Stojanov, Stefan

11 publications

NeurIPS 2025 Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals Stefan Stojanov, David Wendt, Seungwoo Kim, Rahul Mysore Venkatesh, Kevin Feigelis, Klemen Kotar, Khai Loong Aw, Jiajun Wu, Daniel LK Yamins

NeurIPS 2025 Taming Generative Video Models for Zero-Shot Optical Flow Extraction Seungwoo Kim, Khai Loong Aw, Klemen Kotar, Cristobal Eyzaguirre, Wanhee Lee, Yunong Liu, Jared Watrous, Stefan Stojanov, Juan Carlos Niebles, Jiajun Wu, Daniel LK Yamins

ICCV 2025 Weakly-Supervised Learning of Dense Functional Correspondences Stefan Stojanov, Linan Zhao, Yunzhi Zhang, Daniel L. K. Yamins, Jiajun Wu

ECCV 2024 3x2: 3D Object Part Segmentation by 2D Semantic Correspondences Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, James M Rehg, Matt Feiszli

ECCVW 2024 Leveraging Object Priors for Point Tracking Bikram Boote, Anh Thai, Wenqi Jia, Ozgur Kara, Stefan Stojanov, James M. Rehg, Sangmin Lee

CVPR 2024 ZeroShape: Regression-Based Zero-Shot Shape Reconstruction Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg

NeurIPS 2023 Low-Shot Object Learning with Mutual Exclusivity Bias Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg

CVPR 2023 ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg

NeurIPS 2022 Learning Dense Object Descriptors from Multiple Views for Low-Shot Category Generalization Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg

ECCV 2022 Planes vs. Chairs: Category-Guided 3D Shape Learning Without Any 3D Cues Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg

CVPR 2021 Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias Stefan Stojanov, Anh Thai, James M. Rehg