- Ruohua Shi, Lingyu Duan, Tiejun Huang, Tingting Jiang. Evidential Uncertainty-guided Mitochondria Segmentation for 3D EM Images, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2024.
[pdf]
[poster]
- Zhaochen Liu*, Zhixuan Li*, Tingting Jiang. BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2024.
[pdf]
[slide]
[poster]
- Yujia Liu*, Chenxi Yang*, Dingquan Li, Jianhao Ding, Tingting Jiang, Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, June 2024.
[pdf]
[poster]
- Ruohua Shi*, Zhaochen Liu*, Lingyu Duan, Tingting Jiang. Amodal Segmentation for Laparoscopic Surgery Video Instruments. The International Conference on Sensing and Imaging (ICSI). Huangshan City, China, August 23-27, 2024
[pdf]
- Ruohua Shi, Qiufan Pang, Lei Ma, Lingyu Duan, Tingting Jiang, Tiejun Huang. ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation. The 27th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Marrakech, Morocoo, October, 2024.
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- Yan Zhong, Xingyu Wu, Li Zhang, Chenxi Yang and Tingting Jiang, Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference, Forty-first International Conference on Machine Learning (ICML), Vienna, Austria, July 2024.
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[poster]
- Chao Liu, Xueqing Yu, Dingyu Wang and Tingting Jiang, ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology, International Conference on Medical Image Computing and Computer-Assisted Intervention(MICCAI). Marrakech, Morocoo, October, 2024.
[pdf]
[poster]
- Zhixuan Li, Ruohua Shi, Tiejun Huang, and Tingting Jiang, OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation, International Conference on Acoustics, Speech, & Signal Processing (ICASSP), Rhodes Island, Greece, June 2023, pp. 1-5.
[pdf]
[slide]
[poster]
- Zhixuan Li, Weining Ye, Juan Terven, Zachary Bennett, Ying Zheng, Tingting Jiang, Tiejun Huang, MUVA: A New Large-Scale Benchmark for Multi-view Amodal Instance Segmentation in the Shopping Scenario, International Conference on Computer Vision (ICCV), Paris, France, October 2023, pp. 23447-23456.
[pdf]
- Daochang Liu and Qiyue Li and AnhDung Dinh and Tingting Jiang and Mubarak Shah, Chang Xu, Diffusion Action Segmentation, International Conference on Computer Vision (ICCV), Paris, France, October 2023,pp.10139-10149.
[pdf]
- Yujia Liu, Ming Jiang, Tingting Jiang, LabelFool: A Trick in the Label Space, International Joint Conference on Neural Networks (IJCNN), Padua, Italy, July 2022, pp.1--8.
[pdf]
[code]
[poster]
- Zhixuan Li, Weining Ye, Tingting Jiang, and Tiejun Huang, 2D Amodal Instance Segmentation Guided by 3D Shape Prior, European Conference on Computer Vision (ECCV), Tel Aviv, Israel, October 2022, pp. 165-181.
[pdf]
[slide]
[poster]
- Fangqiu Yi*, Yanfeng Yang*, and Tingting Jiang, Not End-to-End: Explore Multi-Stage Architecture for Online Surgical Phase Recognition, Asian Conference on Computer Vision (ACCV), December 2022, pp. 417-432.
[pdf]
[poster]
- Wenkang Qin, Rui Xu, Shan Jiang, Tingting Jiang, Lin Luo, PathTR: Context-Aware Memory Transformer for Tumor Localization in Gigapixel Pathology Images, Asian Conference on Computer Vision (ACCV), December 2022, pp. 3603-3619.
[pdf]
- Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan and Ziyu Li, Towards Unified Surgical Skill Assessment, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), virtual, June 2021, pp. 9522--9531.
[pdf]
[code]
[slide]
[poster]
- Dingquan Li, Tingting Jiang, Ming Jiang, Vajira Lasantha Thambawita, and Haoliang Wang. Reproducibility Companion Paper: Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment. ACM International Conference on Multimedia (ACM MM), Virtual, China, October 2021, pp. 3615--3618.
[pdf]
[code]
- Zihao Liu, Ruiqin Xiong, Tingting Jiang. Multi-level Relationship Capture Network for
Automated Skin Lesion Recognition. International Conference On Medical Image Computing and Computer Assisted Intervention (MICCAI), October 2021, Virtual.
[pdf]
[slide]
[poster]
- Fangqiu Yi , Hongyu Wen and Tingting Jiang. ASFormer: Transformer for Action Segmentation. The British Machine Vision Conference (BMVC), Virtual, November 2021, pp. 1-15.
[pdf]
[slide]
- Jiahe Li, Xu Gao, and Tingting Jiang. Graph Networks for Multiple Object Tracking. Winter Conference on Applications of Computer Vision (WACV), Snowmass Village, CO, USA, March 2020, pp. 708--717.
[pdf]
[code]
[slide]
[poster]
- Sheng Li, Tingting Jiang, Tiejun Huang, and Yonghong Tian. Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-Based Action Recognition. Winter Conference on Applications of Computer Vision (WACV), Snowmass Village, CO, USA, March 2020, pp. 575--583.
[pdf]
[code]
[slide]
[poster]
- Daochang Liu*, Yuhui Wei*, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, and Ziyu Li, Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion, Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, October 2020, pp. 657--667.
[pdf]
[code]
[slide]
[poster]
- Dingquan Li, Tingting Jiang, and Ming Jiang. Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment. ACM International Conference on Multimedia (ACM MM), Seattle, WA, USA, October 2020, pp. 789--797.
[pdf]
[code]
[slide]
[poster]
- Zihao Liu, Ruiqin Xiong and Tingting Jiang. Clinical-Inspired Network for Skin Lesion Recognition. International Conference On Medical Image Computing and Computer Assisted Intervention (MICCAI), October 2020, Virtual
[pdf]
[slide]
[poster]
- Zihao Liu, Haihao Pan, Chen Gong, Zejia Fan, Yujie Wen, Tingting Jiang,
Ruiqin Xiong, Hang Li, and Yang Wang. Multi-class Skin Lesion Segmentation for Cutaneous
T-cell Lymphomas on High-Resolution Clinical Images. International Conference On Medical Image Computing and Computer Assisted Intervention (MICCAI), October 2020, Virtual
[pdf]
[slide]
[poster]
- Daochang Liu, Tingting Jiang, and Yizhou Wang, Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 2019, pp. 1298--1307.
[pdf]
[code]
[slide]
[poster]
- Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, and Ziyu Li, Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field, Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, October 2019, Oral, pp. 476--484.
[pdf]
[slide]
[poster]
- Chen Huang, Tingting Jiang, and Ming Jiang, Encoding Distortions for Multi-Task Full-Reference Image Quality Assessment, IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, July 2019, pp. 1864--1869.
[pdf]
- Dingquan Li, Tingting Jiang, and Ming Jiang. Quality Assessment of In-the-Wild Videos. ACM International Conference on Multimedia (ACM MM), Nice, France, October 2019, pp. 2351--2359.
[pdf]
[code]
[slide]
[poster]
- Fangqiu Yi, Tingting Jiang. Hard Frame Detection and Online Mapping for Surgical Phase Recognition, Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, October 2019, pp. 449--457.
[pdf]
[code]
- Sheng Li, Tingting Jiang, Yonghong Tian, and Tiejun Huang. 3D Human Skeleton Data Compression for Action Recognition, IEEE Visual Communications and Image Processing (VCIP), Sydney, Australia, December 2019, pp. 1--4.
[pdf]
[poster]
- Xu Gao, Tingting Jiang. OSMO: Online Specific Models for Occlusion in Multiple Object Tracking Under Surveillance Scene. ACM International Conference on Multimedia (ACM MM), Seoul, Republic of Korea, October 2018, pp. 201--210.
[pdf]
[code]
[slide]
[poster]
- Qin He, Dingquan Li, Tingting Jiang, and Ming Jiang. Quality Assessment for Tone-Mapped HDR Images Using Multi-Scale and Multi-Layer Information. IEEE International Conference on Multimedia and Expo
Workshop (ICMEw), San Diego, CA, USA, July 2018, pp. 1--6.
[pdf]
[code]
- Daochang Liu and Tingting Jiang, Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification, Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, September 2018, pp. 247--255.
[pdf]
[code]
[poster]
- Feng Qi, Tingting Jiang, Jian Zhang, Huizhu Jia and Xilin Chen, A 3D Visual Comfort Metric Based on Binocular Asymmetry Factor, IEEE Fourth International Conference on Multimedia Big Data (BigMM), Xi'an, China, September 2018, pp. 1--4.
[pdf]
- Dingquan Li, Tingting Jiang, and Ming Jiang, Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur Images, ACM International Conference on Multimedia (ACM MM), Mountain View, CA, USA, October 2017, pp. 378--386.
[pdf]
[code]
[slide]
[poster]
- Wen Heng, Tingting Jiang, Surveillance Video Quality Assessment Based on Face Recognition, Thematic Workshop of ACM International Conference on Multimedia (ACM MMw), Mountain View, CA, USA, October 2017, pp. 520--528.
[pdf]
- Zhiwei Fan, Congliang Chen, and Tingting Jiang, A Semi-Automatic Editing Method for Surgery Videos, International IEEE Workshop on Multimedia Services and Technologies for E-health (MUST-EH), Hong Kong, China, July 2017, pp. 115--120.
[pdf]
- Wen Heng, Tingting Jiang, From Image Quality to Patch Quality: An Image-Patch Model for No-Reference Image Quality Assessment, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, March 2017, pp. 1238--1242.
[pdf]
- Dingquan Li and Tingting Jiang. Blur-Specific No-Reference Image Quality Assessment: A Classification and Review of Representative Methods, International Conference on Sensing and Imaging (ICSI), 2017.
[pdf]
- Shu Yang, Junzhe Zhao, Tingting Jiang, Jing Wang, Tariq Rahim, Bo Zhang, Zhaoji Xu, and Zesong Fei, An Objective Assessment Method Based on Multi-level Factors for Panoramic Videos, IEEE Visual Communications and Image Processing (VCIP), St. Petersburg, FL, USA, December 2017, pp. 1--4.
[pdf]
- Zhaoxiong Cui, Tingting Jiang, No-Reference Video Shakiness Quality Assessment, Asian Conference on Computer Vision (ACCV), 2016.
[pdf]
- Yeji Shen, Tingting Jiang, Ranking Consistent Rate: New Evaluation Criterion on Pairwise Subjective Experiments, International Conference on Image Processing (ICIP), Phoenix, AZ, USA, September 2016, pp. 2077-2081.
[pdf]
- Xiang Zhang, Shiqi Wang, Ke Gu, Tingting Jiang, Siwei Ma and Wen Gao, Sparse Structural Similarity for Objective Image Quality Assessment, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kowloon Tong, Hong Kong, October 2015, pp. 1561--1566.
[pdf]
- Tingting Jiang, Zhao Zhang, Yuansheng Xu, Yichong Bai, and Yizhou Wang, First-Person Multiple Object Tracking in Complex Traffic Scenes, International Conference on Image Processing (ICIP), Paris, France, October 2014, pp. 2343--2347.
[pdf]
- Zhiwei Fan, Tingting Jiang, Subjective Quality Assessment of Mobile 3D Videos, International Workshop on Quality of Multimedia Experience (QoMEX), Singapore, September 2014, pp. 226--231.
[pdf]
- Zhengying Chen, Tingting Jiang, and Yonghong Tian, Quality Assessment for Comparing Image Enhancement Algorithms, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, OH, USA, June 2014, pp. 3003--3010.
[pdf]
- Chang Ma, Zhongqian Dong, Tingting Jiang, Yizhou Wang and Wen Gao, A Method of Perceptual-Based Shape Decomposition, International Conference on Computer Vision (ICCV), Sydney, Australia, December 2013.
[pdf]
- Feng Qi, Tingting Jiang, Xiaopeng Fan, Siwei Ma, and Debin Zhao, Stereoscopic Video Quality Assessment Based on Stereo Just-Noticeable Difference Model, International Conference on Image Processing (ICIP), Melbourne, Australia, September 2013, pp. 34--38.
[pdf]
- Tingting Jiang, Zhongqian Dong, Chang Ma, and Yizhou Wang, Toward Perception-Based Shape Decomposition, Asian Conference on Computer Vision (ACCV), Daejeon, Korea, November 2012, pp. 188--201.
[pdf]
- Yue Wang, Tingting Jiang, Siwei Ma, and Wen Gao, Spatio-Temporal SSIM Index for Video Quality Assessment, Visual Communications and Image Processing(VCIP), San Diego, CA, USA, November 2012, pp. 1--6.
