Publications

My research interests lie in 3D computer vision and visual intelligence.
Can Generative Video Models Help Pose Estimation?
In submission, 2024
Ruojin Cai, Jason Y. Zhang, Philipp Henzler, Zhengqi Li, Noah Snavely, Ricardo Martin-Brualla
Doppelgangers++: Improved Visual Disambiguation with Geometric 3D Features
arXiv preprint, 2024
Yuanbo Xiangli, Ruojin Cai, Hanyu Chen, Jeffrey Byrne, Noah Snavely
Extreme Rotation Estimation in the Wild
arXiv preprint, 2024
Hana Bezalel, Dotan Ankri, Ruojin Cai, Hadar Averbuch-Elor
MegaScenes: Scene-Level View Synthesis at Scale
ECCV 2024
Joseph Tung*, Gene Chou*, Ruojin Cai, Guandao Yang, Kai Zhang, Gordon Wetzstein, Bharath Hariharan, Noah Snavely
Doppelgangers: Learning to Disambiguate Images of Similar Structures
ICCV 2023 (Oral)
Ruojin Cai, Joseph Tung, Qianqian Wang, Hadar Averbuch-Elor, Bharath Hariharan, Noah Snavely
Tracking Everything Everywhere All at Once
ICCV 2023 (Oral)
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely
Neural Scene Chronology
CVPR 2023
Haotong Lin, Qianqian Wang, Ruojin Cai, Sida Peng, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely
Extreme Rotation Estimation using Dense Correlation Volumes
CVPR 2021
Ruojin Cai, Bharath Hariharan, Noah Snavely, Hadar Averbuch-Elor
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
CVPR 2021
Le Yang*, Haojun Jiang*, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian
Learning Gradient Fields for Shape Generation
ECCV 2020 (Spotlight)
Ruojin Cai*, Guandao Yang*, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, Bharath Hariharan
Order-Sensitive Deep Hashing for Multimorbidity Medical Image Retrieval
MICCAI 2018
Zhixiang Chen*, Ruojin Cai*, Jiwen Lu, Jianjiang Feng, Jie Zhou