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 Rui Xu

Rui Xu

Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution


Mar 24, 2021
Baoli Sun, Xinchen Ye, Baopu Li, Haojie Li, Zhihui Wang, Rui Xu

Figure 1 for Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
Figure 2 for Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
Figure 3 for Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
Figure 4 for Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution

  Access Paper or Ask Questions

BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training


Jan 14, 2021
Letian Zhao, Rui Xu, Tianqi Wang, Teng Tian, Xiaotian Wang, Wei Wu, Chio-in Ieong, Xi Jin

Figure 1 for BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training
Figure 2 for BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training
Figure 3 for BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training
Figure 4 for BaPipe: Exploration of Balanced Pipeline Parallelism for DNN Training

  Access Paper or Ask Questions

Positional Encoding as Spatial Inductive Bias in GANs


Dec 09, 2020
Rui Xu, Xintao Wang, Kai Chen, Bolei Zhou, Chen Change Loy

Figure 1 for Positional Encoding as Spatial Inductive Bias in GANs
Figure 2 for Positional Encoding as Spatial Inductive Bias in GANs
Figure 3 for Positional Encoding as Spatial Inductive Bias in GANs
Figure 4 for Positional Encoding as Spatial Inductive Bias in GANs
* paper with appendix, project page: https://nbei.github.io/gan-pos-encoding.html 
  Access Paper or Ask Questions

CARAFE++: Unified Content-Aware ReAssembly of FEatures


Dec 07, 2020
Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

Figure 1 for CARAFE++: Unified Content-Aware ReAssembly of FEatures
Figure 2 for CARAFE++: Unified Content-Aware ReAssembly of FEatures
Figure 3 for CARAFE++: Unified Content-Aware ReAssembly of FEatures
Figure 4 for CARAFE++: Unified Content-Aware ReAssembly of FEatures
* Technical Report. Extended journal version of the conference paper that appeared as arXiv:1905.02188 
  Access Paper or Ask Questions

VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data


Oct 24, 2020
Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Yen-Wei Chen

Figure 1 for VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data
Figure 2 for VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data
Figure 3 for VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data
Figure 4 for VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data

  Access Paper or Ask Questions

DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization


Oct 23, 2020
Shuai Shao, Mengke Wang, Rui Xu, Yan-Jiang Wang, Bao-Di Liu

Figure 1 for DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization
Figure 2 for DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization
Figure 3 for DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization
Figure 4 for DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization

  Access Paper or Ask Questions

SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning


Oct 23, 2020
Shuai Shao, Rui Xu, Yan-Jiang Wang, Weifeng Liu, Bao-Di Liu

Figure 1 for SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning
Figure 2 for SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning
Figure 3 for SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning
Figure 4 for SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning

  Access Paper or Ask Questions

Texture Memory-Augmented Deep Patch-Based Image Inpainting


Sep 28, 2020
Rui Xu, Minghao Guo, Jiaqi Wang, Xiaoxiao Li, Bolei Zhou, Chen Change Loy

Figure 1 for Texture Memory-Augmented Deep Patch-Based Image Inpainting
Figure 2 for Texture Memory-Augmented Deep Patch-Based Image Inpainting
Figure 3 for Texture Memory-Augmented Deep Patch-Based Image Inpainting
Figure 4 for Texture Memory-Augmented Deep Patch-Based Image Inpainting
* Technical Report 
  Access Paper or Ask Questions

Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow


Sep 11, 2020
Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang

Figure 1 for Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow
Figure 2 for Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow
Figure 3 for Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow
Figure 4 for Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow
* 35 pages, 10 figures, and 6 tables 
  Access Paper or Ask Questions

Progressive Point Cloud Deconvolution Generation Network


Jul 10, 2020
Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang

Figure 1 for Progressive Point Cloud Deconvolution Generation Network
Figure 2 for Progressive Point Cloud Deconvolution Generation Network
Figure 3 for Progressive Point Cloud Deconvolution Generation Network
Figure 4 for Progressive Point Cloud Deconvolution Generation Network
* Accepted to ECCV 2020; Project page: https://github.com/fpthink/PDGN 
  Access Paper or Ask Questions

Discovering Symbolic Models from Deep Learning with Inductive Biases


Jun 19, 2020
Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, Rui Xu, Kyle Cranmer, David Spergel, Shirley Ho