[pdf]
- Jingjing Han,Tingting Jiang, and Siwei Ma, Stereoscopic Video Quality Assessment Model Based on Spatial-Temporal Structural Information, IEEE Visual Communications and Image Processing (VCIP), San Diego, CA, USA, November 2012, pp. 1--6.
[pdf]
- Feng Qi, Tingting Jiang, Siwei Ma, and Debin Zhao, Quality of Experience Assessment for Stereoscopic Images, IEEE International Symposium on Circuits and Systems (ISCAS), Seoul, Korea (South), May 2012, pp. 1712--1715.
[pdf]
- Ge Guo, Yizhou Wang, Tingting Jiang, Alan Yuille, and Wen Gao, Computing Importance of 2D Contour Parts by Reconstructability, International Conference on Computer Vision Workshop (ICCVw), Barcelona, Spain, November 2011, pp. 1364--1371.
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- Qianqian Xu, Tingting Jiang, Yuan Yao, Qingming Huang, Bowei Yan, and Weisi Lin, Random Partial Paired Comparison for Subjective Video Quality Assessment via HodgeRank, ACM International Conference on Multimedia (ACM MM), Scottsdale, AZ, USA, November 2011, pp. 393--402.
[pdf]
- Xiaoming Li, Yue Wang, Debin Zhao, Tingting Jiang, and Nan Zhang, Joint Just Noticeable Difference Model Based on Depth Perception for Stereoscopic Images, Visual Communications and Image Processing (VCIP), Tainan, Taiwan, November 2011, pp. 1--4.
[pdf]
- Zhebin Zhang, Yizhou Wang, Tingting Jiang, and Wen Gao, Visual Pertinent 2D-to-3D Video Conversion by Multi-Cue Fusion, International Conference on Image Processing (ICIP), Brussels, Belgium, September 2011, pp. 909--912.
[pdf]
- Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang, Fang Fang, and Yuan Yao, Simulating Human Saccadic Scanpaths on Natural Images, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, USA, June 2011, pp. 441--448.
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- Liang Wang, Yizhou Wang, Tingting Jiang, and Wen Gao, Instantly Telling What Happens in a Video Sequence Using Simple Features, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, USA, June 2011, pp. 3257--3264.
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- Zhebin Zhang, Yizhou Wang, Tingting Jiang, and Wen Gao, Stereoscopic Learning for Disparity Estimation, IEEE International Symposium on Circuits and Systems (ISCAS), Rio de Janeiro, Brazil, May 2011, pp. 365--368.
[pdf]
- Yue Wang, Tingting Jiang, Siwei Ma and Wen Gao, Image Quality Assessment Based on Local Orientation Distribution, Picture Coding Symposium (PCS), Nagoya, Japan, December 2010, pp. 274--277.
[pdf]
- Ge Guo, Tingting Jiang, Yizhou Wang and Wen Gao, Finding Multiple Object Instances With Occlusion, International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, August 2010, pp. 3878--3881.
[pdf]
- Tingting Jiang, Frederic Jurie and Cordelia Schmid, Learning Shape Prior Models for Object Matching, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, USA, June 2009, pp. 848--855.
[pdf]
- Tingting Jiang and Carlo Tomasi, Robust Shape Normalization Based on Implicit Representations, International Conference on Pattern Recognition (ICPR), Tampa, Florida, USA, December 2008, pp. 1--4.
[pdf]
- Tingting Jiang and Carlo Tomasi, Finite-Element Level-Set Curve Particles, International Conference on Computer Vision Workshop (ICCVw) on Non-rigid Registration and Tracking through Learning, Rio de Janeiro, Brazil, October 2007, pp. 1--7.
[pdf]
- Tingting Jiang, Carlo Tomasi and Scott C. Schmidler, How to Dispatch Observers to Track an Evolving Boundary, International Conference on Distributed Smart Cameras (ICDSC), Vienna, Austria, September 2007, pp. 305--312.
[pdf]
- Tingting Jiang and Carlo Tomasi, Level-Set Curve Particles, European Conference on Computer Vision (ECCV), Graz, Austria, May 2006, pp. 633--644.
[pdf]
- David Hsu, Tingting Jiang, John H. Reif, and Zheng Sun, The Bridge Test for Sampling Narrow Passages with Probabilistic Roadmap Planners, IEEE International Conference on Robotics and Automation (ICRA), Taipei, Taiwan, September 2003, pp. 4420--4426.
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