| Exploit bounding box annotations for multi-label object recognition H Yang, J Tianyi Zhou, Y Zhang, BB Gao, J Wu, J Cai Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 213 | 2016 |
| Rethinking the hyperparameters for fine-tuning H Li, P Chaudhari, H Yang, M Lam, A Ravichandran, R Bhotika, S Soatto arXiv preprint arXiv:2002.11770, 2020 | 162 | 2020 |
| Linear regression-based efficient SVM learning for large-scale classification J Wu, H Yang IEEE transactions on neural networks and learning systems 26 (10), 2357-2369, 2015 | 127 | 2015 |
| MIML-FCN+: Multi-instance multi-label learning via fully convolutional networks with privileged information H Yang, J Tianyi Zhou, J Cai, Y Soon Ong Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 81 | 2017 |
| Improving multi-label learning with missing labels by structured semantic correlations H Yang, JT Zhou, J Cai Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 79 | 2016 |
| Sc2net: Sparse lstms for sparse coding JT Zhou, K Di, J Du, X Peng, H Yang, SJ Pan, I Tsang, Y Liu, Z Qin, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 71 | 2018 |
| Multi-task incremental learning for object detection X Liu, H Yang, A Ravichandran, R Bhotika, S Soatto arXiv preprint arXiv:2002.05347, 2020 | 57* | 2020 |
| Omni-detr: Omni-supervised object detection with transformers P Wang, Z Cai, H Yang, G Swaminathan, N Vasconcelos, B Schiele, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 55 | 2022 |
| Detecting 11k classes: Large scale object detection without fine-grained bounding boxes H Yang, H Wu, H Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 29 | 2019 |
| Exploiting web images for weakly supervised object detection Q Tao, H Yang, J Cai IEEE Transactions on Multimedia 21 (5), 1135-1146, 2018 | 28 | 2018 |
| Zero-annotation object detection with web knowledge transfer Q Tao, H Yang, J Cai Proceedings of the European Conference on Computer Vision (ECCV), 369-384, 2018 | 24 | 2018 |
| Rethinking few-shot object detection on a multi-domain benchmark K Lee, H Yang, S Chakraborty, Z Cai, G Swaminathan, A Ravichandran, ... European Conference on Computer Vision, 366-382, 2022 | 18 | 2022 |
| Rethinking the Hyperparameters for Fine-tuning. arXiv 2020 H Li, P Chaudhari, H Yang, M Lam, A Ravichandran, R Bhotika, S Soatto arXiv preprint arXiv:2002.11770, 2002 | 10 | 2002 |
| Practical large scale classification with additive kernels H Yang, J Wu Asian Conference on Machine Learning, 523-538, 2012 | 9 | 2012 |
| A meta-learning approach to predicting performance and data requirements A Jain, G Swaminathan, P Favaro, H Yang, A Ravichandran, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Object templates for visual place categorization H Yang, J Wu Asian Conference on Computer Vision, 470-483, 2012 | 8 | 2012 |
| THRONE: An object-based hallucination benchmark for the free-form generations of large vision-language models P Kaul, Z Li, H Yang, Y Dukler, A Swaminathan, CJ Taylor, S Soatto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| Guided recommendation for model fine-tuning H Li, C Fowlkes, H Yang, O Dabeer, Z Tu, S Soatto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Your representations are in the network: composable and parallel adaptation for large scale models Y Dukler, A Achille, H Yang, V Vivek, L Zancato, B Bowman, ... Advances in Neural Information Processing Systems 36, 2024 | 6* | 2024 |
| Mixed-Query Transformer: A Unified Image Segmentation Architecture P Wang, Z Cai, H Yang, A Swaminathan, R Manmatha, S Soatto arXiv preprint arXiv:2404.04469, 2024 | 3 | 2024 |
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AIVerified email at ucla.edu
