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Ruimao Zhang

PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond


May 05, 2021
Enze Xie, Wenhai Wang, Mingyu Ding, Ruimao Zhang, Ping Luo

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* TPAMI 2021 Accepted 
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PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery


Apr 30, 2021
Weibing Zhao, Xu Yan, Jiantao Gao, Ruimao Zhang, Jiayan Zhang, Zhen Li, Song Wu, Shuguang Cui

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* IJCAI 2021 
 * To appear in IJCAI 2021 
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Parser-Free Virtual Try-on via Distilling Appearance Flows


Mar 09, 2021
Yuying Ge, Yibing Song, Ruimao Zhang, Chongjian Ge, Wei Liu, Ping Luo

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* Accepted by CVPR2021 
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InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring


Mar 01, 2021
Zhihao Yuan, Xu Yan, Yinghong Liao, Ruimao Zhang, Zhen Li, Shuguang Cui

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* Codes will be released in https://github.com/CurryYuan/InstanceRefer 
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Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion


Dec 07, 2020
Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui

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* To appear in AAAI 2021. Codes are available at https://github.com/yanx27/JS3C-Net 
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SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training


Dec 05, 2020
Weijia Wu, Enze Xie, Ruimao Zhang, Wenhai Wang, Guan Pang, Zhen Li, Hong Zhou, Ping Luo

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AIM 2020 Challenge on Learned Image Signal Processing Pipeline


Nov 10, 2020
Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tan, Bingxin Hou

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* Published in ECCV 2020 Workshops (Advances in Image Manipulation), https://data.vision.ee.ethz.ch/cvl/aim20/ 
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UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation


Sep 16, 2020
Yuanfeng Ji, Ruimao Zhang, Zhen Li, Jiamin Ren, Shaoting Zhang, Ping Luo

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Exemplar Normalization for Learning Deep Representation


Mar 20, 2020
Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo

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* Accepted by CVPR2020, normalization methods, image classification 
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Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content


Mar 12, 2020
Han Yang, Ruimao Zhang, Xiaobao Guo, Wei Liu, Wangmeng Zuo, Ping Luo

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* CVPR 2020 
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Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks


Aug 19, 2019
Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo

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* accepted by ICCV 2019 
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Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once


Aug 14, 2019
Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang

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* Accepted by ICCV 2019 
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Switchable Normalization for Learning-to-Normalize Deep Representation


Jul 22, 2019
Ping Luo, Ruimao Zhang, Jiamin Ren, Zhanglin Peng, Jingyu Li

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* IEEE Transactions on Pattern Analysis and Machine Intelligence, 18 pages, 15 figures, 11 tables. arXiv admin note: substantial text overlap with arXiv:1806.10779 
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SSN: Learning Sparse Switchable Normalization via SparsestMax


Mar 09, 2019
Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo

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* 10 pages, 6 figures, accepted to CVPR 2019 
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DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images


Jan 23, 2019
Yuying Ge, Ruimao Zhang, Lingyun Wu, Xiaogang Wang, Xiaoou Tang, Ping Luo

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Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?


Nov 19, 2018
Ping Luo, Zhanglin Peng, Jiamin Ren, Ruimao Zhang

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* Preprint. Work in Progress. 14 pages, 13 figures 
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Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview


Oct 10, 2018
Lili Huang, Jiefeng Peng, Ruimao Zhang, Guanbin Li, Liang Lin

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Differentiable Learning-to-Normalize via Switchable Normalization


Sep 30, 2018
Ping Luo, Jiamin Ren, Zhanglin Peng, Ruimao Zhang, Jingyu Li

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* Preprint. Work in progress. 18 pages, 11 figures 
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Attentive Crowd Flow Machines


Sep 01, 2018
Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin

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* ACM MM, full paper 
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SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification


Jul 20, 2018
Ruimao Zhang, Hongbin Sun, Jingyu Li, Yuying Ge, Liang Lin, Ping Luo, Xiaogang Wang

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* 10 pages, 3 figures 
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Deep Structured Scene Parsing by Learning with Image Descriptions


Feb 28, 2018
Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo

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* Discovering a semantic object hierarchy with object interaction relations (Publhised in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (oral)) 
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Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions


Jan 27, 2018
Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo

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* Accepted by Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2018 
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Progressively Diffused Networks for Semantic Image Segmentation


Feb 20, 2017
Ruimao Zhang, Wei Yang, Zhanglin Peng, Xiaogang Wang, Liang Lin

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* Sun Yat-sen University, The Chinese University of Hong Kong 
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Cost-Effective Active Learning for Deep Image Classification


Jan 13, 2017
Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, Liang Lin

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* Accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2016 
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Geometric Scene Parsing with Hierarchical LSTM


Apr 08, 2016
Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin

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* To be presented at IJCAI'16 
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Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification


Aug 21, 2015
Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, Lei Zhang

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* 14 pages, 5 figures. IEEE Transactions on Image Processing 2015 
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Deep Boosting: Layered Feature Mining for General Image Classification


Feb 03, 2015
Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu

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* Multimedia and Expo (ICME), 2014 IEEE International Conference on , vol., no., pp.1,6, 14-18 July 2014 
 * 6 pages, 4 figures, ICME 2014 
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Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling


Feb 02, 2015
Liang Lin, Ruimao Zhang, Xiaohua Duan

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* Circuits and Systems for Video Technology, IEEE Transactions on , vol.PP, no.99, pp.1,1, 2014 
 * 11 pages, 7 figures 
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