| Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach Z Xu, Z Li, Q Guan, D Zhang, Q Li, J Nan, C Liu, W Bian, J Ye Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 496 | 2018 |
| CRIS: CLIP-Driven Referring Image Segmentation Z Wang, Y Lu, Q Li, X Tao, Y Guo, M Gong, T Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 397 | 2022 |
| Adversarial network embedding Q Dai, Q Li, J Tang, D Wang Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 263 | 2018 |
| End-to-end hand mesh recovery from a monocular RGB image X Zhang, Q Li, H Mo, W Zhang, W Zheng Proceedings of the IEEE International Conference on Computer Vision, 2354-2364, 2019 | 257 | 2019 |
| Conditional graphical lasso for multi-label image classification Q Li, M Qiao, W Bian, D Tao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 138 | 2016 |
| Adversarial Training Methods for Network Embedding Q Dai, X Shen, L Zhang, Q Li, D Wang The World Wide Web Conference, 329-339, 2019 | 115 | 2019 |
| Local metric learning for exemplar-based object detection X You, Q Li, D Tao, W Ou, M Gong IEEE Transactions on Circuits and Systems for Video Technology 24 (8), 1265-1276, 2014 | 73 | 2014 |
| BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation M Liu, Q Li, Z Qin, G Zhang, P Wan, W Zheng Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 64 | 2021 |
| Mutual component analysis for heterogeneous face recognition Z Li, D Gong, Q Li, D Tao, X Li ACM Transactions on Intelligent Systems and Technology (TIST) 7 (3), 1-23, 2016 | 50 | 2016 |
| Exploring set similarity for dense self-supervised representation learning Z Wang, Q Li, G Zhang, P Wan, W Zheng, N Wang, M Gong, T Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 44 | 2022 |
| Correlated logistic model with elastic net regularization for multilabel image classification Q Li, B Xie, J You, W Bian, D Tao IEEE Transactions on Image Processing 25 (8), 3801-3813, 2016 | 27 | 2016 |
| Adapting Stochastic Block Models to Power-Law Degree Distributions M Qiao, J Yu, W Bian, Q Li, D Tao IEEE Transactions on Cybernetics, 2018 | 26 | 2018 |
| Robust nonnegative patch alignment for dimensionality reduction X You, W Ou, CLP Chen, Q Li, Z Zhu, Y Tang IEEE transactions on neural networks and learning systems 26 (11), 2760-2774, 2015 | 26 | 2015 |
| ITTR: Unpaired Image-to-Image Translation with Transformers W Zheng, Q Li, G Zhang, P Wan, Z Wang arXiv preprint arXiv:2203.16015, 2022 | 24 | 2022 |
| Siamese Keypoint Prediction Network for Visual Object Tracking Q Li, Z Qin, W Zhang, W Zheng arXiv preprint arXiv:2006.04078, 2020 | 22 | 2020 |
| Pyramid Geometric Consistency Learning For Semantic Segmentation X Zhang, Q Li, Z Quan, W Yang Pattern Recognition 133, 109020, 2023 | 15 | 2023 |
| Ranking Network Embedding via Adversarial Learning Q Dai, Q Li, L Zhang, D Wang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 27-39, 2019 | 13 | 2019 |
| Bridging CLIP and StyleGAN through Latent Alignment for Image Editing W Zheng, Q Li, X Guo, P Wan, Z Wang arXiv preprint arXiv:2210.04506, 2022 | 12 | 2022 |
| Improving stochastic block models by incorporating power-law degree characteristic M Qiao, J Yu, W Bian, Q Li, D Tao Proceedings of the 26th International Joint Conference on Artificial …, 2017 | 10 | 2017 |
| SED: Searching Enhanced Decoder with switchable skip connection for semantic segmentation X Zhang, Z Quan, Q Li, D Zhu, W Yang Pattern Recognition 149, 110196, 2024 | 8 | 2024 |
Dacheng TaoNanyang Technological UniversityE-mail megerősítve itt: ntu.edu.sg