Stefan Stojanov

According to our database, Stefan Stojanov authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

Shape-biased representations for object category recognition.

Stefan Stojanov

PhD thesis, 2024

Leveraging Object Priors for Point Tracking.

Bikram Boote, Anh Thai, Wenqi Jia, Ozgur Kara, Stefan Stojanov, James M. Rehg, Sangmin Lee

CoRR, 2024

3x2: 3D Object Part Segmentation by 2D Semantic Correspondences.

Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, Matt Feiszli, James M. Rehg

CoRR, 2024

The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences.

Bria Long, Violet Xiang, Stefan Stojanov, Robert Z. Sparks, Zi Yin, Grace E. Keene, Alvin W. M. Tan, Steven Y. Feng, Chengxu Zhuang, Virginia A. Marchman, Daniel L. K. Yamins, Michael C. Frank

CoRR, 2024

3˟ 2: 3D Object Part Segmentation by 2D Semantic Correspondences.

Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, James M. Rehg, Matt Feiszli

Proceedings of the Computer Vision - ECCV 2024, 2024

ZeroShape: Regression-Based Zero-Shot Shape Reconstruction.

Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg

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

2023

Low-shot Object Learning with Mutual Exclusivity Bias.

Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James M. Rehg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

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

2022

Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422).

James M. Rehg, Pierre-Yves Oudeyer, Linda B. Smith, Sho Tsuji, Stefan Stojanov, Ngoc Anh Thai

Dagstuhl Reports, October, 2022

Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization.

Stefan Stojanov, Anh Thai, Zixuan Huang, James M. Rehg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Benefits of Depth Information for Head-Mounted Gaze Estimation.

Stefan Stojanov, Sachin S. Talathi, Abhishek Sharma

Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022

Planes vs. Chairs: Category-Guided 3D Shape Learning Without any 3D Cues.

Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg

Proceedings of the Computer Vision - ECCV 2022, 2022

The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction.

Anh Thai, Stefan Stojanov, Zixuan Huang, James M. Rehg

Proceedings of the International Conference on 3D Vision, 2022

2021

Does Continual Learning = Catastrophic Forgetting?

Anh Thai, Stefan Stojanov, Isaac Rehg, James M. Rehg

CoRR, 2021

Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias.

Stefan Stojanov, Anh Thai, James M. Rehg

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D Reconstruction of Novel Object Shapes from Single Images.

Anh Thai, Stefan Stojanov, Vijay Upadhya, James M. Rehg

Proceedings of the International Conference on 3D Vision, 2021

2019

Unsupervised 3D Pose Estimation with Geometric Self-Supervision.

Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, M. V. Rohith, Stefan Stojanov, James M. Rehg

CoRR, 2019

Incremental Object Learning From Contiguous Views.

Stefan Stojanov, Samarth Mishra, Ngoc Anh Thai, Nikhil Dhanda, Ahmad Humayun, Chen Yu, Linda B. Smith, James M. Rehg

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Unsupervised 3D Pose Estimation With Geometric Self-Supervision.

Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith MV, Stefan Stojanov, James M. Rehg

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019