Figure 1 for Discovering Symbolic Models from Deep Learning with Inductive Biases
Figure 2 for Discovering Symbolic Models from Deep Learning with Inductive Biases
Figure 3 for Discovering Symbolic Models from Deep Learning with Inductive Biases
Figure 4 for Discovering Symbolic Models from Deep Learning with Inductive Biases
* 9 pages content + 14 pages appendix/references. Supporting code found at https://github.com/MilesCranmer/symbolic_deep_learning 
  Access Paper or Ask Questions

Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network


Apr 24, 2020
Rui Xu, Tiantian Liu, Xinchen Ye, Yen-Wei Chen

Figure 1 for Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network
Figure 2 for Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network
Figure 3 for Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network
Figure 4 for Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network

  Access Paper or Ask Questions

Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers


Nov 26, 2019
Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song

Figure 1 for Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
Figure 2 for Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
Figure 3 for Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
Figure 4 for Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
* AAAI 2020 
  Access Paper or Ask Questions

When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks


Nov 26, 2019
Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu

Figure 1 for When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Figure 2 for When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Figure 3 for When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Figure 4 for When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
* First two authors contributed equally 
  Access Paper or Ask Questions

Learning Symbolic Physics with Graph Networks


Sep 12, 2019
Miles D. Cranmer, Rui Xu, Peter Battaglia, Shirley Ho

Figure 1 for Learning Symbolic Physics with Graph Networks
Figure 2 for Learning Symbolic Physics with Graph Networks
Figure 3 for Learning Symbolic Physics with Graph Networks
* 5 pages; 3 figures; submitted to Machine Learning and the Physical Sciences Workshop @ NeurIPS 2019 
  Access Paper or Ask Questions

A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading


Aug 14, 2019
Ya Zhao, Rui Xu, Mingli Song

Figure 1 for A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
Figure 2 for A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
Figure 3 for A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading
Figure 4 for A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading

  Access Paper or Ask Questions

Deep Flow-Guided Video Inpainting


May 08, 2019
Rui Xu, Xiaoxiao Li, Bolei Zhou, Chen Change Loy

Figure 1 for Deep Flow-Guided Video Inpainting
Figure 2 for Deep Flow-Guided Video Inpainting
Figure 3 for Deep Flow-Guided Video Inpainting
Figure 4 for Deep Flow-Guided Video Inpainting
* cvpr'19 
  Access Paper or Ask Questions

CARAFE: Content-Aware ReAssembly of FEatures


May 07, 2019
Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

Figure 1 for CARAFE: Content-Aware ReAssembly of FEatures
Figure 2 for CARAFE: Content-Aware ReAssembly of FEatures
Figure 3 for CARAFE: Content-Aware ReAssembly of FEatures
Figure 4 for CARAFE: Content-Aware ReAssembly of FEatures
* Technical Report 
  Access Paper or Ask Questions

Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification


Apr 17, 2019
Shuai Shao, Yan-Jiang Wang, Bao-Di Liu, Rui Xu, Ye Li

Figure 1 for Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification
Figure 2 for Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification
Figure 3 for Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification
Figure 4 for Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification
* 11 pages, 10 figures 
  Access Paper or Ask Questions

Label Embedded Dictionary Learning for Image Classification


Apr 17, 2019
Shuai Shao, Yan-Jiang Wang, Bao-Di Liu, Weifeng Liu, Rui Xu

Figure 1 for Label Embedded Dictionary Learning for Image Classification
Figure 2 for Label Embedded Dictionary Learning for Image Classification
Figure 3 for Label Embedded Dictionary Learning for Image Classification
Figure 4 for Label Embedded Dictionary Learning for Image Classification
* 25pages, 12 figures 
  Access Paper or Ask Questions

Power Plant Performance Modeling with Concept Drift


Oct 19, 2017
Rui Xu, Yunwen Xu, Weizhong Yan

Figure 1 for Power Plant Performance Modeling with Concept Drift
Figure 2 for Power Plant Performance Modeling with Concept Drift
Figure 3 for Power Plant Performance Modeling with Concept Drift
Figure 4 for Power Plant Performance Modeling with Concept Drift
* 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, 2017, pp. 2096-2103 
  Access Paper or Ask Questions

Concept Drift Learning with Alternating Learners


Oct 18, 2017
Yunwen Xu, Rui Xu, Weizhong Yan, Paul Ardis

Figure 1 for Concept Drift Learning with Alternating Learners
Figure 2 for Concept Drift Learning with Alternating Learners
Figure 3 for Concept Drift Learning with Alternating Learners
Figure 4 for Concept Drift Learning with Alternating Learners
* Y. Xu, R. Xu, W. Yan and P. Ardis, "Concept drift learning with alternating learners," 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, 2017, pp. 2104-2111 
  Access Paper or Ask Questions