| Attention mechanisms in computer vision: A survey MH Guo, TX Xu, JJ Liu, ZN Liu, PT Jiang, TJ Mu, SH Zhang, RR Martin, ... Computational visual media 8 (3), 331-368, 2022 | 1855 | 2022 |
| LayerCAM: Exploring Hierarchical Class Activation Maps for Localization PT Jiang, CB Zhang, Q Hou, MM Cheng, Y Wei IEEE Transactions on Image Processing, 2021 | 650 | 2021 |
| Self-erasing Network for Integral Object Attention Q Hou, PT Jiang, Y Wei, MM Cheng Advances in Neural Information Processing Systems 31, 2018 | 332 | 2018 |
| Integral Object Mining via Online Attention Accumulation PT Jiang, Q Hou, Y Cao, MM Cheng, Y Wei, HK Xiong Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 264 | 2019 |
| Delving deep into label smoothing CB Zhang, PT Jiang, Q Hou, Y Wei, Q Han, Z Li, MM Cheng IEEE Transactions on Image Processing 30, 5984-5996, 2021 | 261 | 2021 |
| L2G: A simple local-to-global knowledge transfer framework for weakly supervised semantic segmentation PT Jiang, Y Yang, Q Hou, Y Wei Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 162 | 2022 |
| Online Attention Accumulation for Weakly Supervised Semantic Segmentation PT Jiang, LH Han, Q Hou, MM Cheng, Y Wei IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 7062 …, 2021 | 73 | 2021 |
| DEL: Deep Embedding Learning for Efficient Image Segmentation Y Liu, PT Jiang, V Petrosyan, SJ Li, LZ Bian, Jiawang, MM Cheng IJCAI 864, 870, 2018 | 58 | 2018 |
| Segment anything is a good pseudo-label generator for weakly supervised semantic segmentation PT Jiang, Y Yang arXiv preprint arXiv:2305.01275, 2023 | 25 | 2023 |
| Multi-Task Dense Prediction via Mixture of Low-Rank Experts Y Yang, PT Jiang, Q Hou, H Zhang, J Chen, B Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 17 | 2024 |
| Looking through the glass: Neural surface reconstruction against high specular reflections J Qiu, PT Jiang, Y Zhu, ZX Yin, MM Cheng, B Ren Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| Deeply Explain CNN via Hierarchical Decomposition MM Cheng, PT Jiang, LH Han, L Wang, P Torr International Journal of Computer Vision, 2023, 2022 | 11 | 2022 |
| RDNeRF: Relative Depth Guided NeRF for Dense Free View Synthesis J Qiu, Y Zhu, PT Jiang, MM Cheng, B Ren The Visual Computer, 1-13, 2023 | 7 | 2023 |
| Beta-tuned timestep diffusion model T Zheng, PT Jiang, B Wan, H Zhang, J Chen, J Wang, B Li European Conference on Computer Vision, 114-130, 2025 | 6 | 2025 |
| Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification H Yuan, C Hong, PT Jiang, G Zhao, NTA Tran, X Xu, YY Yan, N Liu Journal of Biomedical Informatics, 104673, 2024 | 6 | 2024 |
| Human-guided design to explain deep learning-based pneumothorax classifier H Yuan, PT Jiang, G Zhao Medical Imaging with Deep Learning, short paper track, 2023 | 6 | 2023 |
| Non-uniform timestep sampling: Towards faster diffusion model training T Zheng, C Geng, PT Jiang, B Wan, H Zhang, J Chen, J Wang, B Li Proceedings of the 32nd ACM International Conference on Multimedia, 7036-7045, 2024 | 5 | 2024 |
| Chain of visual perception: Harnessing multimodal large language models for zero-shot camouflaged object detection L Tang, PT Jiang, ZH Shen, H Zhang, JW Chen, B Li Proceedings of the 32nd ACM International Conference on Multimedia, 8805-8814, 2024 | 5 | 2024 |
| Revisiting Single Image Reflection Removal In the Wild Y Zhu, X Fu, PT Jiang, H Zhang, Q Sun, J Chen, ZJ Zha, B Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
| Generalization and Hallucination of Large Vision-Language Models through a Camouflaged Lens L Tang, PT Jiang, Z Shen, H Zhang, J Chen, B Li arXiv preprint arXiv:2311.11273, 2023 | 5 | 2023 |
Ming-Ming ChengProfessor of Computer Science, Nankai UniversityVerified email at nankai.edu.cn
