| 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 | 245 | 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 | 32 | 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 | 17 | 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 | 16 | 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 | 13 | 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 | 3 | 2024 |
| : 3D Object Part Segmentation by 2D Semantic Correspondences A Thai, W Wang, H Tang, S Stojanov, JM Rehg, M Feiszli European Conference on Computer Vision, 149-166, 2025 | 1 | 2025 |
| 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 | 1 | 2023 |
| 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-ChampaignE-mailová adresa ověřena na: illinois.edu
