Jiang, Tingting

22 publications

ICML 2025 Semi-Supervised Blind Quality Assessment with Confidence-Quantifiable Pseudo-Label Learning for Authentic Images Yan Zhong, Chenxi Yang, Suyuan Zhao, Tingting Jiang
CVPR 2025 Towards Efficient Foundation Model for Zero-Shot Amodal Segmentation Zhaochen Liu, Limeng Qiao, Xiangxiang Chu, Lin Ma, Tingting Jiang
ICLR 2024 Adaptive Deep Spiking Neural Network with Global-Local Learning via Balanced Excitatory and Inhibitory Mechanism Tingting Jiang, Qi Xu, Xuming Ran, Jiangrong Shen, Pan Lv, Qiang Zhang, Gang Pan
AAAI 2024 BLADE: Box-Level Supervised Amodal Segmentation Through Directed Expansion Zhaochen Liu, Zhixuan Li, Tingting Jiang
ICML 2024 Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference Yan Zhong, Xingyu Wu, Li Zhang, Chenxi Yang, Tingting Jiang
CVPR 2024 Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization Yujia Liu, Chenxi Yang, Dingquan Li, Jianhao Ding, Tingting Jiang
AAAI 2024 Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images Ruohua Shi, Lingyu Duan, Tiejun Huang, Tingting Jiang
ICCV 2023 Diffusion Action Segmentation Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
ICCV 2023 MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario Zhixuan Li, Weining Ye, Juan Terven, Zachary Bennett, Ying Zheng, Tingting Jiang, Tiejun Huang
AAAI 2023 Real-World Deep Local Motion Deblurring Haoying Li, Ziran Zhang, Tingting Jiang, Peng Luo, Huajun Feng, Zhihai Xu
ECCV 2022 2D Amodal Instance Segmentation Guided by 3D Shape Prior Zhixuan Li, Weining Ye, Tingting Jiang, Tiejun Huang
CVPR 2021 Towards Unified Surgical Skill Assessment Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
WACV 2020 Global Co-Occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-Based Action Recognition Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian
WACV 2020 Graph Networks for Multiple Object Tracking Jiahe Li, Xu Gao, Tingting Jiang
AISTATS 2016 Unsupervised Ensemble Learning with Dependent Classifiers Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, Yuval Kluger
CVPR 2014 Quality Assessment for Comparing Image Enhancement Algorithms Zhengying Chen, Tingting Jiang, Yonghong Tian
ICCV 2013 A Method of Perceptual-Based Shape Decomposition Chang Ma, Zhongqian Dong, Tingting Jiang, Yizhou Wang, Wen Gao
CVPR 2011 Instantly Telling What Happens in a Video Sequence Using Simple Features Liang Wang, Yizhou Wang, Tingting Jiang, Wen Gao
CVPR 2011 Simulating Human Saccadic Scanpaths on Natural Images Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang, Fang Fang, Yuan Yao
CVPR 2009 Learning Shape Prior Models for Object Matching Tingting Jiang, Frédéric Jurie, Cordelia Schmid
ICCV 2007 Finite-Element Level-Set Curve Particles Tingting Jiang, Carlo Tomasi
ECCV 2006 Level-Set Curve Particles Tingting Jiang, Carlo Tomasi