A benchmark for automatic visual classification of clinical skin disease images X Sun, J Yang, M Sun, K Wang European Conference on Computer Vision, 206-222, 2016 | 55 | 2016 |
Learning visual sentiment distributions via augmented conditional probability neural network J Yang, M Sun, X Sun Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 48 | 2017 |
Clinical skin lesion diagnosis using representations inspired by dermatologist criteria J Yang, X Sun, J Liang, PL Rosin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 46 | 2018 |
Dissecting person re-identification from the viewpoint of viewpoint X Sun, L Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 45 | 2019 |
Recognition from web data: A progressive filtering approach J Yang, X Sun, YK Lai, L Zheng, MM Cheng IEEE Transactions on Image Processing 27 (11), 5303-5315, 2018 | 17 | 2018 |
Self-paced balance learning for clinical skin disease recognition J Yang, X Wu, J Liang, X Sun, MM Cheng, PL Rosin, L Wang IEEE transactions on neural networks and learning systems 31 (8), 2832-2846, 2019 | 12 | 2019 |
Historical context-based style classification of painting images via label distribution learning J Yang, L Chen, L Zhang, X Sun, D She, SP Lu, MM Cheng Proceedings of the 26th ACM international conference on Multimedia, 1154-1162, 2018 | 10 | 2018 |
Learning from web data using adversarial discriminative neural networks for fine-grained classification X Sun, L Chen, J Yang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 273-280, 2019 | 6 | 2019 |
Learning from web data: the benefit of unsupervised object localization X Sun, L Zheng, YK Lai, J Yang arXiv preprint arXiv:1812.09232, 2018 | 4 | 2018 |