mittal, Brian Okorn, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 147
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SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
2020 · Lin, Xingyu, Wang, Yufei, et al. · arXiv (Cornell University) · 140
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What You See is What You Get: Exploiting Visibility for 3D Object Detection
2020 · Peiyun Hu, Jason Ziglar, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 128
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Automatic Goal Generation for Reinforcement Learning Agents
2018 · Carlos Florensa, David Held, et al. · International Conference on Machine Learning · 127
Enabling robots to communicate their objectives
2018 · Sandy H. Huang, David Held, et al. · Autonomous Robots · 102
Safe Local Motion Planning with Self-Supervised Freespace Forecasting
2021 · Peiyun Hu, Aaron Huang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 83
Combining 3D Shape, Color, and Motion for Robust Anytime Tracking
2014 · David Held, Jesse Levinson, et al. · Robotics: Science and Systems · 64
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Adaptive Auxiliary Task Weighting for Reinforcement Learning
2019 · Xingyu Lin, Harjatin Singh Baweja, et al. · neural information processing systems · 63
Learning Visible Connectivity Dynamics for Cloth Smoothing
2021 · Lin, Xingyu, Wang, Yufei, et al. · arXiv (Cornell University) · 61
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Differentiable Raycasting for Self-Supervised Occupancy Forecasting
2022 · Tarasha Khurana, Peiyun Hu, et al. · Lecture notes in computer science · 60
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Precision tracking with sparse 3D and dense color 2D data
2013 · David Held, Jesse Levinson, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 58
FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects
2022 · Ben Eisner, Harry Zhang, et al. · Robotics: Science and Systems · 56
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PLAS: Latent Action Space for Offline Reinforcement Learning
2020 · Zhou, Wenxuan, Bajracharya, Sujay, et al. · arXiv (Cornell University) · 52
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FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy
2021 · Weng, Thomas, Bajracharya, Sujay, et al. · arXiv (Cornell University) · 48
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Cloth Region Segmentation for Robust Grasp Selection
2020 · Jianing Qian, Thomas Weng, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 45
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AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics
2020 · Weng, Xinshuo, Wang, Jianren, et al. · arXiv (Cornell University) · 44
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A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues
2016 · David Held, Devin Guillory, et al. · Robotics: Science and Systems · 43
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Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting
2023 · Tarasha Khurana, Peiyun Hu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 40
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Works count: 121
Citation count: 7,741
H-index: 33
I10-index: 65
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