Tian, Yu

35 publications

ICLR 2026 MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation Ye Tian, Ling Yang, JiongFan Yang, Anran Wang, Yu Tian, Jiani Zheng, Haochen Wang, Zhiyang Teng, Zhuochen Wang, Yinjie Wang, Yunhai Tong, Mengdi Wang, Xiangtai Li

AAAI 2025 AI-Generated Image Quality Assessment in Visual Communication Yu Tian, Yixuan Li, Baoliang Chen, Hanwei Zhu, Shiqi Wang, Sam Kwong

JMLR 2025 Curvature-Based Clustering on Graphs Yu Tian, Zachary Lubberts, Melanie Weber

AAAI 2025 Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis Chengzhi Liu, Zile Huang, Zhe Chen, Feilong Tang, Yu Tian, Zhongxing Xu, Zihong Luo, Yalin Zheng, Yanda Meng

WACV 2025 VMAs: Video-to-Music Generation via Semantic Alignment in Web Music Videos Yan-Bo Lin, Yu Tian, Linjie Yang, Gedas Bertasius, Heng Wang

CVPR 2024 Anomaly Heterogeneity Learning for Open-Set Supervised Anomaly Detection Jiawen Zhu, Choubo Ding, Yu Tian, Guansong Pang

ICLR 2024 AnomalyCLIP: Object-Agnostic Prompt Learning for Zero-Shot Anomaly Detection Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen

CVPR 2024 FairCLIP: Harnessing Fairness in Vision-Language Learning Yan Luo, Min Shi, Muhammad Osama Khan, Muhammad Muneeb Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, Luo Song, Ava Kouhana, Tobias Elze, Yi Fang, Mengyu Wang

ECCV 2024 FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang

ICLR 2024 FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang

ICCV 2023 BoMD: Bag of Multi-Label Descriptors for Noisy Chest X-Ray Classification Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro

ICCV 2023 Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang

ICLR 2023 HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-Aware Attention Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang

NeurIPSW 2023 How Robust Is Google's Bard to Adversarial Image Attacks? Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu

ICCV 2023 Learning Support and Trivial Prototypes for Interpretable Image Classification Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis McCarthy, Helen Frazer, Gustavo Carneiro

ICCV 2023 Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

CVPR 2023 Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang

ICCV 2023 Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? Cheng-En Wu, Yu Tian, Haichao Yu, Heng Wang, Pedro Morgado, Yu Hen Hu, Linjie Yang

CVPR 2022 ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro

WACV 2022 AE-StyleGAN: Improved Training of Style-Based Auto-Encoders Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris Metaxas

AAAI 2022 Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro

ECCV 2022 Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas

IJCAI 2022 Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting Yu Tian, Xingliang Huang, Ruigang Niu, Hongfeng Yu, Peijin Wang, Xian Sun

NeurIPSW 2022 Mixed-Membership Community Detection via Line Graph Curvature Yu Tian, Zachary Lubberts, Melanie Weber

CVPR 2022 Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro

ECCV 2022 Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro

ICLR 2021 A Good Image Generator Is What You Need for High-Resolution Video Synthesis Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris N. Metaxas, Sergey Tulyakov

ICCV 2021 Dual Projection Generative Adversarial Networks for Conditional Image Generation Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas

ICCV 2021 Weakly-Supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

NeurIPS 2019 Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian, Long Zhao, Xi Peng, Dimitris Metaxas

CVPR 2019 Semantic Graph Convolutional Networks for 3D Human Pose Regression Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas

IJCAI 2018 CR-GAN: Learning Complete Representations for Multi-View Generation Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas

ECCV 2018 Learning to Forecast and Refine Residual Motion for Image-to-Video Generation Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris Metaxas

ICCV 2013 Joint Optimization for Consistent Multiple Graph Matching Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Stephen M. Chu

ECCV 2012 On the Convergence of Graph Matching: Graduated Assignment Revisited Yu Tian, Junchi Yan, Hequan Zhang, Ya Zhang, Xiaokang Yang, Hongyuan Zha