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 Xiaopeng Zhang

Xiaopeng Zhang

Bag of Instances Aggregation Boosts Self-supervised Learning


Jul 04, 2021
Haohang Xu, Jiemin Fang, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian

Figure 1 for Bag of Instances Aggregation Boosts Self-supervised Learning
Figure 2 for Bag of Instances Aggregation Boosts Self-supervised Learning
Figure 3 for Bag of Instances Aggregation Boosts Self-supervised Learning
Figure 4 for Bag of Instances Aggregation Boosts Self-supervised Learning

  Access Paper or Ask Questions

Multi-dataset Pretraining: A Unified Model for Semantic Segmentation


Jun 08, 2021
Bowen Shi, Xiaopeng Zhang, Haohang Xu, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian

Figure 1 for Multi-dataset Pretraining: A Unified Model for Semantic Segmentation
Figure 2 for Multi-dataset Pretraining: A Unified Model for Semantic Segmentation
Figure 3 for Multi-dataset Pretraining: A Unified Model for Semantic Segmentation
Figure 4 for Multi-dataset Pretraining: A Unified Model for Semantic Segmentation

  Access Paper or Ask Questions

Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling


Jun 04, 2021
Zhenhui Xu, Meng Zhao, Liqun Liu, Xiaopeng Zhang, Bifeng Zhang

Figure 1 for Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
Figure 2 for Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
Figure 3 for Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
Figure 4 for Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
* 10 pages, under review 
  Access Paper or Ask Questions

MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens


May 31, 2021
Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, Qi Tian

Figure 1 for MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
Figure 2 for MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
Figure 3 for MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
Figure 4 for MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens

  Access Paper or Ask Questions

What Is Considered Complete for Visual Recognition?


May 28, 2021
Lingxi Xie, Xiaopeng Zhang, Longhui Wei, Jianlong Chang, Qi Tian

Figure 1 for What Is Considered Complete for Visual Recognition?
Figure 2 for What Is Considered Complete for Visual Recognition?
Figure 3 for What Is Considered Complete for Visual Recognition?
Figure 4 for What Is Considered Complete for Visual Recognition?
* 13 pages, 5 figures, 1 table 
  Access Paper or Ask Questions

Semi-supervised Contrastive Learning with Similarity Co-calibration


May 16, 2021
Yuhang Zhang, Xiaopeng Zhang, Robert. C. Qiu, Jie Li, Haohang Xu, Qi Tian

Figure 1 for Semi-supervised Contrastive Learning with Similarity Co-calibration
Figure 2 for Semi-supervised Contrastive Learning with Similarity Co-calibration
Figure 3 for Semi-supervised Contrastive Learning with Similarity Co-calibration
Figure 4 for Semi-supervised Contrastive Learning with Similarity Co-calibration

  Access Paper or Ask Questions

Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation


May 12, 2021
Hu Cao, Yueyue Wang, Joy Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, Manning Wang

Figure 1 for Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Figure 2 for Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Figure 3 for Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Figure 4 for Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
* a drafted manuscript 
  Access Paper or Ask Questions

Deep Deformation Detail Synthesis for Thin Shell Models


Feb 23, 2021
Lan Chen, Lin Gao, Jie Yang, Shibiao Xu, Juntao Ye, Xiaopeng Zhang, Yu-Kun Lai

Figure 1 for Deep Deformation Detail Synthesis for Thin Shell Models
Figure 2 for Deep Deformation Detail Synthesis for Thin Shell Models
Figure 3 for Deep Deformation Detail Synthesis for Thin Shell Models
Figure 4 for Deep Deformation Detail Synthesis for Thin Shell Models
* 15 pages, 16 figures 
  Access Paper or Ask Questions

Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss


Jan 28, 2021
Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian

Figure 1 for Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Figure 2 for Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Figure 3 for Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Figure 4 for Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
* 15 pages, 6 figures, 9 tables, codes are available at https://github.com/yangxue0827/RotationDetection 
  Access Paper or Ask Questions

Hierarchical Semantic Aggregation for Contrastive Representation Learning


Dec 04, 2020
Haohang Xu, Xiaopeng Zhang, Hao Li, Lingxi Xie, Hongkai Xiong, Qi Tian

Figure 1 for Hierarchical Semantic Aggregation for Contrastive Representation Learning
Figure 2 for Hierarchical Semantic Aggregation for Contrastive Representation Learning
Figure 3 for Hierarchical Semantic Aggregation for Contrastive Representation Learning
Figure 4 for Hierarchical Semantic Aggregation for Contrastive Representation Learning

  Access Paper or Ask Questions

Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations


Nov 19, 2020
Xinyue Huo, Lingxi Xie, Longhui Wei, Xiaopeng Zhang, Hao Li, Zijie Yang, Wengang Zhou, Houqiang Li, Qi Tian

Figure 1 for Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Figure 2 for Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Figure 3 for Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Figure 4 for Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
* 10 pages, 4 figures, 6 tables 
  Access Paper or Ask Questions

Scene text removal via cascaded text stroke detection and erasing


Nov 19, 2020
Xuewei Bian, Chaoqun Wang, Weize Quan, Juntao Ye, Xiaopeng Zhang, Dong-Ming Yan

Figure 1 for Scene text removal via cascaded text stroke detection and erasing
Figure 2 for Scene text removal via cascaded text stroke detection and erasing
Figure 3 for Scene text removal via cascaded text stroke detection and erasing
Figure 4 for Scene text removal via cascaded text stroke detection and erasing
* 14 pages, 9 figures 
  Access Paper or Ask Questions

Can Semantic Labels Assist Self-Supervised Visual Representation Learning?


Nov 17, 2020
Longhui Wei, Lingxi Xie, Jianzhong He, Jianlong Chang, Xiaopeng Zhang, Wengang Zhou, Houqiang Li, Qi Tian

Figure 1 for Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Figure 2 for Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Figure 3 for Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Figure 4 for Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
* 10 pages, 4 figures, 8 tables 
  Access Paper or Ask Questions

Center-wise Local Image Mixture For Contrastive Representation Learning


Nov 05, 2020
Hao Li, Xiaopeng Zhang, Ruoyu Sun, Hongkai Xiong, Qi Tian

Figure 1 for Center-wise Local Image Mixture For Contrastive Representation Learning
Figure 2 for Center-wise Local Image Mixture For Contrastive Representation Learning
Figure 3 for Center-wise Local Image Mixture For Contrastive Representation Learning
Figure 4 for Center-wise Local Image Mixture For Contrastive Representation Learning

  Access Paper or Ask Questions

Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap


Aug 05, 2020
Lingxi Xie, Xin Chen, Kaifeng Bi, Longhui Wei, Yuhui Xu, Zhengsu Chen, Lanfei Wang, An Xiao, Jianlong Chang, Xiaopeng Zhang, Qi Tian

Figure 1 for Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Figure 2 for Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Figure 3 for Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Figure 4 for Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
* 24 pages, 3 figures, 2 tables, meta data updated 
  Access Paper or Ask Questions

Accurate 2D soft segmentation of medical image via SoftGAN network


Jul 29, 2020
Changwei Wang, Rongtao Xu, Shibiao Xu, Weiliang Meng, Jun Xiao, Qimin Peng, Xiaopeng Zhang

Figure 1 for Accurate 2D soft segmentation of medical image via SoftGAN network
Figure 2 for Accurate 2D soft segmentation of medical image via SoftGAN network
Figure 3 for Accurate 2D soft segmentation of medical image via SoftGAN network
Figure 4 for Accurate 2D soft segmentation of medical image via SoftGAN network

  Access Paper or Ask Questions

Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks


Jun 25, 2020
Peng Zhou, Lingxi Xie, Xiaopeng Zhang, Bingbing Ni, Qi Tian

Figure 1 for Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks
Figure 2 for Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks
Figure 3 for Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks
Figure 4 for Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks
* 20 pages. Code is available at \url{https://github.com/PeterouZh/NAS_cGAN} 
  Access Paper or Ask Questions

Distilling Object Detectors with Task Adaptive Regularization


Jun 23, 2020
Ruoyu Sun, Fuhui Tang, Xiaopeng Zhang, Hongkai Xiong, Qi Tian

Figure 1 for Distilling Object Detectors with Task Adaptive Regularization
Figure 2 for Distilling Object Detectors with Task Adaptive Regularization
Figure 3 for Distilling Object Detectors with Task Adaptive Regularization
Figure 4 for Distilling Object Detectors with Task Adaptive Regularization

  Access Paper or Ask Questions

A survey on deep hashing for image retrieval


Jun 10, 2020
Xiaopeng Zhang

Figure 1 for A survey on deep hashing for image retrieval
Figure 2 for A survey on deep hashing for image retrieval
Figure 3 for A survey on deep hashing for image retrieval
Figure 4 for A survey on deep hashing for image retrieval

  Access Paper or Ask Questions

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients


May 12, 2020
Chengcheng Ma, Baoyuan Wu, Shibiao Xu, Yanbo Fan, Yong Zhang, Xiaopeng Zhang, Zhifeng Li

Figure 1 for Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients
Figure 2 for Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients
Figure 3 for Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients
Figure 4 for Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients

  Access Paper or Ask Questions

Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition


Apr 06, 2020
Hao Li, Xiaopeng Zhang, Hongkai Xiong, Qi Tian

Figure 1 for Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Figure 2 for Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Figure 3 for Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Figure 4 for Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition

  Access Paper or Ask Questions

Circumventing Outliers of AutoAugment with Knowledge Distillation


Mar 25, 2020
Longhui Wei, An Xiao, Lingxi Xie, Xin Chen, Xiaopeng Zhang, Qi Tian

Figure 1 for Circumventing Outliers of AutoAugment with Knowledge Distillation
Figure 2 for Circumventing Outliers of AutoAugment with Knowledge Distillation
Figure 3 for Circumventing Outliers of AutoAugment with Knowledge Distillation
Figure 4 for Circumventing Outliers of AutoAugment with Knowledge Distillation
* 18 pages, 4 figures 
  Access Paper or Ask Questions

MGCN: Descriptor Learning using Multiscale GCNs


Jan 28, 2020
Yiqun Wang, Jing Ren, Dong-Ming Yan, Jianwei Guo, Xiaopeng Zhang, Peter Wonka

Figure 1 for MGCN: Descriptor Learning using Multiscale GCNs
Figure 2 for MGCN: Descriptor Learning using Multiscale GCNs
Figure 3 for MGCN: Descriptor Learning using Multiscale GCNs
Figure 4 for MGCN: Descriptor Learning using Multiscale GCNs

  Access Paper or Ask Questions

Latency-Aware Differentiable Neural Architecture Search


Jan 17, 2020
Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Bowen Shi, Qi Tian, Hongkai Xiong

Figure 1 for Latency-Aware Differentiable Neural Architecture Search
Figure 2 for Latency-Aware Differentiable Neural Architecture Search
Figure 3 for Latency-Aware Differentiable Neural Architecture Search
Figure 4 for Latency-Aware Differentiable Neural Architecture Search
* 11 pages, 7 figures 
  Access Paper or Ask Questions

Capacity Preserving Mapping for High-dimensional Data Visualization


Sep 29, 2019
Rongrong Wang, Xiaopeng Zhang

Figure 1 for Capacity Preserving Mapping for High-dimensional Data Visualization
Figure 2 for Capacity Preserving Mapping for High-dimensional Data Visualization
Figure 3 for Capacity Preserving Mapping for High-dimensional Data Visualization
Figure 4 for Capacity Preserving Mapping for High-dimensional Data Visualization

  Access Paper or Ask Questions

Central Similarity Hashing via Hadamard matrix


Aug 01, 2019
Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng

Figure 1 for Central Similarity Hashing via Hadamard matrix
Figure 2 for Central Similarity Hashing via Hadamard matrix
Figure 3 for Central Similarity Hashing via Hadamard matrix
Figure 4 for Central Similarity Hashing via Hadamard matrix
* Codes: https://github.com/yuanli2333/Hadamard-Matrix-for-hashing 
  Access Paper or Ask Questions

PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search


Jul 12, 2019
Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong

Figure 1 for PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
Figure 2 for PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
Figure 3 for PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
Figure 4 for PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
* 10 pages,Code is available: https://github.com/yuhuixu1993/PC-DARTS 
  Access Paper or Ask Questions

Distilling Object Detectors with Fine-grained Feature Imitation


Jun 09, 2019
Tao Wang, Li Yuan, Xiaopeng Zhang, Jiashi Feng

Figure 1 for Distilling Object Detectors with Fine-grained Feature Imitation
Figure 2 for Distilling Object Detectors with Fine-grained Feature Imitation
Figure 3 for Distilling Object Detectors with Fine-grained Feature Imitation
Figure 4 for Distilling Object Detectors with Fine-grained Feature Imitation
* accepted at CVPR2019 code:https://github.com/twangnh/Distilling-Object-Detectors 
  Access Paper or Ask Questions

Low-Power Computer Vision: Status, Challenges, Opportunities


Apr 15, 2019
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong Gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo

Figure 1 for Low-Power Computer Vision: Status, Challenges, Opportunities
Figure 2 for Low-Power Computer Vision: Status, Challenges, Opportunities
Figure 3 for Low-Power Computer Vision: Status, Challenges, Opportunities
Figure 4 for Low-Power Computer Vision: Status, Challenges, Opportunities
* Preprint, Accepted by IEEE Journal on Emerging and Selected Topics in Circuits and Systems. arXiv admin note: substantial text overlap with arXiv:1810.01732 
  Access Paper or Ask Questions

Few-shot Adaptive Faster R-CNN


Mar 22, 2019
Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng

Figure 1 for Few-shot Adaptive Faster R-CNN
Figure 2 for Few-shot Adaptive Faster R-CNN
Figure 3 for Few-shot Adaptive Faster R-CNN
Figure 4 for Few-shot Adaptive Faster R-CNN
* Accepted at CVPR 2019 
  Access Paper or Ask Questions