Dian Chen

According to our database, Dian Chen authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation.

TRI LBM Team, 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, Jean Mercat, Patrick Tree Miller, Paul Mitiguy, Tony Khuong Nguyen, Jeremy Nimmer, Yuki Noguchi, Reko Ong, Aykut Özgün Önol, Owen Pfannenstiehl, Richard Poyner, Leticia Priebe Mendes 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

CoRR, July, 2025

GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity.

Takuya Ikeda, Sergey Zakharov, Muhammad Zubair Irshad, Istvan Balazs Opra, Shun Iwase, Dian Chen, Mark Tjersland, Robert Lee, Alexandre Dilly, Rares Ambrus, Koichi Nishiwaki

CoRR, May, 2025

OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World.

Katherine Liu, Sergey Zakharov, Dian Chen, Takuya Ikeda, Greg Shakhnarovich, Adrien Gaidon, Rares Ambrus

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion.

Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects.

Mayank Lunayach, Sergey Zakharov, Dian Chen, Rares Ambrus, Zsolt Kira, Muhammad Zubair Irshad

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

pix2gestalt: Amodal Segmentation by Synthesizing Wholes.

Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Depth Is All You Need for Monocular 3D Detection.

Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Towards Zero-Shot Scale-Aware Monocular Depth Estimation.

Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Viewpoint Equivariance for Multi-View 3D Object Detection.

Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Multi-Frame Self-Supervised Depth with Transformers.

Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles.

Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022