Chen, Dian

18 publications

CVPR 2025 Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus

NeurIPS 2024 $SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini

ECCV 2024 Learning to Drive via Asymmetric Self-Play Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun

CVPR 2024 Pix2gestalt: Amodal Segmentation by Synthesizing Wholes Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick

ICCV 2023 MotionLM: Multi-Agent Motion Forecasting as Language Modeling Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp

CVPR 2023 Standing Between past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang

ICCV 2023 Towards Zero-Shot Scale-Aware Monocular Depth Estimation Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rareș Ambruș, Adrien Gaidon

CVPR 2023 Viewpoint Equivariance for Multi-View 3D Object Detection Dian Chen, Jie Li, Vitor Guizilini, Rares Andrei Ambrus, Adrien Gaidon

CVPR 2022 Contrastive Test-Time Adaptation Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi

CVPR 2022 Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu

CVPR 2022 Learning from All Vehicles Dian Chen, Philipp Krähenbühl

CVPR 2022 Multi-Frame Self-Supervised Depth with Transformers Vitor Guizilini, Rareș Ambruș, Dian Chen, Sergey Zakharov, Adrien Gaidon

ICML 2021 CARTL: Cooperative Adversarially-Robust Transfer Learning Dian Chen, Hongxin Hu, Qian Wang, Li Yinli, Cong Wang, Chao Shen, Qi Li

ICCV 2021 Learning to Drive from a World on Rails Dian Chen, Vladlen Koltun, Philipp Krähenbühl

CoRL 2019 Learning by Cheating Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl

CVPRW 2018 Learning Instance Segmentation by Interaction Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik

ICLR 2018 Zero-Shot Visual Imitation Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell

CVPRW 2018 Zero-Shot Visual Imitation Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell