Foveation-based mechanisms alleviate adversarial examples Y Luo, X Boix, G Roig, T Poggio, Q Zhao arXiv preprint arXiv:1511.06292, 2015 | 222 | 2015 |
-Softmax: Improving Intraclass Compactness and Interclass Separability of Features Y Luo, Y Wong, M Kankanhalli, Q Zhao IEEE transactions on neural networks and learning systems 31 (2), 685-699, 2019 | 60 | 2019 |
Fairclip: Harnessing fairness in vision-language learning Y Luo, M Shi, MO Khan, MM Afzal, H Huang, S Yuan, Y Tian, L Song, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 26 | 2024 |
Fairseg: A large-scale medical image segmentation dataset for fairness learning using segment anything model with fair error-bound scaling Y Tian, M Shi, Y Luo, A Kouhana, T Elze, M Wang arXiv preprint arXiv:2311.02189, 2023 | 22* | 2023 |
Harvard glaucoma fairness: a retinal nerve disease dataset for fairness learning and fair identity normalization Y Luo, Y Tian, M Shi, LR Pasquale, LQ Shen, N Zebardast, T Elze, ... IEEE Transactions on Medical Imaging, 2024 | 16 | 2024 |
Visual attention in multi-label image classification Y Luo, M Jiang, Q Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 16 | 2019 |
Multi-camera saliency Y Luo, M Jiang, Y Wong, Q Zhao IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (10), 2057 …, 2015 | 16 | 2015 |
Direction concentration learning: Enhancing congruency in machine learning Y Luo, Y Wong, M Kankanhalli, Q Zhao IEEE transactions on pattern analysis and machine intelligence 43 (6), 1928-1946, 2019 | 15 | 2019 |
Artifact-tolerant clustering-guided contrastive embedding learning for ophthalmic images in glaucoma M Shi, A Lokhande, MS Fazli, V Sharma, Y Tian, Y Luo, LR Pasquale, ... IEEE journal of biomedical and health informatics 27 (9), 4329-4340, 2023 | 13 | 2023 |
Learning to predict trustworthiness with steep slope loss Y Luo, Y Wong, MS Kankanhalli, Q Zhao Advances in Neural Information Processing Systems 34, 21533-21544, 2021 | 12 | 2021 |
Harvard glaucoma detection and progression: A multimodal multitask dataset and generalization-reinforced semi-supervised learning Y Luo, M Shi, Y Tian, T Elze, M Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 11 | 2023 |
Artifact correction in retinal nerve fiber layer thickness maps using deep learning and its clinical utility in glaucoma M Shi, JA Sun, A Lokhande, Y Tian, Y Luo, T Elze, LQ Shen, M Wang Translational Vision Science & Technology 12 (11), 12-12, 2023 | 10 | 2023 |
Fairdomain: Achieving fairness in cross-domain medical image segmentation and classification Y Tian, C Wen, M Shi, MM Afzal, H Huang, MO Khan, Y Luo, Y Fang, ... European Conference on Computer Vision, 251-271, 2024 | 9 | 2024 |
Learning to predict gradients for semi-supervised continual learning Y Luo, Y Wong, M Kankanhalli, Q Zhao IEEE Transactions on Neural Networks and Learning Systems 36 (2), 2593-2607, 2024 | 7 | 2024 |
Label consistent quadratic surrogate model for visual saliency prediction Y Luo, Y Wong, Q Zhao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 7 | 2015 |
n-Reference Transfer Learning for Saliency Prediction Y Luo, Y Wong, MS Kankanhalli, Q Zhao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 6 | 2020 |
Rnflt2vec: Artifact-corrected representation learning for retinal nerve fiber layer thickness maps M Shi, Y Tian, Y Luo, T Elze, M Wang Medical Image Analysis 94, 103110, 2024 | 5 | 2024 |
Eye fairness: A large-scale 3d imaging dataset for equitable eye diseases screening and fair identity scaling Y Luo, Y Tian, M Shi, T Elze, M Wang | 5 | 2023 |
Equitable deep learning for diabetic retinopathy detection using multi-dimensional retinal imaging with fair adaptive scaling: a retrospective study M Shi, MM Afzal, H Huang, C Wen, Y Luo, MO Khan, Y Tian, L Kim, T Elze, ... medRxiv, 2024.04. 13.24305759, 2024 | 4 | 2024 |
Harvard eye fairness: A large-scale 3D imaging dataset for equitable eye diseases screening and fair identity scaling Y Luo, Y Tian, M Shi, T Elze, M Wang Published online October 3, 2023 | 4 | 2023 |