Liu Z, Li Z, Jiang T. BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion, in Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-. AAAI Press; 2024:3846–3854. 访问链接

Shi R, Duan L, Huang T, Jiang T. Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images, in Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-. AAAI Press; 2024:4847–4855. 访问链接

Ye W, Li Z, Jiang T. VIPNet: Combining Viewpoint Information and Shape Priors for Instant Multi-view 3D Reconstruction, in Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part IX.Vol 15480. Springer; 2024:38–54. 访问链接

Liu Y, Yang C, Li D, Ding J, Jiang T. Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization, in IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024. IEEE; 2024:25554–25563. 访问链接

Zhong Y, Wu X, Zhang L, Yang C, Jiang T. Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference, in Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024. OpenReview.net; 2024. 访问链接

Shi R, Pang Q, Ma L, Duan L, Huang T-J, Jiang T. ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation, in Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XII.Vol 15012. Springer; 2024:731–741. 访问链接

Li Z, Shi R, Huang T, Jiang T. OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation, in IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023. IEEE; 2023:1–5. 访问链接

Li Z, Ye W, Terven JR, Bennett Z, Zheng Y, Jiang T, Huang T. MUVA: A New Large-Scale Benchmark for Multi-view Amodal Instance Segmentation in the Shopping Scenario, in IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023. IEEE; 2023:23447–23456. 访问链接

Liu D, Li Q, Dinh A-D, Jiang T, Shah M, Xu C. Diffusion Action Segmentation, in IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023. IEEE; 2023:10105–10115. 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, Padua, Italy, July 18-23, 2022. 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 Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part IV.Vol 13844. Springer; 2022:417–432. 访问链接

Li Z, Ye W, Jiang T, Huang T-J. 2D Amodal Instance Segmentation Guided by 3D Shape Prior, in Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXIX.Vol 13689. Springer; 2022:165–181. 访问链接

Yi F, Wen H, Jiang T. ASFormer: Transformer for Action Segmentation, in 32nd British Machine Vision Conference 2021, BMVC 2021, Online, November 22-25, 2021. 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 Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII.Vol 12907. 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 MM '21: ACM Multimedia Conference, Virtual Event, China, October 20 - 24, 2021. 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, virtual, June 19-25, 2021. Computer Vision Foundation / IEEE; 2021:9522–9531. 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 MM '20: The 28th ACM International Conference on Multimedia, Virtual Event / Seattle, WA, USA, October 12-16, 2020. ACM; 2020:789–797. 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, Snowmass Village, CO, USA, March 1-5, 2020. 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, Snowmass Village, CO, USA, March 1-5, 2020. IEEE; 2020:708–717. 访问链接

Liu Z, Xiong R, Jiang T. Clinical-Inspired Network for Skin Lesion Recognition, in Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI.Vol 12266. Springer; 2020:340–350. 访问链接