David Held
David Held
Assistant Professor in the Robotics Institute, Carnegie Mellon University
Zweryfikowany adres z andrew.cmu.edu - Strona główna
Cytowane przez
Cytowane przez
Towards fully autonomous driving: Systems and algorithms
J Levinson, J Askeland, J Becker, J Dolson, D Held, S Kammel, JZ Kolter, ...
2011 IEEE intelligent vehicles symposium (IV), 163-168, 2011
Learning to track at 100 fps with deep regression networks
D Held, S Thrun, S Savarese
European conference on computer vision, 749-765, 2016
Constrained policy optimization
J Achiam, D Held, A Tamar, P Abbeel
International conference on machine learning, 22-31, 2017
Pcn: Point completion network
W Yuan, T Khot, D Held, C Mertz, M Hebert
2018 International Conference on 3D Vision (3DV), 728-737, 2018
Automatic goal generation for reinforcement learning agents
C Florensa, D Held, X Geng, P Abbeel
International conference on machine learning, 1515-1528, 2018
Reverse curriculum generation for reinforcement learning
C Florensa, D Held, M Wulfmeier, M Zhang, P Abbeel
Conference on robot learning, 482-495, 2017
3d multi-object tracking: A baseline and new evaluation metrics
X Weng, J Wang, D Held, K Kitani
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Combining 3D Shape, Color, and Motion for Robust Anytime Tracking
D Held, J Levinson, S Thrun, S Savarese
Robotics: Science and Systems, 2014
Enabling robots to communicate their objectives
SH Huang, D Held, P Abbeel, AD Dragan
Autonomous Robots 43 (2), 309-326, 2019
Just go with the flow: Self-supervised scene flow estimation
H Mittal, B Okorn, D Held
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
What you see is what you get: Exploiting visibility for 3d object detection
P Hu, J Ziglar, D Held, D Ramanan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Robust single-view instance recognition
D Held, S Thrun, S Savarese
2016 IEEE International Conference on Robotics and Automation (ICRA), 2152-2159, 2016
Softgym: Benchmarking deep reinforcement learning for deformable object manipulation
X Lin, Y Wang, J Olkin, D Held
Conference on Robot Learning, 432-448, 2021
Precision Tracking with Sparse 3D and Dense Color 2D Data
D Held, J Levinson, S Thrun
MVWT-II: The second generation caltech multi-vehicle wireless testbed
Z Jin, S Waydo, EB Wildanger, M Lammers, H Scholze, P Foley, D Held, ...
Proceedings of the 2004 American control conference 6, 5321-5326, 2004
Adaptive auxiliary task weighting for reinforcement learning
X Lin, H Baweja, G Kantor, D Held
Advances in neural information processing systems 32, 2019
Plas: Latent action space for offline reinforcement learning
W Zhou, S Bajracharya, D Held
Conference on Robot Learning, 1719-1735, 2021
Robust real-time tracking combining 3D shape, color, and motion
D Held, J Levinson, S Thrun, S Savarese
The International Journal of Robotics Research 35 (1-3), 30-49, 2016
Iterative transformer network for 3d point cloud
W Yuan, D Held, C Mertz, M Hebert
arXiv preprint arXiv:1811.11209, 2018
A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues.
D Held, D Guillory, B Rebsamen, S Thrun, S Savarese
Robotics: Science and Systems 12, 2016
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