SCUT-FBP5500: A diverse benchmark dataset for multi-paradigm facial beauty prediction L Liang, L Lin, L Jin, D Xie, M Li 2018 24th International conference on pattern recognition (ICPR), 1598-1603, 2018 | 194 | 2018 |
Graph convolutional neural network for human action recognition: A comprehensive survey T Ahmad, L Jin, X Zhang, S Lai, G Tang, L Lin IEEE Transactions on Artificial Intelligence 2 (2), 128-145, 2021 | 87 | 2021 |
Self-supervised noisy label learning for source-free unsupervised domain adaptation W Chen, L Lin, S Yang, D Xie, S Pu, Y Zhuang 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 62 | 2022 |
Regression Guided by Relative Ranking Using Convolutional Neural Network (RCNN) for Facial Beauty Prediction L Lin, L Liang, L Jin IEEE Transactions on Affective Computing 13 (1), 122-134, 2019 | 47 | 2019 |
Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction. L Lin, L Liang, L Jin, W Chen IJCAI, 847-853, 2019 | 40 | 2019 |
Action recognition using attention-joints graph convolutional neural networks T Ahmad, H Mao, L Lin, G Tang IEEE Access 8, 305-313, 2019 | 38 | 2019 |
SynSig2Vec: Learning representations from synthetic dynamic signatures for real-world verification S Lai, L Jin, L Lin, Y Zhu, H Mao Proceedings of the AAAI conference on artificial intelligence 34 (01), 735-742, 2020 | 35 | 2020 |
Skeleton-based action recognition using sparse spatio-temporal GCN with edge effective resistance T Ahmad, L Jin, L Lin, GZ Tang Neurocomputing 423, 389-398, 2021 | 34 | 2021 |
SynSig2Vec: Forgery-free learning of dynamic signature representations by sigma lognormal-based synthesis and 1D CNN S Lai, L Jin, Y Zhu, Z Li, L Lin IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6472 …, 2021 | 28 | 2021 |
Unsupervised image classification for deep representation learning W Chen, S Pu, D Xie, S Yang, Y Guo, L Lin Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 23 | 2020 |
Dynamic domain generalization Z Sun, Z Shen, L Lin, Y Yu, Z Yang, S Yang, W Chen arXiv preprint arXiv:2205.13913, 2022 | 22 | 2022 |
R2-ResNeXt: A ResNeXt-Based Regression Model with Relative Ranking for Facial Beauty Prediction L Lin, L Liang, L Jin 2018 24th International Conference on Pattern Recognition (ICPR), 85-90, 2018 | 22 | 2018 |
Region-aware scattering convolution networks for facial beauty prediction L Liang, D Xie, L Jin, J Xu, M Li, L Lin 2017 IEEE International Conference on Image Processing (ICIP), 2861-2865, 2017 | 16 | 2017 |
Slimmable domain adaptation R Meng, W Chen, S Yang, J Song, L Lin, D Xie, S Pu, X Wang, M Song, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 13 | 2022 |
Semi-Supervised Domain Generalization with Evolving Intermediate Domain L Lin, H Xie, Z Sun, W Chen, W Liu, Y Yu, L Zhang Pattern Recognition 149, 110280, 2024 | 12* | 2024 |
Periodically exchange teacher-student for source-free object detection Q Liu, L Lin, Z Shen, Z Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
Self-supervised noisy label learning for source-free unsupervised domain adaptation. In 2022 IEEE W Chen, L Lin, S Yang, D Xie, S Pu, Y Zhuang, W Ren RSJ International Conference on Intelligent Robots and Systems (IROS), 10185 …, 2021 | 8 | 2021 |
Run and chase: Towards accurate source-free domain adaptive object detection L Lin, Z Yang, Q Liu, Y Yu, Q Lin 2023 IEEE International Conference on Multimedia and Expo (ICME), 2453-2458, 2023 | 4 | 2023 |
Parameter exchange for robust dynamic domain generalization L Lin, Z Shen, Z Sun, Y Yu, L Zhang, W Chen Proceedings of the 31st ACM International Conference on Multimedia, 7354-7362, 2023 | 3 | 2023 |
Unsupervised prompt tuning for text-driven object detection W He, W Chen, B Chen, S Yang, D Xie, L Lin, D Qi, Y Zhuang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |