Unsupervised 3d pose estimation with geometric self-supervision CH Chen, A Tyagi, A Agrawal, D Drover, S Stojanov, JM Rehg
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
244 2019 Incremental object learning from contiguous views S Stojanov, S Mishra, NA Thai, N Dhanda, A Humayun, C Yu, LB Smith, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
53 2019 3d reconstruction of novel object shapes from single images A Thai, S Stojanov, V Upadhya, JM Rehg
2021 International Conference on 3D Vision (3DV), 85-95, 2021
37 2021 Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias S Stojanov, A Thai, JM Rehg
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
34 2021 ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency Z Huang, V Jampani, A Thai, Y Li, S Stojanov, JM Rehg
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
21 2023 ZeroShape: Regression-based Zero-shot Shape Reconstruction Z Huang*, S Stojanov*, A Thai, V Jampani, JM Rehg
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
20 2024 Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues Z Huang, S Stojanov, A Thai, V Jampani, JM Rehg
European Conference on Computer Vision, 727-744, 2022
14 2022 The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction A Thai, S Stojanov, Z Huang, I Rehg, JM Rehg
arXiv preprint arXiv:2101.07295, 2021
12 * 2021 The Benefits of Depth Information for Head-Mounted Gaze Estimation S Stojanov, SS Talathi, A Sharma
2022 Symposium on Eye Tracking Research and Applications, 1-7, 2022
5 2022 The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences B Long, V Xiang, S Stojanov, RZ Sparks, Z Yin, GE Keene, AWM Tan, ...
arXiv preprint arXiv:2406.10447, 2024
4 2024 Low-shot Object Learning with Mutual Exclusivity Bias NA Thai, A Humayun, S Stojanov, Z Huang, B Boote, JM Rehg
Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023
2 2023 A Thai, W Wang, H Tang, S Stojanov, JM Rehg, M Feiszli
European Conference on Computer Vision, 149-166, 2025
1 2025 Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization S Stojanov, NA Thai, Z Huang, JM Rehg
Advances in Neural Information Processing Systems, 2022
1 2022 Leveraging Object Priors for Point Tracking B Boote, A Thai, W Jia, O Kara, S Stojanov, JM Rehg, S Lee
arXiv preprint arXiv:2409.05786, 2024
2024 Developmental Machine Learning: From Human Learning to Machines and Back (Dagstuhl Seminar 22422) JM Rehg, PY Oudeyer, LB Smith, S Tsuji, S Stojanov, NA Thai
Dagstuhl Reports 12 (10), 2023
2023 
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
