Stefan Stojanov

34 papers A* 7B 1Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Autoregressive Flow Matching for Motion Prediction.
CoRR
Johnathan Xie, Stefan Stojanov, Cristóbal Eyzaguirre, Daniel L. K. Yamins, Jiajun Wu
2025 J jnl
Discovering and using Spelke segments.
CoRR
Rahul Mysore Venkatesh, Klemen Kotar, Lilian Naing Chen, Seungwoo Kim, Luca Thomas Wheeler, Jared Watrous, Ashley Xu, Gia Ancone, Wanhee Lee, Honglin Chen, Daniel Bear, Stefan Stojanov, Daniel Yamins
2025 J jnl
MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models.
CoRR
Anh Thai, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg
2025 J jnl
Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals.
CoRR
Stefan Stojanov, David Wendt, Seungwoo Kim, Rahul Mysore Venkatesh, Kevin T. Feigelis, Jiajun Wu, Daniel L. K. Yamins
2025 J jnl
Taming generative video models for zero-shot optical flow extraction.
CoRR
Seungwoo Kim, Khai Loong Aw, Klemen Kotar, Cristóbal Eyzaguirre, Wanhee Lee, Yunong Liu, Jared Watrous, Stefan Stojanov, Juan Carlos Niebles, Jiajun Wu, Daniel L. K. Yamins
2025 J jnl
Weakly-Supervised Learning of Dense Functional Correspondences.
CoRR
Stefan Stojanov, Linan Zhao, Yunzhi Zhang, Daniel L. K. Yamins, Jiajun Wu
2025 J jnl
World Modeling with Probabilistic Structure Integration.
CoRR
Klemen Kotar, Wanhee Lee, Rahul Mysore Venkatesh, Honglin Chen, Daniel Bear, Jared Watrous, Simon Kim, Khai Loong Aw, Lilian Naing Chen, Stefan Stojanov, Kevin T. Feigelis, Imran Thobani, Alex Durango, Khaled Jedoui, Atlas Kazemian, Dan Yamins
2024 J jnl
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences.
CoRR
Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, Matt Feiszli, James M. Rehg
2024 — conf
3˟ 2: 3D Object Part Segmentation by 2D Semantic Correspondences.
ECCV (38)
Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, James M. Rehg, Matt Feiszli
2024 — conf
Leveraging Object Priors for Point Tracking.
ECCV Workshops (10)
Bikram Boote, Anh Thai, Wenqi Jia, Ozgur Kara, Stefan Stojanov, James M. Rehg, Sangmin Lee
2024 J jnl
Leveraging Object Priors for Point Tracking.
CoRR
Bikram Boote, Anh Thai, Wenqi Jia, Ozgur Kara, Stefan Stojanov, James M. Rehg, Sangmin Lee
2024 — —
Shape-biased representations for object category recognition.
Stefan Stojanov
2024 J jnl
The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences.
CoRR
Bria Long, Violet Xiang, Stefan Stojanov, Robert Z. Sparks, Zi Yin, Grace E. Keene, Alvin Wei Ming Tan, Steven Y. Feng, Chengxu Zhuang, Virginia A. Marchman, Daniel L. K. Yamins, Michael C. Frank
2024 A* conf
ZeroShape: Regression-Based Zero-Shot Shape Reconstruction.
CVPR
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
2023 A* conf
Low-shot Object Learning with Mutual Exclusivity Bias.
NeurIPS
Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg
2023 J jnl
Low-shot Object Learning with Mutual Exclusivity Bias.
CoRR
Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg
2023 A* conf
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency.
CVPR
Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg
2023 J jnl
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency.
CoRR
Zixuan Huang, Varun Jampani, Anh Thai, Yuanzhen Li, Stefan Stojanov, James M. Rehg
2023 J jnl
ZeroShape: Regression-based Zero-shot Shape Reconstruction.
CoRR
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
2022 J jnl
Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422).
Dagstuhl Reports
James M. Rehg, Pierre-Yves Oudeyer, Linda B. Smith, Sho Tsuji, Stefan Stojanov, Ngoc Anh Thai
2022 A* conf
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization.
NeurIPS
Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg
2022 J jnl
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization.
CoRR
Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg
2022 — conf
Planes vs. Chairs: Category-Guided 3D Shape Learning Without any 3D Cues.
ECCV (1)
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
2022 J jnl
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues.
CoRR
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg
2022 B conf
The Benefits of Depth Information for Head-Mounted Gaze Estimation.
ETRA
Stefan Stojanov, Sachin S. Talathi, Abhishek Sharma
2022 — conf
The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction.
3DV
Anh Thai, Stefan Stojanov, Zixuan Huang, James M. Rehg
2021 — conf
3D Reconstruction of Novel Object Shapes from Single Images.
3DV
Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg
2021 J jnl
Does Continual Learning = Catastrophic Forgetting?
CoRR
Anh Thai, Stefan Stojanov, Isaac Rehg, James M. Rehg
2021 A* conf
Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias.
CVPR
Stefan Stojanov, Anh Thai, James M. Rehg
2021 J jnl
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias.
CoRR
Stefan Stojanov, Anh Thai, James M. Rehg
2020 J jnl
3D Reconstruction of Novel Object Shapes from Single Images.
CoRR
Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg
2019 A* conf
Incremental Object Learning From Contiguous Views.
CVPR
Stefan Stojanov, Samarth Mishra, Ngoc Anh Thai, Nikhil Dhanda, Ahmad Humayun, Chen Yu, Linda B. Smith, James M. Rehg
2019 A* conf
Unsupervised 3D Pose Estimation With Geometric Self-Supervision.
CVPR
Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith MV, Stefan Stojanov, James M. Rehg
2019 J jnl
Unsupervised 3D Pose Estimation with Geometric Self-Supervision.
CoRR
Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, M. V. Rohith, Stefan Stojanov, James M. Rehg