| Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification H Liu, J Cheng, W Wang, Y Su, H Bai Neurocomputing 398, 11-19, 2020 | 114 | 2020 |
| Sam-med2d J Cheng, J Ye, Z Deng, J Chen, T Li, H Wang, Y Su, Z Huang, J Chen, ... arXiv preprint arXiv:2308.16184, 2023 | 58 | 2023 |
| Stu-net: Scalable and transferable medical image segmentation models empowered by large-scale supervised pre-training Z Huang, H Wang, Z Deng, J Ye, Y Su, H Sun, J He, Y Gu, L Gu, S Zhang, ... arXiv preprint arXiv:2304.06716, 2023 | 30 | 2023 |
| Semantic segmentation of very-high-resolution remote sensing images via deep multi-feature learning Y Su, J Cheng, H Bai, H Liu, C He Remote Sensing 14 (3), 533, 2022 | 24 | 2022 |
| Sam-med3d H Wang, S Guo, J Ye, Z Deng, J Cheng, T Li, J Chen, Y Su, Z Huang, ... arXiv preprint arXiv:2310.15161, 2023 | 20 | 2023 |
| Ttpp: Temporal transformer with progressive prediction for efficient action anticipation W Wang, X Peng, Y Su, Y Qiao, J Cheng Neurocomputing 438, 270-279, 2021 | 18 | 2021 |
| Semantic segmentation of high resolution remote sensing image based on batch-attention mechanism Y Su, Y Wu, M Wang, F Wang, J Cheng IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 18 | 2019 |
| FAPN: feature augmented pyramid network for polyp segmentation Y Su, J Cheng, M Yi, H Liu Biomedical Signal Processing and Control 78, 103903, 2022 | 17 | 2022 |
| Calibrated focal loss for semantic labeling of high-resolution remote sensing images H Bai, J Cheng, Y Su, S Liu, X Liu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 11 | 2022 |
| Semantic segmentation for high-resolution remote-sensing images via dynamic graph context reasoning Y Su, J Cheng, W Wang, H Bai, H Liu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 11 | 2022 |
| Exploring vanilla u-net for lesion segmentation from whole-body fdg-pet/ct scans J Ye, H Wang, Z Huang, Z Deng, Y Su, C Tu, Q Wu, Y Yang, M Wei, J Niu, ... arXiv preprint arXiv:2210.07490, 2022 | 9 | 2022 |
| Sa-med2d-20m dataset: Segment anything in 2d medical imaging with 20 million masks J Ye, J Cheng, J Chen, Z Deng, T Li, H Wang, Y Su, Z Huang, J Chen, ... arXiv preprint arXiv:2311.11969, 2023 | 7 | 2023 |
| FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images Y Su, J Cheng, C Zhong, Y Zhang, J Ye, J He, J Liu Biomedical Signal Processing and Control 83, 104699, 2023 | 6 | 2023 |
| Accurate polyp segmentation through enhancing feature fusion and boosting boundary performance Y Su, J Cheng, C Zhong, C Jiang, J Ye, J He Neurocomputing 545, 126233, 2023 | 5 | 2023 |
| How to design a deep neural network for retinal vessel segmentation: an empirical study Y Su, J Cheng, G Cao, H Liu Biomedical Signal Processing and Control 77, 103761, 2022 | 5 | 2022 |
| A Discriminatively Learned CNN Embedding For Remote Sensing Image Scene Classification W Wang, L Du, Y Gao, Y Su, F Wang, J Cheng IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 3 | 2019 |
| Segrap2023: A benchmark of organs-at-risk and gross tumor volume segmentation for radiotherapy planning of nasopharyngeal carcinoma X Luo, J Fu, Y Zhong, S Liu, B Han, M Astaraki, S Bendazzoli, ... arXiv preprint arXiv:2312.09576, 2023 | 2 | 2023 |
| Revisiting feature propagation and aggregation in polyp segmentation Y Su, Y Shen, J Ye, J He, J Cheng International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Multi-Branch Adaptive Hard Region Mining Network for Urban Scene Parsing of High-Resolution Remote-Sensing Images H Bai, J Cheng, Y Su, Q Wang, H Han, Y Zhang Remote Sensing 14 (21), 5527, 2022 | 2 | 2022 |
| Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review J Cheng, C Deng, Y Su, Z An, Q Wang ISPRS Journal of Photogrammetry and Remote Sensing 211, 1-34, 2024 | 1 | 2024 |
