| Dmt: Dynamic mutual training for semi-supervised learning Z Feng, Q Zhou, Q Gu, X Tan, G Cheng, X Lu, J Shi, L Ma Pattern Recognition 130, 108777, 2022 | 155* | 2022 |
| Re-ID Driven Localization Refinement for Person Search C Han, J Ye, Y Zhong, X Tan, C Zhang, C Gao, N Sang ICCV2019, 2019 | 116 | 2019 |
| Night-time scene parsing with a large real dataset X Tan, K Xu, Y Cao, Y Zhang, L Ma, RWH Lau IEEE Transactions on Image Processing 30, 9085-9098, 2021 | 60 | 2021 |
| Rethinking efficient lane detection via curve modeling Z Feng, S Guo, X Tan, K Xu, M Wang, L Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 59 | 2022 |
| FVNet: 3D front-view proposal generation for real-time object detection from point clouds J Zhou, X Tan, Z Shao, L Ma 2019 12th International Congress on Image and Signal Processing, BioMedical …, 2019 | 40 | 2019 |
| Molecular and phenotypic spectrum of Noonan syndrome in Chinese patients X Li, R Yao, X Tan, N Li, Y Ding, J Li, G Chang, Y Chen, L Ma, J Wang, ... Clinical Genetics, 2019 | 38 | 2019 |
| Mirror detection with the visual chirality cue X Tan, J Lin, K Xu, P Chen, L Ma, RWH Lau IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3492-3504, 2022 | 37 | 2022 |
| Omni-supervised point cloud segmentation via gradual receptive field component reasoning J Gong, J Xu, X Tan, H Song, Y Qu, Y Xie, L Ma Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 36 | 2021 |
| Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds J Gong, J Xu, X Tan, J Zhou, Y Qu, Y Xie, L Ma AAAI 2021, 2021 | 28 | 2021 |
| Semantic-aware dehazing network with adaptive feature fusion S Zhang, W Ren, X Tan, ZJ Wang, Y Liu, J Zhang, X Zhang, X Cao IEEE Transactions on Cybernetics 53 (1), 454-467, 2021 | 27 | 2021 |
| SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor J Xu, J Gong, J Zhou, X Tan, Y Xie, L Ma IJCAI-PRICAI 2020, 2020 | 19 | 2020 |
| Frequency-aware Camouflaged Object Detection J Lin, X Tan, K Xu, L Ma, RWH Lau ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 16 | 2022 |
| Weakly-Supervised Saliency Detection via Salient Object Subitizing X Zheng*, X Tan*, J Zhou, L Ma, RWH Lau IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021 | 16 | 2021 |
| Saliency detection by deep network with boundary refinement and global context X Tan, H Zhu, Z Shao, X Hou, Y Hao, L Ma 2018 IEEE international conference on multimedia and expo (ICME), 1-6, 2018 | 13 | 2018 |
| Deep Multi-Center Learning for Face Alignment Z Shao, H Zhu, X Tan, Y Hao, L Ma Neurocomputing, 2019 | 12 | 2019 |
| Single image deraining via detail-guided efficient channel attention network X Lin, Q Huang, W Huang, X Tan, M Fang, L Ma Computers & Graphics 97, 117-125, 2021 | 11 | 2021 |
| MCCH: A novel convex hull prior based solution for saliency detection X Lin, ZJ Wang, X Tan, ME Fang, NN Xiong, L Ma Information Sciences 485, 521-539, 2019 | 11 | 2019 |
| Novelty Detection via Contrastive Learning with Negative Data Augmentation C Chen, Y Xie, S Lin, R Qiao, J Zhou, X Tan, Y Zhang, L Ma IJCAI 2021, 2021 | 9 | 2021 |
| Sketch-to-photo face generation based on semantic consistency preserving and similar connected component refinement L Li, J Tang, Z Shao, X Tan, L Ma The Visual Computer 38 (11), 3577-3594, 2022 | 8 | 2022 |
| Confident semantic ranking loss for part parsing X Tan, J Xu, Z Ye, J Hao, L Ma 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 6 | 2021 |
Lizhuang Ma (马利庄)Shanghai Jiao Tong UniversityVerified email at cs.sjtu.edu.cn
