| EGNet: Edge guidance network for salient object detection JX Zhao, JJ Liu, DP Fan, Y Cao, J Yang, MM Cheng Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1242 | 2019 |
| Ip102: A large-scale benchmark dataset for insect pest recognition X Wu, C Zhan, YK Lai, MM Cheng, J Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 477 | 2019 |
| BBS-Net: RGB-D salient object detection with a bifurcated backbone strategy network DP Fan, Y Zhai, A Borji, J Yang, L Shao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 391 | 2020 |
| A benchmark for automatic visual classification of clinical skin disease images X Sun, J Yang, M Sun, K Wang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 226 | 2016 |
| Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network. J Yang, D She, M Sun IJCAI, 3266-3272, 2017 | 211 | 2017 |
| Visual sentiment prediction based on automatic discovery of affective regions J Yang, D She, M Sun, MM Cheng, PL Rosin, L Wang IEEE Transactions on Multimedia 20 (9), 2513-2525, 2018 | 188 | 2018 |
| 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 | 172 | 2017 |
| Weakly supervised coupled networks for visual sentiment analysis J Yang, D She, YK Lai, PL Rosin, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 157 | 2018 |
| Multimodal sentiment analysis with image-text interaction network T Zhu, L Li, J Yang, S Zhao, H Liu, J Qian IEEE transactions on multimedia 25, 3375-3385, 2022 | 139 | 2022 |
| Bifurcated backbone strategy for RGB-D salient object detection Y Zhai, DP Fan, J Yang, A Borji, L Shao, J Han, L Wang IEEE Transactions on Image Processing 30, 8727-8742, 2021 | 138 | 2021 |
| 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 | 135 | 2018 |
| Affective image content analysis: Two decades review and new perspectives S Zhao, X Yao, J Yang, G Jia, G Ding, TS Chua, BW Schuller, K Keutzer IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6729 …, 2021 | 132 | 2021 |
| Emotion recognition from multiple modalities: Fundamentals and methodologies S Zhao, G Jia, J Yang, G Ding, K Keutzer IEEE Signal Processing Magazine 38 (6), 59-73, 2021 | 127 | 2021 |
| An end-to-end visual-audio attention network for emotion recognition in user-generated videos S Zhao, Y Ma, Y Gu, J Yang, T Xing, P Xu, R Hu, H Chai, K Keutzer Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 303-311, 2020 | 126 | 2020 |
| Re-attention for visual question answering W Guo, Y Zhang, J Yang, X Yuan IEEE Transactions on Image Processing 30, 6730-6743, 2021 | 116 | 2021 |
| 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 | 105 | 2019 |
| WSCNet: Weakly supervised coupled networks for visual sentiment classification and detection D She, J Yang, MM Cheng, YK Lai, PL Rosin, L Wang IEEE Transactions on Multimedia 22 (5), 1358-1371, 2019 | 98 | 2019 |
| Joint acne image grading and counting via label distribution learning X Wu, N Wen, J Liang, YK Lai, D She, MM Cheng, J Yang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 97 | 2019 |
| Retrieving and classifying affective images via deep metric learning J Yang, D She, YK Lai, MH Yang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 93 | 2018 |
| Subspace clustering via good neighbors J Yang, J Liang, K Wang, PL Rosin, MH Yang IEEE transactions on pattern analysis and machine intelligence 42 (6), 1537-1544, 2019 | 91 | 2019 |
Sicheng ZhaoTsinghua Universityبريد إلكتروني تم التحقق منه على tsinghua.edu.cn