Dian Chen - RankMe

25 papers A* 11Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A careful examination of large behavior models for multitask dexterous manipulation. Sci. Robotics Jose A. Barreiros, Andrew Beaulieu, Aditya Bhat, Rick Cory, Eric Cousineau, Hongkai Dai, Ching-Hsin Fang, Kunimatsu Hashimoto, Muhammad Zubair Irshad, Masha Itkina, Naveen Kuppuswamy, Kuan-Hui Lee, Katherine Liu, Dale McConachie, Ian McMahon, Haruki Nishimura, Calder Phillips-Grafflin, Charles Richter, Paarth Shah, Krishnan Srinivasan, Blake Wulfe, Chen Xu, Mengchao Zhang, Alex Alspach, Maya Angeles, Kushal Arora, Vitor Campagnolo Guizilini, Alejandro M. Castro, Dian Chen, Ting-Sheng Chu, Sam Creasey, Sean Curtis, Richard Denitto, Emma Dixon, Eric Dusel, Matthew Ferreira, Aimee Goncalves, Grant Gould, Damrong Guoy, Swati Gupta, Xuchen Han, Kyle Hatch, Brendan Hathaway, Allison Henry, Hillel Hochsztein, Phoebe Horgan, Shun Iwase, Donovon Jackson, Siddharth Karamcheti, Sedrick Keh, Joseph Masterjohn, Masayuki Masuda, Jean Mercat, Patrick Tree Miller, Paul Mitiguy, Tony Nguyen, Jeremy Nimmer, Yuki Noguchi, Reko Ong, Aykut Özgün Önol, Owen Pfannenstiehl, Richard Poyner, Leticia Priebe Rocha, Gordon Richardson, Christopher Rodriguez, Derick Seale, Michael A. Sherman, Mariah Smith-Jones, David Tago, Pavel Tokmakov, Matthew Tran, Basile Van Hoorick, Igor Vasiljevic, Sergey Zakharov, Mark Zolotas, Rares Ambrus, Kerri Fetzer-Borelli, Benjamin Burchfiel, Hadas Kress-Gazit, Siyuan Feng, Stacie Ford, Russ Tedrake
2026	J	`jnl`	AnyView: Synthesizing Any Novel View in Dynamic Scenes. CoRR Basile Van Hoorick, Dian Chen, Shun Iwase, Pavel Tokmakov, Muhammad Zubair Irshad, Igor Vasiljevic, Swati Gupta, Fangzhou Cheng, Sergey Zakharov, Vitor Campagnolo Guizilini
2025	J	`jnl`	GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity. CoRR Takuya Ikeda, Sergey Zakharov, Muhammad Zubair Irshad, Istvan Balazs Opra, Shun Iwase, Dian Chen, Mark Tjersland, Robert Lee, Alexandre Dilly, Rares Ambrus, Koichi Nishiwaki
2025	A*	`conf`	OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. ICRA Katherine Liu, Sergey Zakharov, Dian Chen, Takuya Ikeda, Greg Shakhnarovich, Adrien Gaidon, Rares Ambrus
2025	J	`jnl`	OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. CoRR Katherine Liu, Sergey Zakharov, Dian Chen, Takuya Ikeda, Greg Shakhnarovich, Adrien Gaidon, Rares Ambrus
2025	A*	`conf`	Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion. CVPR Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus
2025	J	`jnl`	Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion. CoRR Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus
2024	A*	`conf`	$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. NeurIPS Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini
2024	A*	`conf`	FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. ICRA Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad
2024	J	`jnl`	SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. CoRR Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini
2024	A*	`conf`	pix2gestalt: Amodal Segmentation by Synthesizing Wholes. CVPR Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick
2024	J	`jnl`	pix2gestalt: Amodal Segmentation by Synthesizing Wholes. CoRR Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick
2023	A*	`conf`	Depth Is All You Need for Monocular 3D Detection. ICRA Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
2023	J	`jnl`	FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects. CoRR Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad
2023	A*	`conf`	Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CVPR Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang
2023	J	`jnl`	Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CoRR Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang
2023	A*	`conf`	Towards Zero-Shot Scale-Aware Monocular Depth Estimation. ICCV Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
2023	J	`jnl`	Towards Zero-Shot Scale-Aware Monocular Depth Estimation. CoRR Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
2023	A*	`conf`	Viewpoint Equivariance for Multi-View 3D Object Detection. CVPR Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
2023	J	`jnl`	Viewpoint Equivariance for Multi-View 3D Object Detection. CoRR Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
2022	J	`jnl`	COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles. CoRR Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu
2022	A*	`conf`	Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles. CVPR Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu
2022	J	`jnl`	Depth Is All You Need for Monocular 3D Detection. CoRR Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
2022	A*	`conf`	Multi-Frame Self-Supervised Depth with Transformers. CVPR Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
2022	J	`jnl`	Multi-Frame Self-Supervised Depth with Transformers. CoRR Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon