Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Ruimao Zhang

Ruimao Zhang

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

* Codes will be released in https://github.com/CurryYuan/InstanceRefer 
  Access Paper or Ask Questions

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

Figure 1 for Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
Figure 2 for Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
Figure 3 for Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
Figure 4 for Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
* To appear in AAAI 2021. Codes are available at https://github.com/yanx27/JS3C-Net 
  Access Paper or Ask Questions

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

Figure 1 for SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training
Figure 2 for SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training
Figure 3 for SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training
Figure 4 for SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training

  Access Paper or Ask Questions

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

Figure 1 for AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Figure 2 for AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Figure 3 for AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Figure 4 for AIM 2020 Challenge on Learned Image Signal Processing Pipeline
* Published in ECCV 2020 Workshops (Advances in Image Manipulation), https://data.vision.ee.ethz.ch/cvl/aim20/ 
  Access Paper or Ask Questions

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

Figure 1 for UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
Figure 2 for UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
Figure 3 for UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
Figure 4 for UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation

  Access Paper or Ask Questions

Exemplar Normalization for Learning Deep Representation


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

Figure 1 for Exemplar Normalization for Learning Deep Representation
Figure 2 for Exemplar Normalization for Learning Deep Representation
Figure 3 for Exemplar Normalization for Learning Deep Representation
Figure 4 for Exemplar Normalization for Learning Deep Representation
* Accepted by CVPR2020, normalization methods, image classification 
  Access Paper or Ask Questions

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

Figure 1 for Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content
Figure 2 for Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content
Figure 3 for Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content
Figure 4 for Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content
* CVPR 2020 
  Access Paper or Ask Questions

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

Figure 1 for Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
Figure 2 for Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
Figure 3 for Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
Figure 4 for Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
* accepted by ICCV 2019 
  Access Paper or Ask Questions

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

Figure 1 for Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
Figure 2 for Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
Figure 3 for Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
Figure 4 for Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
* Accepted by ICCV 2019 
  Access Paper or Ask Questions

Switchable Normalization for Learning-to-Normalize Deep Representation


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

Figure 1 for Switchable Normalization for Learning-to-Normalize Deep Representation
Figure 2 for Switchable Normalization for Learning-to-Normalize Deep Representation
Figure 3 for Switchable Normalization for Learning-to-Normalize Deep Representation
Figure 4 for Switchable Normalization for Learning-to-Normalize Deep Representation
* IEEE Transactions on Pattern Analysis and Machine Intelligence, 18 pages, 15 figures, 11 tables. arXiv admin note: substantial text overlap with arXiv:1806.10779 
  Access Paper or Ask Questions

SSN: Learning Sparse Switchable Normalization via SparsestMax


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

Figure 1 for SSN: Learning Sparse Switchable Normalization via SparsestMax
Figure 2 for SSN: Learning Sparse Switchable Normalization via SparsestMax
Figure 3 for SSN: Learning Sparse Switchable Normalization via SparsestMax
Figure 4 for SSN: Learning Sparse Switchable Normalization via SparsestMax
* 10 pages, 6 figures, accepted to CVPR 2019 
  Access Paper or Ask Questions

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

Figure 1 for DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
Figure 2 for DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
Figure 3 for DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
Figure 4 for DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

  Access Paper or Ask Questions

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


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

Figure 1 for Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?
Figure 2 for Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?
Figure 3 for Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?
Figure 4 for Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?
* Preprint. Work in Progress. 14 pages, 13 figures 
  Access Paper or Ask Questions

Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview


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

Figure 1 for Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview
Figure 2 for Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview
Figure 3 for Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview
Figure 4 for Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview

  Access Paper or Ask Questions

Differentiable Learning-to-Normalize via Switchable Normalization


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

Figure 1 for Differentiable Learning-to-Normalize via Switchable Normalization
Figure 2 for Differentiable Learning-to-Normalize via Switchable Normalization
Figure 3 for Differentiable Learning-to-Normalize via Switchable Normalization
Figure 4 for Differentiable Learning-to-Normalize via Switchable Normalization
* Preprint. Work in progress. 18 pages, 11 figures 
  Access Paper or Ask Questions

Attentive Crowd Flow Machines


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

Figure 1 for Attentive Crowd Flow Machines
Figure 2 for Attentive Crowd Flow Machines
Figure 3 for Attentive Crowd Flow Machines
Figure 4 for Attentive Crowd Flow Machines
* ACM MM, full paper 
  Access Paper or Ask Questions

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

Figure 1 for SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification
Figure 2 for SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification
Figure 3 for SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification
Figure 4 for SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification
* 10 pages, 3 figures 
  Access Paper or Ask Questions

Deep Structured Scene Parsing by Learning with Image Descriptions


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

Figure 1 for Deep Structured Scene Parsing by Learning with Image Descriptions
Figure 2 for Deep Structured Scene Parsing by Learning with Image Descriptions
Figure 3 for Deep Structured Scene Parsing by Learning with Image Descriptions
Figure 4 for Deep Structured Scene Parsing by Learning with Image Descriptions
* Discovering a semantic object hierarchy with object interaction relations (Publhised in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (oral)) 
  Access Paper or Ask Questions

Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions


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

Figure 1 for Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions
Figure 2 for Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions
Figure 3 for Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions
Figure 4 for Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions
* Accepted by Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2018 
  Access Paper or Ask Questions

Progressively Diffused Networks for Semantic Image Segmentation


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

Figure 1 for Progressively Diffused Networks for Semantic Image Segmentation
Figure 2 for Progressively Diffused Networks for Semantic Image Segmentation
Figure 3 for Progressively Diffused Networks for Semantic Image Segmentation
Figure 4 for Progressively Diffused Networks for Semantic Image Segmentation
* Sun Yat-sen University, The Chinese University of Hong Kong 
  Access Paper or Ask Questions

Cost-Effective Active Learning for Deep Image Classification


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

Figure 1 for Cost-Effective Active Learning for Deep Image Classification
Figure 2 for Cost-Effective Active Learning for Deep Image Classification
Figure 3 for Cost-Effective Active Learning for Deep Image Classification
Figure 4 for Cost-Effective Active Learning for Deep Image Classification
* Accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2016 
  Access Paper or Ask Questions

Geometric Scene Parsing with Hierarchical LSTM


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

Figure 1 for Geometric Scene Parsing with Hierarchical LSTM
Figure 2 for Geometric Scene Parsing with Hierarchical LSTM
Figure 3 for Geometric Scene Parsing with Hierarchical LSTM
Figure 4 for Geometric Scene Parsing with Hierarchical LSTM
* To be presented at IJCAI'16 
  Access Paper or Ask Questions

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

Figure 1 for Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification
Figure 2 for Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification
Figure 3 for Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification
Figure 4 for Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification
* 14 pages, 5 figures. IEEE Transactions on Image Processing 2015 
  Access Paper or Ask Questions

Deep Boosting: Layered Feature Mining for General Image Classification


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

Figure 1 for Deep Boosting: Layered Feature Mining for General Image Classification
Figure 2 for Deep Boosting: Layered Feature Mining for General Image Classification
Figure 3 for Deep Boosting: Layered Feature Mining for General Image Classification
Figure 4 for Deep Boosting: Layered Feature Mining for General Image Classification
* Multimedia and Expo (ICME), 2014 IEEE International Conference on , vol., no., pp.1,6, 14-18 July 2014 
 * 6 pages, 4 figures, ICME 2014 
  Access Paper or Ask Questions

Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling


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

Figure 1 for Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling
Figure 2 for Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling
Figure 3 for Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling
Figure 4 for Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling
* Circuits and Systems for Video Technology, IEEE Transactions on , vol.PP, no.99, pp.1,1, 2014 
 * 11 pages, 7 figures 
  Access Paper or Ask Questions