科研成果

2022
Liu Z, Li Z, Hu Z, Xia Q, Xiong R, Zhang S, Jiang T. Contrastive and Selective Hidden Embeddings for Medical Image Segmentation. IEEE Transations on Medical Imaging [Internet]. 2022;41:3398–3410. 访问链接
Liu Y, Jiang M, Jiang T. LabelFool: A Trick In The Label Space, in International Joint Conference on Neural Networks, IJCNN 2022, July 18-23. Padua, Italy: IEEE; 2022:1–8. 访问链接
Yi F, Yang Y, Jiang T. Not End-to-End: Explore Multi-Stage Architecture for Online Surgical Phase Recognition, in The 16th Asian Conference on Computer Vision, ACCV 2022, December 4-8.Vol 13844. Macao, China: Springer; 2022:417–432. 访问链接
Shi R, Wang W, Li Z, He L, Sheng K, Ma L, Du K, Jiang T, Huang T. U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms. Frontiers in Computational Neuroscience [Internet]. 2022;16:842760. 访问链接
Qin W, Xu R, Jiang S, Jiang T, Luo L. PathTR: Context-Aware Memory Transformer for Tumor Localization in Gigapixel Pathology Images, in Asian Conference on Computer Vision, ACCV 2022, December 4-8. Macao, China; 2022:3603-3619. 访问链接
Liu Y, Jiang M, Jiang T. Transferable Adversarial Examples based on Global Smooth Perturbations. Computers & Security [Internet]. 2022;121:102816. 访问链接
2021
Roß T, Reinke A, Full PM, Wagner M, Kenngott H, Apitz M, Hempe H, M\^ındroc-Filimon D, Scholz P, Tran TN, et al. Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. Medical Image Analysis [Internet]. 2021;70:101920. 访问链接
Li D, Jiang T, Jiang M. Unified Quality Assessment of in-the-Wild Videos with Mixed Datasets Training. International Journal of Computer Vision [Internet]. 2021;129:1238–1257. 访问链接
Yi F, Wen H, Jiang T. ASFormer: Transformer for Action Segmentation, in The 32nd British Machine Vision Conference, BMVC 2021, November 22-25. Online: BMVA Press; 2021:236. 访问链接
Liu Z, Xiong R, Jiang T. Multi-level Relationship Capture Network for Automated Skin Lesion Recognition, in The 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, September 27 - October 1.Vol 12907. Strasbourg, France: Springer; 2021:153–164. 访问链接
Li D, Jiang T, Jiang M, Thambawita VL, Wang H. Reproducibility Companion Paper: Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment, in ACM Multimedia Conference, October 20 - 24. Virtual Event: ACM; 2021:3615–3618. 访问链接
Liu D, Li Q, Jiang T, Wang Y, Miao R, Shan F, Li Z. Towards Unified Surgical Skill Assessment, in IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, June 19-25. Virtual: Computer Vision Foundation / IEEE; 2021:9522–9531. 访问链接
2020
Liu D, Jiang T, Wang Y, Miao R, Shan F, Li Z. Clearness of Operating Field: a Surrogate for Surgical Skills on In Vivo Clinical Data. International Journal of Computer Assisted Radiology and Surgery [Internet]. 2020;15:1817–1824. 访问链接
Liu Z, Xiong R, Jiang T. Clinical-Inspired Network for Skin Lesion Recognition, in The 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020, October 4-8.Vol 12266. Lima, Peru: Springer; 2020:340–350. 访问链接
Li S, Jiang T, Huang T, Tian YH. Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition, in IEEE Winter Conference on Applications of Computer Vision, WACV 2020, March 1-5. Snowmass Village, CO, USA: IEEE; 2020:575–583. 访问链接
Li J, Gao X, Jiang T. Graph Networks for Multiple Object Tracking, in IEEE Winter Conference on Applications of Computer Vision, WACV 2020, March 1-5. Snowmass Village, CO, USA: IEEE; 2020:708–717. 访问链接
Liu Z, Pan H, Gong C, Fan Z, Wen Y, Jiang T, Xiong R, Li H, Wang Y. Multi-class Skin Lesion Segmentation for Cutaneous T-cell Lymphomas on High-Resolution Clinical Images, in The 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020, October 4-8.Vol 12266. Lima, Peru: Springer; 2020:351–361. 访问链接
Li D, Jiang T, Jiang M. Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment, in The 28th ACM International Conference on Multimedia, October 12-16. Virtual Event / Seattle, WA, USA: ACM; 2020:789–797. 访问链接
Liu D, Wei Y, Jiang T, Wang Y, Miao R, Shan F, Li Z. Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion, in The 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020, October 4-8.Vol 12263. Lima, Peru: Springer; 2020:657–667. 访问链接
2019
Liu D, Jiang T, Wang Y. Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization, in IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, June 16-20. Long Beach, CA, USA: Computer Vision Foundation / IEEE; 2019:1298–1307. 访问链接

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