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PUBLICATION LIST


Journal Papers

(* indicates corresponding author, ^ indicates equal contribution)

  1. Yuying Ge, Ruimao Zhang, Ping Luo, "MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples“, IEEE Transactions on Image Processing ( T-IP ), 31:1120 - 1133, 2022 【PDF

  2. Zhaoyi Yan, Ruimao Zhang, Hongzhi Zhang, Qingfu Zhang, Wangmeng Zuo, "Crowd Counting via Perspective-Guided Fractional-Dilation Convolution“, IEEE Transactions on Multimedia ( T-MM ), 24:2633-2647, 2021 【PDF

  3. Enze Xie, Wenhai Wang, Mingyu Ding, Ruimao Zhang, Ping Luo, "PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond“, IEEE Transactions on Pattern Analysis and Machine Intelligence ( T-PAMI ), 2021 ( IF:17.86 )

  4. Ping Luo, Ruimao Zhang*, Jiamin Ren, Zhanglin Peng, Jingyu Li, "Switchable Normalization for Learning-to-Normalize Deep Representation", IEEE Transactions on Pattern Analysis and Machine Intelligence ( T-PAMI ), 43(2):712-728, 2021 ( IF:17.73 ) 【PDF】【Code

  5. Wenqi Shao, Jingyu Li, Jiamin Ren, Ruimao Zhang, Xiaogang Wang, Ping Luo "SSN: Learning Sparse Switchable Normalization via SparsestMax " International Journal of Computer Vision,( IJCV ), 128:2107–2125, 2020

  6. Di Lin, Ruimao Zhang, Yuanfeng Ji, Ping Li, Hui Huang, “SCN: Switchable Context Network for Semantic Segmentation of RGB-D Images”, IEEE Transactions on Cybernetics ( T-CYB ), 50(3):1120-1131, 2020

  7. Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo, “Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions”, IEEE Transactions on Pattern Analysis and Machine Intelligence ( T-PAMI ), 41(3):596 - 610, 2019 ( IF:17.73 )

  8. Ruimao Zhang, Jingyu Li, Hongbin Sun, Yuying Ge, Ping Luo, Xiaogang Wang, Liang Lin, “SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification”, IEEE Transactions on Image Processing ( T-IP ), 28(10):4870-4882, 2019

  9. Ruimao Zhang, Wei Yang, Zhanglin Peng, Pengxu Wei, Xiaogang Wang, Liang Lin, “Progressively Diffused Networks for Semantic Visual Parsing”, Pattern Recognition ( PR ), 90:78-86, 2019

  10. Dongyu Zhang, Wenxi Wu, Hui Cheng, Ruimao Zhang, Zhenjiang Dong, Zhaoquan Cai, "Image-to-Video Person Re-Identification with Temporally Memorized Similarity Learning", IEEE Transactions on Circuits and Systems for Video Technology ( T-CSVT ), 28(10) 2622-2632, 2018

  11. Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, Liang Lin, "Cost-Effective Active Learning for Deep Image Classification", IEEE Transactions on Circuits and Systems for Video Technology ( T-CSVT ), 27(12): 2591-2600, 2017 ( ESI Highly Cited Paper )

  12. Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, Lei Zhang “Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification” IEEE Transactions on Image Processing ( T-IP ), 24(12):4766-4779, 2015 ( ESI Highly Cited Paper )

  13. Liang Lin, Ruimao Zhang, and Xiaohua Duan, "Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling", IEEE Transactions on Circuits and Systems for Video Technology ( T-CSVT ), 25(2): 251-260, 2015

Conference Papers

(* indicates corresponding author, ^ indicates equal contribution)

  1. Yuanfeng Ji, Haotian Bai, Jie Yang, Chongjian Ge, Ye Zhu, Ruimao Zhang*, Zhen Li*, Lingyan Zhanng, Wanling Ma, Xiang Wan, Ping Luo*, "AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation“, Proc. of Conference on Neural Information Processing Systems ( NeurIPS ), 2022 ( Oral )【PDF】【AMOS Challenge

  2. Xu Yan, Heshen Zhan, Chaoda Zheng, Jiantao Gao, Ruimao Zhang, Shuguang Cui, Zhen Li, "Let Images Give You More: Point Cloud Cross-Modal Training for Shape Classification“, Proc. of Conference on Neural Information Processing Systems ( NeurIPS ), 2022 ( Spotlight )【PDF】【Code

  3. Hao Zhang, Ruimao Zhang*, "Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation“, Proc. of Asian Conference on Computer Vision( ACCV ), 2022 【PDF

  4. Haotian Bai, Ruimao Zhang*, Jiong Wang, Xiang Wan, "Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration“, Proc. of European Conference on Computer Vision( ECCV ), 2022 【PDF】【Code

  5. Xu Yan, Jiantao Gao, Chaoda Zheng, Chao Zheng, Ruimao Zhang, Shenghui Cui, Zhen Li, "2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds“, Proc. of European Conference on Computer Vision( ECCV ), 2022 【PDF】【Code

  6. Weijie Ma, Ye Zhu, Ruimao Zhang*, Jie Yang, Yiwen Hu, Zhen Li, Li Xiang, "Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency", Proc. of Medical Image Computing and Computer-Assisted Interventions ( MICCAI ), 2022 ( Early Accept ) 【PDF】【Code

  7. Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo, "End-to-End Dense Video Captioning with Parallel Decoding" Proc. of International Conference on Computer Vision ( ICCV ), 2021 【PDF】【Code

  8. Zhihao Yuan, Xu Yan, Yinghong Liao, Ruimao Zhang, Sheng Wang, Zhen Li, Shuguang Cui, "InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring" Proc. of International Conference on Computer Vision ( ICCV ), 2021 【PDF】【Code

  9. Yuanfeng Ji, Ruimao Zhang, Huijie Wang, Zhen Li, Ling Yun Wu, Shaoting Zhang, Ping Luo "Multi-Compound Transformer for Accurate Biomedical Image Segmentation" Proc. of Medical Image Computing and Computer-Assisted Interventions ( MICCAI ), 2021 ( Early Accept ) 【PDF】【Code

  10. Jun Wei, Yiwen Hu, Ruimao Zhang, Zhen Li, S. Kevin Zhou, Shuguang Cui, "Shallow Attention Network for Enhanced Small Polyp Segmentation" Proc. of Medical Image Computing and Computer-Assisted Interventions ( MICCAI ), 2021

  11. Weibing Zhao, Xu Yan, Jiantao Gao, Ruimao Zhang, Jiayan Zhang, Zhen Li, Song Wu, Shuguang Cui, "PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery" Proc. of International Joint Conference on Artificial Intelligence ( IJCAI ), 2021

  12. Yuying Ge, Yibing Song, Ruimao Zhang, Congjian Ge, Wei Liu, Ping Luo, "Parser-Free Virtual Try-on via Distilling Appearance Flows" Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2021

  13. Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui, "Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion" Proc. of AAAI Conference on Artificial Intelligence ( AAAI ), 2021

  14. Xu Yan, Weibing Zhao, Kun Yuan, Ruimao Zhang, Zhen Li, Shuguang Cui, "Towards Content-independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation" Proc. of European Conference on Computer Vision ( ECCV ), 2020

  15. Ruimao Zhang^, Zhanglin Peng^, Lingyun Wu, Zhen Li, Ping Luo, " Exemplar Normalization for Learning Deep Representation ", Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2020 【PDF

  16. Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo, "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content", Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2020 【PDF】【Code

  17. Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo, "UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation" Proc. of Medical Image Computing and Computer-Assisted Interventions ( MICCAI ), 2020 ( Early Accept ) 【PDF

  18. Qin Wang, Weibing Zhao, Ruimao Zhang, Zhen Li, Shuguang Cui, "Progressive Abdominal Segmentation with Adaptively Hard Region Prediction and Feature Enhancement", Proc. of IEEE International Symposium on Biomedical Imaging ( ISBI ), 2020

  19. Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo, "Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks", Proc. of IEEE International Conference on Computer Vision ( ICCV ), 2019

  20. Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang "Once a MAN: Towards Multi-target Attack via Learning Multi-target Adversarial Network Once ", Proc. of IEEE International Conference on Computer Vision ( ICCV ), 2019

  21. Ping Luo, Zhanglin Peng, Wenqi Shao, Ruimao Zhang, Jiamin Ren, Lingyun Wu, "Differentiable Dynamic Normalization for Learning Deep Representation", Proc. of International Conference on Machine Learning ( ICML ), 2019

  22. Yuying Ge, Ruimao Zhang, Lingyun Wu, Xiaogang Wang, Xiaoou Tang, Ping Luo, “DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images”, in Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2019 ( Recommended by LeCun on Twitter )

  23. Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo, "SSN: Learning Sparse Switchable Normalization via SparsestMax", Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2019

  24. Zhanglin Peng, Jiamin Ren, Ruimao Zhang, Lingyun Wu, Xinjiang Wang, and Ping Luo, "Scheduling Large-scale Distributed Training via Reinforcement Learning", Proc. of International Conference on Big Data ( ICBD ), 2019

  25. Zhanglin Peng, Lingyun Wu, Jiamin Ren, Ruimao Zhang, and Ping Luo, “CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images”, Proc. of International Conference on Big Data ( ICBD ), 2019

  26. Ping Luo, Jiamin Ren, Zhanglin Peng, Ruimao Zhang, Jingyu Li, "Differentiable Learning-to-Normalize via Switchable Normalization", Proc. of International Conference on Learning Representations ( ICLR ), 2019

  27. Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin, "Attentive Crowd Flow Machines", Proc. of ACM International Conference on Multimedia ( ACM MM ), 2018 ( Oral )

  28. Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin, "Geometric Scene Parsing with Hierarchical LSTM", Proc. of International Joint Conference on Artificial Intelligence ( IJCAI ), 2016

  29. Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo, "Deep Structured Scene Parsing by Learning with Sentence Descriptions", Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2016 ( Oral )

  30. Zhanglin Peng, Liang Lin, Ruimao Zhang, and Jing Xu, "Deep Boosting: Layered Feature Mining for General Image Classification", Proc. of IEEE International Conference on Multimedia and Expo ( ICME ), 2014.

  31. Kun Zeng, Ruimao Zhang, Xiaodan Lan, Yan Pan, and Liang Lin, "Color Style Transfer by Constraint Locally Linear Embedding", Proc. of IEEE Conference on Image Processing ( ICIP ), 2011.