| RSSFormer: Foreground Saliency Enhancement for Remote Sensing Land-Cover Segmentation R Xu, C Wang, J Zhang, S Xu, W Meng, X Zhang IEEE Transactions on Image Processing (TIP) 32, 1052-1064, 2023 | 58 | 2023 |
| Instance segmentation of biological images using graph convolutional network R Xu, Y Li, C Wang, S Xu, W Meng, X Zhang Engineering Applications of Artificial Intelligence (EAAI) 110, 104739, 2022 | 32 | 2022 |
| DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation C Wang, R Xu, S Xu, W Meng, X Zhang MICCAI, 528-538, 2022 | 28 | 2022 |
| Self correspondence distillation for end-to-end weakly-supervised semantic segmentation R Xu, C Wang, J Sun, S Xu, W Meng, X Zhang AAAI, 2023 | 27 | 2023 |
| MTLDesc: Looking Wider to Describe Better C Wang, R Xu, Y Zhang, S Xu, W Meng, B Fan, X Zhang AAAI, 2022 | 26 | 2022 |
| CNDesc: Cross normalization for local descriptors learning C Wang, R Xu, S Xu, W Meng, X Zhang IEEE Transactions on Multimedia (TMM), 2022 | 25 | 2022 |
| DC-Net: Dual context network for 2D medical image segmentation R Xu, C Wang, S Xu, W Meng, X Zhang MICCAI, 503-513, 2021 | 22 | 2021 |
| Domainfeat: Learning local features with domain adaptation R Xu, C Wang, S Xu, W Meng, Y Zhang, B Fan, X Zhang IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 17* | 2023 |
| Accurate Lung Nodule Segmentation With Detailed Representation Transfer and Soft Mask Supervision C Wang, R Xu, S Xu, W Meng, J Xiao, X Zhang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 16* | 2023 |
| Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation C Wang, R Xu, S Xu, W Meng, X Zhang ICCV 2023, 755-765, 2023 | 16 | 2023 |
| Retinal vessel segmentation via context guide attention net with joint hard sample mining strategy C Wang, R Xu, Y Zhang, S Xu, X Zhang ISBI 2021, 1319-1323, 2021 | 16 | 2021 |
| Attention weighted local descriptors C Wang, R Xu, K Lu, S Xu, W Meng, Y Zhang, B Fan, X Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 10632 …, 2023 | 14 | 2023 |
| Wave-like class activation map with representation fusion for weakly-supervised semantic segmentation R Xu, C Wang, S Xu, W Meng, X Zhang IEEE Transactions on Multimedia 26, 581-592, 2023 | 11 | 2023 |
| Toward accurate and efficient road extraction by leveraging the characteristics of road shapes C Wang, R Xu, S Xu, W Meng, R Wang, J Zhang, X Zhang IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023 | 9 | 2023 |
| Task relation distillation and prototypical pseudo label for incremental named entity recognition D Zhang, H Li, W Cong, R Xu, J Dong, X Chen CIKM 2023, 3319-3329, 2023 | 8 | 2023 |
| Dual-stream Representation Fusion Learning for accurate medical image segmentation R Xu, C Wang, S Xu, W Meng, X Zhang Engineering Applications of Artificial Intelligence 123, 106402, 2023 | 8 | 2023 |
| An attention-based hybrid deep learning framework integrating temporal coherence and dynamics for discriminating schizophrenia M Zhao, W Yan, R Xu, D Zhi, R Jiang, T Jiang, VD Calhoun, J Sui ISBI 2021, 118-121, 2021 | 7 | 2021 |
| NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation J Zhang, K Wang, R Xu, G Zhou, Y Hong, X Fang, Q Wu, Z Zhang, W He RSS, 2024 | 5 | 2024 |
| Segment anything model is a good teacher for local feature learning J Wu, R Xu, Z Wood-Doughty, C Wang arXiv preprint arXiv:2309.16992, 2023 | 5 | 2023 |
| The development of llms for embodied navigation J Lin, H Gao, R Xu, C Wang, L Guo, S Xu arXiv preprint arXiv:2311.00530, 2023 | 4 | 2023 |
