| 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 | 215 | 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 | 50 | 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 | 26 | 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 | 25 | 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 | 10 | 2023 |
| 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 | 10* | 2021 |
| 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 | 9 | 2022 |
| ZeroShape: Regression-based Zero-shot Shape Reconstruction Z Huang, S Stojanov, A Thai, V Jampani, JM Rehg arXiv preprint arXiv:2312.14198, 2023 | 4 | 2023 |
| 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 | 2 | 2022 |
| 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 |
| 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 | | 2023 |
| 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-ChampaignVerified email at illinois.edu
