Wei Zhan
Wei Zhan
Co-Director, Berkeley DeepDrive; Assistant Professional Researcher, UC Berkeley
Verified email at - Homepage
Cited by
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Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
P Sun, R Zhang, Y Jiang, T Kong, C Xu, W Zhan, M Tomizuka, L Li, ...
Computer Vision and Pattern Recognition (CVPR), 2021
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
W Zhan, L Sun, D Wang, H Shi, A Clausse, M Naumann, J Kummerle, ..., 2019
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
C Xu, B Wu, Z Wang, W Zhan, P Vajda, K Keutzer, M Tomizuka
2020 European Conference on Computer Vision (ECCV), 2020
Probabilistic prediction of vehicle semantic intention and motion
Y Hu, W Zhan, M Tomizuka
2018 IEEE Intelligent Vehicles Symposium (IV), 307-313, 2018
Autonomous Driving Motion Planning with Constrained Iterative LQR
J Chen, W Zhan, M Tomizuka
IEEE Transactions on Intelligent Vehicles, 2019
Probabilistic prediction of interactive driving behavior via hierarchical inverse reinforcement learning
L Sun, W Zhan, M Tomizuka
2018 21st International Conference on Intelligent Transportation Systems …, 2018
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
J Park, C Xu, S Yang, K Keutzer, K Kitani, M Tomizuka, W Zhan
International Conference on Learning Representations (ICLR), 2023
A non-conservatively defensive strategy for urban autonomous driving
W Zhan, C Liu, CY Chan, M Tomizuka
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
Fusing Bird’s Eye View LIDAR Point Cloud and Front View Camera Image for 3D Object Detection
Z Wang, W Zhan, M Tomizuka
2018 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2018
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes
W Wen, Y Zhou, G Zhang, S Fahandezh-Saadi, X Bai, W Zhan, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 2019
Open X-Embodiment: Robotic learning datasets and RT-X models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
A fast integrated planning and control framework for autonomous driving via imitation learning
L Sun, C Peng, W Zhan, M Tomizuka
ASME 2018 Dynamic Systems and Control Conference, V003T37A012-V003T37A012, 2018
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving
Z Wu, L Sun, W Zhan, C Yang, M Tomizuka
IEEE Robotics and Automation Letters, 2020
AutoScale: Learning to Scale for Crowd Counting and Localization
C Xu, D Liang, Y Xu, S Bai, W Zhan, X Bai, M Tomizuka
International Journal of Computer Vision (IJCV), 2022
Constrained iterative lqr for on-road autonomous driving motion planning
J Chen, W Zhan, M Tomizuka
2017 IEEE 20th International Conference on intelligent Transportation …, 2017
Image2point: 3d point-cloud understanding with 2d image pretrained models
C Xu, S Yang, T Galanti, B Wu, X Yue, B Zhai, W Zhan, P Vajda, K Keutzer, ...
European Conference on Computer Vision, 638-656, 2022
Courteous autonomous cars
L Sun, W Zhan, M Tomizuka, AD Dragan
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Speed profile planning in dynamic environments via temporal optimization
C Liu, W Zhan, M Tomizuka
2017 IEEE Intelligent Vehicles Symposium (IV), 154-159, 2017
Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving
W Zhan, J Chen, CY Chan, C Liu, M Tomizuka
2017 IEEE Intelligent Vehicles Symposium (IV), 632-639, 2017
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
H Sha, Y Mu, Y Jiang, L Chen, C Xu, P Luo, SE Li, M Tomizuka, W Zhan, ...
arXiv preprint arXiv:2310.03026, 2023
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