Yu, Yizhou

60 publications

AAAI 2025 Autoregressive Sequence Modeling for 3D Medical Image Representation Siwen Wang, Churan Wang, Fei Gao, Lixian Su, Fandong Zhang, Yizhou Wang, Yizhou Yu

CVPR 2025 OverLoCK: An Overview-First-Look-Closely-Next ConvNet with Context-Mixing Dynamic Kernels Meng Lou, Yizhou Yu

ICCV 2025 Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis Peng Zheng, Junke Wang, Yi Chang, Yizhou Yu, Rui Ma, Zuxuan Wu

CVPR 2025 SegMAN: Omni-Scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation Yunxiang Fu, Meng Lou, Yizhou Yu

AAAI 2025 SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks Meng Lou, Yunxiang Fu, Yizhou Yu

NeurIPS 2025 Vision Function Layer in Multimodal LLMs Cheng Shi, Yizhou Yu, Sibei Yang

AAAI 2024 FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu

CVPR 2024 OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu

CVPR 2024 RegionGPT: Towards Region Understanding Vision Language Model Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu

ICCV 2023 Activate and Reject: Towards Safe Domain Generalization Under Category Shift Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu

ICLR 2023 Advancing Radiograph Representation Learning with Masked Record Modeling Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu

NeurIPS 2023 CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu

ICCV 2023 EGC: Image Generation and Classification via a Diffusion Energy-Based Model Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo

AAAI 2023 Geometry-Aware Network for Domain Adaptive Semantic Segmentation Yinghong Liao, Wending Zhou, Xu Yan, Zhen Li, Yizhou Yu, Shuguang Cui

CVPR 2023 Improved Distribution Matching for Dataset Condensation Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu

ICLR 2023 Learning Domain-Agnostic Representation for Disease Diagnosis Churan Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang

CVPR 2023 MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, Wenqiang Zhang

ICLR 2023 Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Bian Cheng, Yizhou Yu

AAAI 2023 RankDNN: Learning to Rank for Few-Shot Learning Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge

AAAI 2022 A Causal Debiasing Framework for Unsupervised Salient Object Detection Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, Yizhou Yu

AAAI 2022 A Causal Inference Look at Unsupervised Video Anomaly Detection Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu

CVPR 2022 Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-Shot Learning Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang

ECCV 2022 Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu

CVPR 2022 Compound Domain Generalization via Meta-Knowledge Encoding Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu

ICML 2022 Disentangling Disease-Related Representation from Obscure for Disease Prediction Chu-Ran Wang, Fei Gao, Fandong Zhang, Fangwei Zhong, Yizhou Yu, Yizhou Wang

NeurIPS 2022 Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu

ECCV 2022 Neighborhood Collective Estimation for Noisy Label Identification and Correction Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu

ECCV 2022 One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang

CVPR 2022 Scale-Equivalent Distillation for Semi-Supervised Object Detection Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo

CVPR 2021 Bottom-up Shift and Reasoning for Referring Image Segmentation Sibei Yang, Meng Xia, Guanbin Li, Hong-Yu Zhou, Yizhou Yu

CVPR 2021 Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization Haoyu Ma, Xiangru Lin, Zifeng Wu, Yizhou Yu

ICCVW 2021 ConvNets vs. Transformers: Whose Visual Representations Are More Transferable? Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu

CVPR 2021 Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu

ICCV 2021 Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu

ICCV 2021 GraphFPN: Graph Feature Pyramid Network for Object Detection Gangming Zhao, Weifeng Ge, Yizhou Yu

CVPR 2021 I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu

ICCV 2021 ME-PCN: Point Completion Conditioned on Mask Emptiness Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, Yizhou Yu

ICCV 2021 Multi-Scale Matching Networks for Semantic Correspondence Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu

IJCAI 2021 Noise2Grad: Extract Image Noise to Denoise Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu

ICCV 2021 Preservational Learning Improves Self-Supervised Medical Image Models by Reconstructing Diverse Contexts Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu

CVPR 2021 Refer-It-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, Shuguang Cui

CVPR 2021 Scene-Intuitive Agent for Remote Embodied Visual Grounding Xiangru Lin, Guanbin Li, Yizhou Yu

ECCV 2020 Propagating over Phrase Relations for One-Stage Visual Grounding Sibei Yang, Guanbin Li, Yizhou Yu

AAAI 2019 Non-Local Context Encoder: Robust Biomedical Image Segmentation Against Adversarial Attacks Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu

NeurIPS 2019 Transductive Zero-Shot Learning with Visual Structure Constraint Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao

ECCV 2018 Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song

CVPR 2017 Borrowing Treasures from the Wealthy: Deep Transfer Learning Through Selective Joint Fine-Tuning Weifeng Ge, Yizhou Yu

ICCV 2017 High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference Xiaoguang Han, Zhen Li, Haibin Huang, Evangelos Kalogerakis, Yizhou Yu

CVPR 2017 Instance-Level Salient Object Segmentation Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu

CVPR 2016 Deep Contrast Learning for Salient Object Detection Guanbin Li, Yizhou Yu

ECCV 2016 LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin

IJCAI 2016 Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks Zhen Li, Yizhou Yu

ICCV 2015 HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Yizhou Yu

ICCV 2015 Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification Ruobing Wu, Baoyuan Wang, Wenping Wang, Yizhou Yu

ICCV 2015 Piecewise Flat Embedding for Image Segmentation Yizhou Yu, Chaowei Fang, Zicheng Liao

CVPR 2015 Visual Saliency Based on Multiscale Deep Features Guanbin Li, Yizhou Yu

CVPR 2013 SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors Ruobing Wu, Yizhou Yu, Wenping Wang

CVPR 2012 Learning Image-Specific Parameters for Interactive Segmentation Zhanghui Kuang, Dirk Schnieders, Hao Zhou, Kwan-Yee Kenneth Wong, Yizhou Yu, Bo Peng

ECCV 2004 Reconstruction of 3-D Symmetric Curves from Perspective Images Without Discrete Features Wei Hong, Yi Ma, Yizhou Yu

ECCV 2002 Shadow Graphs and Surface Reconstruction Yizhou Yu, Johnny T. Chang