Sotabase

Career

· Assistant Professional Researcher, University of California, Berkeley2021–
· Chief Scientist, Applied Intuition
· Co-Director, BAIR Center for Humanoid Intelligence
· Co-Director, Berkeley DeepDrive
· PhD Student, University of California, Berkeley

Publications (273)

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Computer Vision and Pattern Recognition · 2020
1,365
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
arXiv.org · 2019
549
cited
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
European Conference on Computer Vision · 2020
412
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
arXiv.org · 2023
222
cited
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
International Conference on Learning Representations · 2022
211
cited
Autonomous Driving Motion Planning With Constrained Iterative LQR
IEEE Transactions on Intelligent Vehicles · 2019
184
cited
Breast lesions: evaluation with shear wave elastography, with special emphasis on the "stiff rim" sign.
Radiology · 2014
165
cited
Probabilistic Prediction of Vehicle Semantic Intention and Motion
2018 IEEE Intelligent Vehicles Symposium (IV) · 2018
150
cited
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes
IEEE International Conference on Robotics and Automation · 2019
143
cited
Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning
International Conference on Intelligent Transportation Systems · 2018
125
cited
AutoScale: Learning to Scale for Crowd Counting
International Journal of Computer Vision · 2019
124
cited
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning With Application to Autonomous Driving
IEEE Robotics and Automation Letters · 2020
119
cited
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection
IEEE International Conference on Computer Vision · 2023
114
cited
Constrained iterative LQR for on-road autonomous driving motion planning
2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) · 2017
91
cited
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
Volume 3: Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Mode · 2017
88
cited
A non-conservatively defensive strategy for urban autonomous driving
2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) · 2016
88
cited
Sparse R-CNN: An End-to-End Framework for Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023
87
cited
Courteous Autonomous Cars
IEEE/RJS International Conference on Intelligent RObots and Systems · 2018
84
cited
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Wei Zhan | Researcher Profile | Sotabase | Sotabase