Zhan, Wei

33 publications

CVPR 2025 CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians Chongjian Ge, Chenfeng Xu, Yuanfeng Ji, Chensheng Peng, Masayoshi Tomizuka, Ping Luo, Mingyu Ding, Varun Jampani, Wei Zhan

CVPR 2025 DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes Chensheng Peng, Chengwei Zhang, Yixiao Wang, Chenfeng Xu, Yichen Xie, Wenzhao Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan

CVPR 2025 DexHandDiff: Interaction-Aware Diffusion Planning for Adaptive Dexterous Manipulation Zhixuan Liang, Yao Mu, Yixiao Wang, Tianxing Chen, Wenqi Shao, Wei Zhan, Masayoshi Tomizuka, Ping Luo, Mingyu Ding

NeurIPS 2025 DrivingRecon: Large 4D Gaussian Reconstruction Model for Autonomous Driving Hao Lu, Tianshuo Xu, Wenzhao Zheng, Yunpeng Zhang, Wei Zhan, Dalong Du, Masayoshi Tomizuka, Kurt Keutzer, Ying-Cong Chen

ICCV 2025 LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation Wei-Jer Chang, Wei Zhan, Masayoshi Tomizuka, Manmohan Chandraker, Francesco Pittaluga

CoRL 2025 MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention Yuxin Chen, Chen Tang, Jianglan Wei, Chenran Li, Thomas Tian, Xiang Zhang, Wei Zhan, Peter Stone, Masayoshi Tomizuka

ICLR 2025 Residual-MPPI: Online Policy Customization for Continuous Control Pengcheng Wang, Chenran Li, Catherine Weaver, Kenta Kawamoto, Masayoshi Tomizuka, Chen Tang, Wei Zhan

ICML 2025 WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving Yiheng Li, Cunxin Fan, Chongjian Ge, Seth Z. Zhao, Chenran Li, Chenfeng Xu, Huaxiu Yao, Masayoshi Tomizuka, Bolei Zhou, Chen Tang, Mingyu Ding, Wei Zhan

ICLR 2025 X-Drive: Cross-Modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios Yichen Xie, Chenfeng Xu, Chensheng Peng, Shuqi Zhao, Nhat Ho, Alexander T. Pham, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan

ECCV 2024 Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan

CoRL 2024 Q-SLAM: Quadric Representations for Monocular SLAM Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan

ECCV 2024 Safe-Sim: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, Manmohan Chandraker

CoRL 2024 Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning Yixiao Wang, Yifei Zhang, Mingxiao Huo, Thomas Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka

AISTATS 2024 Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach Juanwu Lu, Wei Zhan, Masayoshi Tomizuka, Yeping Hu

ICLR 2024 UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-Modal Modeling Haoyu Lu, Yuqi Huo, Guoxing Yang, Zhiwu Lu, Wei Zhan, Masayoshi Tomizuka, Mingyu Ding

CVPR 2023 Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm Yichen Xie, Han Lu, Junchi Yan, Xiaokang Yang, Masayoshi Tomizuka, Wei Zhan

ICCV 2023 DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds Chensheng Peng, Guangming Wang, Xian Wan Lo, Xinrui Wu, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang

NeurIPS 2023 Doubly-Robust Self-Training Banghua Zhu, Mingyu Ding, Philip Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao

ICCV 2023 NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection Chenfeng Xu, Bichen Wu, Ji Hou, Sam Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

NeurIPS 2023 Residual Q-Learning: Offline and Online Policy Customization Without Value Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan

ICCV 2023 SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan

ICLR 2023 Time Will Tell: New Outlooks and a Baseline for Temporal Multi-View 3D Object Detection Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris M. Kitani, Masayoshi Tomizuka, Wei Zhan

NeurIPS 2023 Towards Free Data Selection with General-Purpose Models Yichen Xie, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan

ECCV 2022 DetMatch: Two Teachers Are Better than One for Joint 2D and 3D Semi-Supervised Object Detection Jinhyung Park, Chenfeng Xu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan

ECCV 2022 Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

ECCV 2022 PreTraM: Self-Supervised Pre-Training via Connecting Trajectory and mAP Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan

ECCV 2022 What Matters for 3D Scene Flow Network Guangming Wang, Yunzhe Hu, Zhe Liu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang

NeurIPSW 2021 Causal-Based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu, Xiaogang Jia, Masayoshi Tomizuka, Wei Zhan

CoRL 2021 Dealing with the Unknown: Pessimistic Offline Reinforcement Learning Jinning Li, Chen Tang, Masayoshi Tomizuka, Wei Zhan

NeurIPS 2021 Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling Chen Tang, Wei Zhan, Masayoshi Tomizuka

CoRL 2021 Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views Xiaosong Jia, Liting Sun, Hang Zhao, Masayoshi Tomizuka, Wei Zhan

CVPR 2021 Sparse R-CNN: End-to-End Object Detection with Learnable Proposals Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo

ECCV 2020 SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka