Yizhou Yu's Publications

Selected Publications

  1. Yunxiang Fu, Chaoqi Chen, and Yizhou Yu. LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba. arXiv:2408.02615, August 2024. (Code Release)

  2. Meng Lou, Hong-Yu Zhou, Sibei Yang, and Yizhou Yu. TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition. arXiv:2310.19380, October 2023. (Code Release)

  3. Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, and Yizhou Yu. A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. [BibTex]

  4. Haoyu Ma, Xiangru Lin, and Yizhou Yu. I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 46, No 3, pp.1695-1710, 2024. [BibTex]

  5. Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Xiaoguang Han, Lequan Yu, Liansheng Wang, and Yizhou Yu. nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer. IEEE Transactions on Image Processing (TIP), Vol 32, pp.4036-4045, 2023. [BibTex] (Code Release)

  6. Hong-Yu Zhou, Chixiang Lu, Sibei Yang, and Yizhou Yu. ConvNets vs. Transformers: Whose Visual Representations Are More Transferable? ICCV Workshop on Deep Multi-Task Learning in Computer Vision, October 2021. [BibTex]

  7. Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, and Sifei Liu. RegionGPT: Towards Region Understanding Vision Language Model. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, June 2024.

  8. Ganlong Zhao, Guanbin Li, Weikai Chen, and Yizhou Yu. OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, June 2024.

  9. Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, and Yizhou Yu. FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. 38th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, February 2024.

  10. Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, and Yizhou Yu. CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation. 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, December 2023.

  11. Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, and Yizhou Yu. Activate and Reject: Towards Safe Domain Generalization under Category Shift. IEEE International Conference on Computer Vision (ICCV), Paris, October 2023.

  12. Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, and Ping Luo. EGC: Image Generation and Classification via a Diffusion Energy-Based Model. IEEE International Conference on Computer Vision (ICCV), Paris, October 2023. (Code Release)

  13. Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, and Yizhou Yu. A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 45, No 7, pp.8020-8035, 2023. (Code Release)

  14. Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, and Wenqiang Zhang. MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, June 2023.

  15. Ganlong Zhao, Guanbin Li, Yipeng Qin, and Yizhou Yu. Improved Distribution Matching for Dataset Condensation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, June 2023.

  16. Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, and Yizhou Yu. Advancing Radiograph Representation Learning with Masked Record Modeling. International Conference on Learning Representations (ICLR), Kigali (Rwanda), May 2023. (Code Release)

  17. Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, and Yizhou Wang. Learning Domain-Agnostic Representation for Disease Diagnosis. International Conference on Learning Representations (ICLR), Kigali (Rwanda), May 2023.

  18. Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, and Yizhou Yu. Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning. International Conference on Learning Representations (ICLR), Kigali (Rwanda), May 2023. (Code Release)

  19. Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, and Yizhou Yu. Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 45, No 3, pp.3677-3694, 2023.

  20. Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, and Weifeng Ge. RankDNN: Learning to Rank for Few-Shot Learning. 37th AAAI Conference on Artificial Intelligence (AAAI), Washington DC, February 2023.

  21. Yinghong Liao, Wending Zhou, Xu Yan, Zhen Li, Yizhou Yu, and Shuguang Cui. Geometry-Aware Network for Domain Adaptive Semantic Segmentation. 37th AAAI Conference on Artificial Intelligence (AAAI), Washington DC, February 2023.

  22. Tan Yu, Gangming Zhao, Ping Li, and Yizhou Yu. BOAT: Bilateral Local Attention Vision Transformer. The 33rd British Machine Vision Conference (BMVC), London, November 2022. (Code Release)

  23. Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, and Yizhou Yu. Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, November 2022.

  24. Jichang Li, Guanbin Li, Feng Liu, and Yizhou Yu, Neighborhood Collective Estimation for Noisy Label Identification and Correction, European Conference on Computer Vision (ECCV), Tel Aviv, October 2022.

  25. Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, and Yizhou Yu, Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels, European Conference on Computer Vision (ECCV), Tel Aviv, October 2022.

  26. Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, and Yizhou Yu, Compound Domain Generalization via Meta-Knowledge Encoding, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, June 2022.

  27. Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo, Scale-Equivalent Distillation for Semi-Supervised Object Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, June 2022.

  28. Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang, Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-Shot Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, June 2022.

  29. Chu-ran Wang, Fei Gao, Fandong Zhang, Fangwei Zhong, Yizhou Yu, and Yizhou Wang, Disentangling Disease-related Representation from Obscure for Disease Prediction, International Conference on Machine Learning (ICML), PMLR 162:22652-22664, July 2022.

  30. Xiangru Lin, Yuyang Chen, Guanbin Li, and Yizhou Yu, A Causal Inference Look At Unsupervised Video Anomaly Detection, 36th AAAI Conference on Artificial Intelligence (AAAI), February 2022.

  31. Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, and Yizhou Yu, A Causal Debiasing Framework for Unsupervised Salient Object Detection, 36th AAAI Conference on Artificial Intelligence (AAAI), February 2022.

  32. Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, and Yizhou Yu, Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 44, No 10, pp.5947-5961, 2022.

  33. Dong Du, Xiaoguang Han, Hongbo Fu, Feiyang Wu, Yizhou Yu, Shuguang Cui, Ligang Liu, SAniHead: Sketching Animal-Like 3D Character Heads Using a View-Surface Collaborative Mesh Generative Network, IEEE Transactions on Visualization and Computer Graphics, Vol 28, No 6, pp.2415-2429, 2022.

  34. Gangming Zhao, Weifeng Ge, and Yizhou Yu, GraphFPN: Graph Feature Pyramid Network for Object Detection, IEEE International Conference on Computer Vision (ICCV), October 2021. [BibTex] (Code Release)

  35. Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, and Yizhou Yu, Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection, IEEE International Conference on Computer Vision (ICCV), October 2021. [BibTex]

  36. Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, and Yizhou Yu, ME-PCN: Point Completion Conditioned on Mask Emptiness, IEEE International Conference on Computer Vision (ICCV), October 2021. [BibTex] (Code Release)

  37. Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, and Yizhou Yu , Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts, IEEE International Conference on Computer Vision (ICCV), October 2021. (Code Release)

  38. Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, and Yizhou Yu, Multi-scale Matching Networks for Semantic Correspondence, IEEE International Conference on Computer Vision (ICCV), October 2021. (Code Release)

  39. Haoyu Ma#, Xiangru Lin#, Zifeng Wu, and Yizhou Yu, Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021. [BibTex]

  40. Jichang Li, Guanbin Li, Yemin Shi, and Yizhou Yu, Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021. [BibTex] (Code Release)

  41. Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, and Yizhou Yu, I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021. [BibTex] (Code Release)

  42. Xiangru Lin, Guanbin Li, and Yizhou Yu, Scene-Intuitive Agent for Remote Embodied Visual Grounding, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.

  43. Sibei Yang#, Meng Xia#, Guanbin Li, Hong-Yu Zhou, and Yizhou Yu, Bottom-Up Shift and Reasoning for Referring Image Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.

  44. Sibei Yang, Guanbin Li, and Yizhou Yu, Relationship-Embedded Representation Learning for Grounding Referring Expressions, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 43, No 8, pp.2765-2779, 2021. (Code Release)

  45. Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang, Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification, IEEE Transactions on Image Processing (TIP), Vol 30, pp.7980-7994, 2021.

  46. Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, and Yizhou Yu, Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread, IEEE Transactions on Cybernetics (TCyb), Vol 51, No 12, pp.6188-6199, 2021.

  47. Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, and Yizhou Yu, SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation, Medical Image Analysis (MIA), Vol 72, Article 102117, 2021.

  48. Gangming Zhao#, Chaowei Fang#, Guanbin Li, Licheng Jiao, and Yizhou Yu, Contralaterally Enhanced Networks for Thoracic Disease Detection, IEEE Transactions on Medical Imaging (TMI), Vol 40, No 9, pp.2428-2438, 2021.

  49. Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, and Yizhou Yu, A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation, IEEE Transactions on Medical Imaging (TMI), Vol 40, No 8, pp.2042-2052, 2021.

  50. Le Fang, Yu Wu, Chuan Wu, and Yizhou Yu, A Non-Intrusive Elderly Home Monitoring System, IEEE Internet of Things Journal (JIOT), Vol 8, No 4, pp.2603-2614, 2021.

  51. Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, and Mingli Song, Neural Style Transfer: A Review, IEEE Transactions on Visualizationa and Computer Graphics, Vol 26, No 11, pp.3365-3385, 2020. [BibTex]

  52. Sibei Yang, Guanbin Li, and Yizhou Yu, Propagating Over Phrase Relations for One-Stage Visual Grounding, European Conference on Computer Vision (ECCV), Glasgow, August 2020.

  53. Sibei Yang, Guanbin Li, and Yizhou Yu, Graph-Structured Referring Expression Reasoning in The Wild (Oral Paper), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, June 2020. [BibTex] (Code release and RefReasoning Dataset download)

  54. Y Liu, F Zhang, Q Zhang, S Wang, Y Wang, and Yizhou Yu, Cross-view Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection (Oral Paper), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, June 2020.

  55. Chaowei Fang, Guanbin Li, Xiaoguang Han, and Yizhou Yu, Self-Enhanced Convolutional Network for Facial Video Hallucination, IEEE Transactions on Image Processing, Vol 29, pp.3078-3090, 2020.

  56. Mengyang Feng, Huchuan Lu, and Yizhou Yu, Residual Learning for Salient Object Detection, IEEE Transactions on Image Processing (TIP), Vol 29, pp.4696-4708, 2020.

  57. Xiaoguang Han, Kangcheng Hou, Dong Du, Yuda Qiu, Shuguang Cui, Kun Zhou, and Yizhou Yu, CaricatureShop: Personalized and Photorealistic Caricature Sketching, IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol 26, No 7, pp.2349-2361, 2020.

  58. S Zhang, J Xu, Y-C Chen, J Ma, Z Li, Y Wang, and Yizhou Yu, Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, October 2020.

  59. Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, and Yizhou Yu, Context-Aware Semantic Inpainting, IEEE Transactions on Cybernetics (TCyb), Vol 49, No 12, pp.4398-4411, 2019.

  60. Haofeng Li, Guanqi Chen, Guanbin Li, and Yizhou Yu, Motion Guided Attention for Video Salient Object Detection, International Conference on Computer Vision (ICCV), Seoul, October 2019. [BibTex] (Code and Model Release)

  61. Sibei Yang, Guanbin Li, and Yizhou Yu, Dynamic Graph Attention for Referring Expression Comprehension (Oral Paper), International Conference on Computer Vision (ICCV), Seoul, October 2019. [BibTex]

  62. J Liu#, G Zhao#, Y Fei, M Zhang, Y Wang, and Yizhou Yu, Align, Attend and Locate: Chest X-ray Diagnosis via Contrast Induced Attention Network with Limited Supervision, International Conference on Computer Vision (ICCV), Seoul, October 2019.

  63. Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, and Liang Lin, Facial Landmark Machines: A Backbone-Branches Architecture With Progressive Representation Learning, IEEE Transactions on Multimedia (TMM), Vol 21, No 9, pp.2248-2262, 2019.

  64. Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, and Yizhou Yu, A Benchmark for Edge-Preserving Image Smoothing, IEEE Transactions on Image Processing (TIP), Vol 28, No 7, pp.3556-3570, 2019. [BibTex] (Dataset and Model download)

  65. Sibei Yang, Guanbin Li, and Yizhou Yu, Cross-Modal Relationship Inference for Grounding Referring Expressions, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, June 2019. [BibTex]

  66. Weifeng Ge#, Xiangru Lin#, and Yizhou Yu, Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, June 2019. [BibTex]

  67. Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, and Yizhou Yu, Multi-Source Weak Supervision for Saliency Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, June 2019.

  68. C Fang, G Li, C Pan, Y Li, and Yizhou Yu, Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, October 2019.

  69. Z Li#, S Zhang#, J Zhang, K Huang, Y Wang, and Yizhou Yu, MVPNet: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, October 2019.

  70. Chaowei Fang, Zicheng Liao, and Yizhou Yu, Piecewise Flat Embedding for Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol 41, No 6, pp.1470-1485, 2019. [BibTex]

  71. Kan Wu, Guanbin Li, Haofeng Li, Jianjun Zhang, and Yizhou Yu, Harvesting Visual Objects from Internet Images via Deep-Learning-Based Objectness Assessment, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol 15, No 3, pp.72:1-72:23, 2019.

  72. Xiang He#, Sibei Yang#, Guanbin Li, Haofeng Li, Huiyou Chang, and Yizhou Yu, Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks, The 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, January 2019.

  73. Weifeng Ge#, Bingchen Gong#, and Yizhou Yu, Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification, SIGGRAPH Asia 2018, Tokyo, December 2018 (ACM Transactions on Graphics, Vol 37, No 6, 2018). [BibTex] (supplemental)

  74. Guanbin Li and Yizhou Yu, Contrast-Oriented Deep Neural Networks for Salient Object Detection, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol 29, No 12, pp.6038-6051, 2018. [BibTex]

  75. Chang Gao#, Derun Gu#, Fangjun Zhang#, and Yizhou Yu, ReCoNet: Real-time Coherent Video Style Transfer Network , Asian Conference on Computer Vision (ACCV), Perth, December 2018. (Best Application Paper Award)

  76. Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, and Liang Lin, Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning, IEEE International Conference on Multimedia Big Data (BigMM), Xi'an, September 2018.

  77. Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, and Mingli Song, Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields , European Conference on Computer Vision (ECCV), Munich, September 2018.

  78. Weifeng Ge, Sibei Yang, and Yizhou Yu, Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, June 2018. [BibTex] (supplemental)

  79. Yujing Sun, Yizhou Yu, and Wenping Wang, Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks, IEEE Transactions on Image Processing (TIP), Vol 27, No 8, pp.4160-4172, 2018.

  80. Kan Wu and Yizhou Yu, Automatic Object Extraction from Images Using Deep Neural Networks and the Level-Set Method, IET Image Processing, Vol 12, No 7, pp.1131-1141, 2018.

  81. Xiaoguang Han#, Zhen Li#, Haibin Huang, Evangelos Kalogerakis, and Yizhou Yu, High Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference (Spotlight Paper), International Conference on Computer Vision (ICCV), Venice, October 2017. [BibTex] (supplemental)

  82. Xiaoguang Han, Chang Gao, and Yizhou Yu, DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling, SIGGRAPH 2017, Los Angeles, July 2017 (ACM Transactions on Graphics, Vol 36, No 4, 2017). [BibTex] (supplemental)

  83. Weifeng Ge and Yizhou Yu, Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning (Spotlight Paper), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, July 2017. [BibTex]

  84. Guanbin Li, Yuan Xie, Liang Lin, and Yizhou Yu, Instance-Level Salient Object Segmentation (Spotlight Paper), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, July 2017. [BibTex] (supplemental)

  85. Feida Zhu, Zhicheng Yan, Jiajun Bu, and Yizhou Yu, Exemplar-Based Image and Video Stylization Using Fully Convolutional Semantic Features, IEEE Transactions on Image Processing (TIP), Vol 26, No 7, pp.3542-3555, 2017.

  86. Guanbin Li and Yizhou Yu, Visual Saliency Detection Based on Multiscale Deep CNN Features, IEEE Transactions on Image Processing (TIP), Vol 25, No 11, pp.5012-5024, 2016. (paper)

  87. Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, and Liang Lin, LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling, European Conference on Computer Vision (ECCV), Amsterdam, October 2016. (code)

  88. Zhen Li and Yizhou Yu, Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks, International Joint Conference on Artificial Intelligence (IJCAI), New York City, July 2016.

  89. Yipeng Qin, Xiaoguang Han, Hongchuan Yu, Yizhou Yu, and Jianjun Zhang, Fast and Exact Discrete Geodesic Computation Based on Triangle-Oriented Wavefront Propagation, SIGGRAPH 2016, Anaheim, July 2016 (ACM Transactions on Graphics, Vol 35, No 4, 2016). (supplemental)

  90. Guanbin Li and Yizhou Yu, Deep Contrast Learning for Salient Object Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, June 2016. [BibTex]

  91. Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, and Yizhou Yu, Automatic Photo Adjustment Using Deep Neural Networks, ACM Transactions on Graphics, Vol 35, No 2, May 2016 (presented at SIGGRAPH 2016). [BibTex] (supplemental)

  92. Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, and Yizhou Yu, HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition, IEEE International Conference on Computer Vision (ICCV), Santiago, December 2015. [BibTex] (supplemental)

  93. Yizhou Yu, Chaowei Fang, and Zicheng Liao, Piecewise Flat Embedding for Image Segmentation (Oral Paper), IEEE International Conference on Computer Vision (ICCV), Santiago, December 2015. [BibTex] (supplemental | slides)

  94. Ruobing Wu, Baoyuan Wang, Wenping Wang, and Yizhou Yu, Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification, IEEE International Conference on Computer Vision (ICCV), Santiago, December 2015.

  95. Kang Chen, Kun Xu, Yizhou Yu, Tian-Yi Wang, and Shi-Min Hu, Magic Decorator: Automatic Material Suggestion for Indoor Digital Scenes, SIGGRAPH Asia 2015, Kobe, November 2015 (ACM Transactions on Graphics, Vol 34, No 6, 2015). (paper)

  96. Sai Bi, Xiaoguang Han, and Yizhou Yu, An L1 Image Transform for Edge-Preserving Smoothing and Scene-Level Intrinsic Decomposition, SIGGRAPH 2015, Los Angeles, August 2015 (ACM Transactions on Graphics, Vol 34, No 4, 2015). [BibTex] (supplemental)

  97. Zicheng Liao, Yizhou Yu, Bingchen Gong, and Lechao Cheng, Audeosynth: Music-Driven Video Montage, SIGGRAPH 2015, Los Angeles, August 2015 (ACM Transactions on Graphics, Vol 34, No 4, 2015). [BibTex]

  98. Guanbin Li and Yizhou Yu, Visual Saliency Based on Multiscale Deep Features, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, June 2015. [BibTex] (supplemental)

  99. Xiaoguang Han, Kwan-Yee K. Wong, and Yizhou Yu, 3D Human Model Reconstruction from Sparse Uncalibrated Views, IEEE CG&A, Vol 36, No 6, pp.46-56, 2016. (paper)

  100. Guanbin Li, Sai Bi, Jue Wang, Yingqing Xu, and Yizhou Yu, ColorSketch: A Drawing Assistant for Generating Color Sketches from Photos, IEEE CG&A, Vol 37, No 3, pp.70-81, 2017. (paper)

  101. Jianbo Ye and Yizhou Yu, A Fast Modal Space Transform for Robust Nonrigid Shape Retrieval, The Visual Computer, Vol 32, No 5, pp.553-568, May 2016.

  102. Wenchao Hu, Zhonggui Chen, Hao Pan, Yizhou Yu, Eitan Grinspun, and Wenping Wang, Surface Mosaic Synthesis with Irregular Tiles, IEEE Transactions on Visualization and Computer Graphics, Vol 22, No 3, pp.1302-1313, 2016.

  103. Feng Sun, Yi-King Choi, Yizhou Yu, and Wenping Wang, Medial Meshes - A Compact and Accurate Representation of Medial Axis Transform, IEEE Transactions on Visualization and Computer Graphics, Vol 22, No 3, pp.1278-1290, 2016. (paper)

  104. Guangmei Jing, Yongtao Hu, Yanwen Guo, Yizhou Yu, and Wenping Wang, Content-Aware Video2Comics With Manga-Style Layout, IEEE Transactions on Multimedia, Vol 17, No 12, pp.2122-2133, December 2015. (paper)

  105. Yongtao Hu, Jan Kautz, Yizhou Yu, and Wenping Wang, Speaker-Following Video Subtitles, ACM Transactions on Multimedia Computing, Communications, and Applications, Vol 11, No 2, December 2014. (paper)

  106. Ruobing Wu, Wenping Wang, and Yizhou Yu, Optimized Synthesis of Art Patterns and Layered Textures, IEEE Transactions on Visualization and Computer Graphics, Vol 20, No 3, March 2014.

  107. Ruobing Wu, Wenping Wang, and Yizhou Yu, Example-based art pattern synthesis using level sets, SIGGRAPH Asia 2013 short papers, Hong Kong, November 2013. (paper)

  108. Zhengzheng Kuang, Bin Chan, Yizhou Yu, and Wenping Wang, A Compact Random-Access Representation for Urban Modeling and Rendering, SIGGRAPH Asia 2013, Hong Kong, November 2013 (ACM Transactions on Graphics, Vol 32, No 6, 2013). (paper)

  109. Ruobing Wu, Yizhou Yu, and Wenping Wang, SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, June 2013.

  110. Jianbo Ye, Zhicheng Yan, and Yizhou Yu, Fast Nonrigid 3D Retrieval Using Modal Space Transform, ACM International Conference on Multimedia Retrieval (ICMR), Dallas, April 2013.

  111. Siming Wei and Yizhou Yu, Subspace Segmentation with A Minimal Squared Frobenius Norm Representation, 21st International Conference on Pattern Recognition (ICPR), Tsukuba, November 2012, pp.3509-3512. (paper)

  112. Zhan Yuan, Yizhou Yu, and Wenping Wang, Object-Space Multiphase Implicit Functions, SIGGRAPH 2012, Los Angeles, August 2012 (ACM Transactions on Graphics, Vol. 31, No. 4, 2012). (paper)

  113. Menglei Chai, Lvdi Wang, Yanlin Weng, Yizhou Yu, Baining Guo, and Kun Zhou, Single-View Hair Modeling for Portrait Manipulation, SIGGRAPH 2012, Los Angeles, August 2012 (ACM Transactions on Graphics, Vol 31, No 4, 2012).

  114. Zhanghui Kuang, Dirk Schnieders, Hao Zhou, K.-Y. Kenneth Wong, Yizhou Yu, and Bo Peng, Learning Image-Specific Parameters for Interactive Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, June 2012, pp.590-597. (paper)

  115. Zicheng Liao, Hughes Hoppe, David Forsyth, and Yizhou Yu, A Subdivision-Based Represenation for Vector Image Editing (spotlight paper), IEEE Transactions on Visualization and Computer Graphics, Vol 18, No 11, pp.1858-1867, 2012. (paper)

  116. H. Huang, K.K. Yin, L. Zhao, Y. Qi, Yizhou Yu, and X. Tong, Detail-Preserving Controllable Deformation from Sparse Examples, IEEE Transactions on Visualization and Computer Graphics, Vol 18, No 8, pp.1215-1227, 2012. (paper)

  117. Yugang Liu and Yizhou Yu, Interactive Image Segmentation Based on Level Sets of Probabilities, IEEE Transactions on Visualization and Computer Graphics, Vol 18, No 2, pp.202-213, 2012. [BibTex]

  118. Baoyuan Wang and Yizhou Yu, Parallel H-Tree Based Data Cubing on Graphics Processors, International Journal of Software and Informatics, Vol 6, No 1, pp.61-87, 2012. (paper)

  119. Lvdi Wang, Yizhou Yu, Kun Zhou, and Baining Guo, Multiscale Vector Volumes, SIGGRAPH Asia 2011, Hong Kong, December 2011 (ACM Transactions on Graphics, Vol 30, No 6, 2011). (paper)

  120. Baoyuan Wang, Yizhou Yu, and Ying-Qing Xu, Example-Based Image Color and Tone Style Enhancement, SIGGRAPH 2011, Vancouver, August 2011 (ACM Transactions on Graphics, Vol 30, No 4, 2011). [BibTex] (supplemental)

  121. H. Huang, L. Zhao, K.K. Yin, Y. Qi, Yizhou Yu, and X. Tong, Controllable Hand Deformation from Sparse Examples with Rich Details, ACM SIGGRAPH/EG Symposium on Computer Animation , Vancouver, August 2011. (Best Paper Award) (paper)

  122. Yugang Liu, Leiting Chen, and Yizhou Yu, Diffusion Kurtosis Imaging Based on Adaptive Spherical Integral, IEEE Signal Processing Letters, Vol 18, No 4, pp.243-246, 2011. (paper)

  123. Baoyuan Wang, Yizhou Yu, Tien-Tsin Wong, Chun Chen, and Ying-Qing Xu, Data-Driven Image Color Theme Enhancement, SIGGRAPH Asia 2010, Seoul, December 2010 (ACM Transactions on Graphics, Vol 29, No 6, 2010). [BibTex] (supplemental)

  124. Wei-Wen Feng, Yizhou Yu, and Byung-Uck Kim, A Deformation Transformer for Real-Time Cloth Animation, SIGGRAPH 2010, Los Angeles, July 2010 (ACM Transactions on Graphics, Vol 29, No 4, 2010). [BibTex] (datasets)

  125. Lvdi Wang, Kun Zhou, Yizhou Yu, and Baining Guo, Vector Solid Textures, SIGGRAPH 2010, Los Angeles, July 2010 (ACM Transactions on Graphics, Vol 29, No 4, 2010). (paper)

  126. Wei-Wen Feng, Byung-Uck Kim, Yizhou Yu, Liang Peng, and John Hart, Feature-Preserving Triangular Geometry Images for Level-of-Detail Representation of Static and Skinned Meshes, ACM Transactions on Graphics, Vol 29, No 2, Article 11, March 2010 (presented at SIGGRAPH 2010). (paper)

  127. Hanqi Fan, Yizhou Yu and Qunsheng Peng, Robust Feature-Preserving Mesh Denoising Based on Consistent Sub-Neighborhoods, IEEE Transactions on Visualization and Computer Graphics, Vol 16, No 2, pp.312-324, 2010. [BibTex]

  128. Zicheng Liao, Yizhou Yu, and Baoquan Chen, Anomaly Detection in GPS Data Based on Visual Analytics, IEEE Conference on Visual Analytics Science and Technology (IEEE VAST), Salt Lake City, October 2010, pp.51-58. (paper)

  129. S. Wei, J. Hua, C. Chen, J. Bu, and Y. Yu , Bayesian Regularization of Diffusion Tensor Images Using Hierarchical MCMC and Loopy Belief Propagation, 17th IEEE International Conference on Image Processing (ICIP), September 2010. (paper)

  130. Tian Xia and Yizhou Yu , Automatic Detection of Malignant Prostatic Gland Units in Cross-Sectional Microscopic Images, 17th IEEE International Conference on Image Processing (ICIP), September 2010. (paper)

  131. B. Wang, G. Chen, J. Bu, and Y. Yu, Multiscale Visualization of Relational Databases Using Layered Zoom Trees and Partial Data Cubes, International Conference on Information Visualization Theory and Applications, Angers, France, May 2010. (paper)

  132. Tian Xia, Qing Wu, Chun Chen and Yizhou Yu, Lazy Texture Selection Based on Active Learning, The Visual Computer, Vol. 26, No. 3, pp.157-169, 2010. (paper)

  133. Tian Xia, Binbin Liao and Yizhou Yu, Patch-Based Image Vectorization with Automatic Curvilinear Feature Alignment, SIGGRAPH Asia 2009, Yokohama, December 2009 (ACM Transactions on Graphics, Vol. 28, No. 5, 2009). (paper | supplemental)

  134. L. Wang, Y. Yu, K. Zhou and B. Guo, Example-Based Hair Geometry Synthesis, SIGGRAPH 2009, New Orleans, August 2009 (ACM Transactions on Graphics, Vol. 28, No. 3, 2009). (paper | supplemental)

  135. Qing Wu, Chun Chen and Yizhou Yu, Wavelet-Based Hybrid Multilinear Models for Multidimensional Image Approximation, 15th IEEE International Conference on Image Processing (ICIP), pp.2828-2831, San Diego, October 2008. (pdf)

  136. J. Xu, X. Jin, Yizhou Yu, and T. Shen, Shape Constrained Flock Animation, International Conference on Computer Animation and Social Agents, Seoul, September 2008 (Computer Animation and Virtual Worlds, Vol. 19, No. 3-4, pp.319-330). (pdf)

  137. Wei-Wen Feng, Byung-Uck Kim, and Yizhou Yu, Real-Time Data-Driven Deformation Using Kernel Canonical Correlation Analysis, SIGGRAPH 2008, Los Angeles, August 2008 (ACM Transactions on Graphics, Vol. 27, No. 3, Article 91, 9 pages, 2008). [BibTex]

  138. Q. Wu, T. Xia, C. Chen, H.-Y. Lin, H. Wang, and Yizhou Yu, Hierarchical Tensor Approximation of Multi-Dimensional Visual Data, IEEE Transactions on Visualization and Computer Graphics, Vol. 14, No. 1, 2008, pp.186-199. (pdf)

  139. W. Xu, K. Zhou, Yizhou Yu, Q. Tan, Q. Peng, and B. Guo, Gradient Domain Editing of Deforming Mesh Sequences, SIGGRAPH 2007, San Diego, August 2007 (ACM Transactions on Graphics, Vol. 26, No. 3, Article 84, 10 pages, 2007). (pdf)

  140. Qing Wu, Tian Xia, and Yizhou Yu, Hierarchical Tensor Approximation of Multi-Dimensional Images, 14th IEEE International Conference on Image Processing (ICIP), Vol. IV, pp.49-52, San Antonio, September 2007. (pdf)

  141. Wei-Wen Feng, Liang Peng, Yuntao Jia, and Yizhou Yu, Large-Scale Data Management for PRT-Based Real-Time Rendering of Dynamically Skinned Models, EG Symposium on Rendering, Grenoble, June 2007. (pdf)

  142. Lin Shi, Yizhou Yu, Nathan Bell, and Wei-Wen Feng, A Fast Multigrid Algorithm for Mesh Deformation, SIGGRAPH 2006, Boston, August 2006 (ACM Transactions on Graphics, Vol. 25, No. 3, 2006, pp.1108-1117). (pdf)

  143. Hongcheng Wang, Qing Wu, Lin Shi, Yizhou Yu, and Narendra Ahuja, Out-of-Core Tensor Approximation of Multi-Dimensional Matrices of Visual Data, SIGGRAPH 2005, Los Angeles, August 2005 (ACM Transactions on Graphics, Vol. 24, No. 3, 2005, pp.527-535). [BibTex] (pdf)

  144. Nathan Bell, Yizhou Yu and Peter J. Mucha, Particle-Based Simulation of Granular Materials, ACM SIGGRAPH/EG Symposium on Computer Animation, Los Angeles, July 2005, pp.77-86. (Best Paper Award) (pdf)

  145. Lin Shi and Yizhou Yu, Taming Liquids for Rapidly Changing Targets, ACM SIGGRAPH/EG Symposium on Computer Animation, Los Angeles, July 2005, pp.229-236. (pdf)

  146. Yizhou Yu and Johnny Chang, Shadow Graphs and 3D Texture Reconstruction, International Journal of Computer Vision (IJCV), Vol. 62, No. 1-2, 2005, pp.35-60. (pdf)

  147. Yizhou Yu and Johnny Chang, Shadow Graphs and Surface Reconstruction, European Conference on Computer Vision (ECCV), Copenhagen, May 2002, pp.31-45 (Vol. II). (pdf)

  148. Lin Shi and Yizhou Yu, Controllable Smoke Animation with Guiding Objects, ACM Transactions on Graphics, Vol. 24, No. 1, 2005, pp.140-164.

  149. Lin Shi, Yizhou Yu, Christopher Wojtan and Stephen Chenney, Controllable Motion Synthesis in a Gaseous Medium, The Visual Computer, Vol. 21, No. 7, 2005, pp.474-487. (pdf)

  150. H. Wu and Y. Yu, Photogrammetric Reconstruction of Free-Form Objects with Curvilinear Structures, The Visual Computer, Vol. 21, No. 4, 2005, pp.203-216. (pdf)

  151. Qing Wu and Yizhou Yu, Feature Matching and Deformation for Texture Synthesis, SIGGRAPH 2004, Los Angeles, August 2004 (ACM Transactions on Graphics, Vol. 23, No. 3, 2004, pp.362-365). (pdf)

  152. Y. Yu, K. Zhou, D. Xu, X. Shi, H. Bao, B. Guo and H.-Y. Shum, Mesh Editing with Poisson-Based Gradient Field Manipulation, SIGGRAPH 2004, Los Angeles, August 2004 (ACM Transactions on Graphics, Vol. 23, No. 3, 2004, pp.641-648). (pdf)

  153. Lin Shi and Yizhou Yu, Inviscid and Incompressible Fluid Simulation on Triangle Meshes, Journal of Computer Animation and Virtual Worlds, Volume 15, No. 3-4, 2004, pp.173-181. (pdf)

  154. Yizhou Yu and Qing Wu, Video Metamorphosis Using Dense Flow Fields, Journal of Computer Animation and Virtual Worlds, Volume 15, No. 3-4, 2004, pp.387-397. An extended version is available as UIUC Tech Report No. UIUCDCS-R-2004-2439 (pdf) .

  155. Wei Hong, Yi Ma and Yizhou Yu, Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features, European Conference on Computer Vision (ECCV), Prague, May 2004. (pdf)

  156. Qing Wu and Yizhou Yu, Two-Level Image Segmentation Based on Region and Edge Integration, Digital Image Computing: Techniques and Applications (DICTA), Sydney, December 2003, pp.957-966. (pdf)

  157. Johnny Chang, Jingyi Jin, and Yizhou Yu, A Practical Model for Hair Mutual Interactions, ACM SIGGRAPH Symposium on Computer Animation, San Antonio, July 2002, pp.73-80. (pdf)

  158. Johnny Chang, David Edwards, and Yizhou Yu, Statistical Estimation of Fluid Flow Fields, ECCV workshop on Statistical Methods in Video Processing, Copenhagen, June 2002, pp.91-96. (pdf)

  159. Xinguo Liu, Yizhou Yu, and Harry Shum, Synthesizing Bidirectional Texture Functions for Real-World Surfaces, Proceedings of SIGGRAPH 2001, Los Angeles, CA, August 2001, pp.97-106. (pdf)

  160. Yizhou Yu, Andras Ferencz, and Jitendra Malik, Extracting Objects from Range and Radiance Images, IEEE Transactions on Visualization and Computer Graphics, Vol. 7, No. 4, 2001, pp.351-364.

  161. Yizhou Yu, Paul Debevec, Jitendra Malik and Tim Hawkins, Inverse Global Illumination: Recovering Reflectance Models of Real Scenes from Photographs, Proc. of SIGGRAPH 99, Los Angeles, CA, August 1999, pp.215-224. (ps, pdf)

  162. Yizhou Yu and Jitendra Malik, Recovering Photometric Properties of Architectural Scenes from Photographs, Proc. of SIGGRAPH 98, Orlando, Florida, July 1998, pp.207-217. (ps, pdf)

  163. Yizhou Yu, Surface Reconstruction from Unorganized Points Using Self-Organizing Neural Networks, Proc. of IEEE Visualization'99 LBHT, San Francisco, CA, October 1999, pp.61-64. (ps, pdf)

  164. Paul Debevec, Yizhou Yu and George Borshukov, Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping, Proc. of 9th Eurographics Workshop on Rendering, Vienna, Austria, June 1998, pp.105-116. (pdf)

  165. Yizhou Yu, Oscar Ibarra and Tao Yang, Parallel Progressive Radiosity with Adaptive Meshing, in Journal of Parallel and Distributed Computing 42, 1 (1997), pp.30-41. (ps, pdf)

  166. Yizhou Yu, Clustering with Mean Field Annealing and Unsupervised Learning, 1993 IEEE Region 10 International Conference on Digital Signal Processing Applications (TENCON), pp.774-777. (pdf)



    PH.D. Thesis

  167. Yizhou Yu, Modeling and Editing Real Scenes with Image-Based Techniques, Ph.D. thesis, University of California at Berkeley, July 2000. (pdf)


    Tutorials

  168. Y. Yu, Shape from Shadows, CVonline, Bob Fisher(editor).

  169. J.-Y. Bouguet, L. McMillan, M. Pollefeys, Y. Yu, D. Wood, H. Pfister, Y. Sato, and R. Grzeszczuk, Acquisition and Visualization of Surface Light Fields, SIGGRAPH 2001 course notes.

  170. Y. Ma, S. Soatto, J. Kosecka, R. Vidal, and Y. Yu, Multiple-View Geometry for Image-Based Modeling, SIGGRAPH 2003 course notes.

    Video

  171. P. Debevec, G. Borshukov, Y.Yu et al. FACADE: Modeling and Rendering Architecture from Photographs and The Campanile Model, SIGGRAPH'97 Electronic Theatre (Visual Proceedings, pp.254).


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