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 Jianwen Xie

Jianwen Xie

Unsupervised Single Image Super-resolution Under Complex Noise


Jul 02, 2021
Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng

Figure 1 for Unsupervised Single Image Super-resolution Under Complex Noise
Figure 2 for Unsupervised Single Image Super-resolution Under Complex Noise
Figure 3 for Unsupervised Single Image Super-resolution Under Complex Noise
Figure 4 for Unsupervised Single Image Super-resolution Under Complex Noise

  Access Paper or Ask Questions

Energy-Based Generative Cooperative Saliency Prediction


Jun 25, 2021
Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes

Figure 1 for Energy-Based Generative Cooperative Saliency Prediction
Figure 2 for Energy-Based Generative Cooperative Saliency Prediction
Figure 3 for Energy-Based Generative Cooperative Saliency Prediction
Figure 4 for Energy-Based Generative Cooperative Saliency Prediction

  Access Paper or Ask Questions

Semi-Supervised Video Deraining with Dynamical Rain Generator


Mar 30, 2021
Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng

Figure 1 for Semi-Supervised Video Deraining with Dynamical Rain Generator
Figure 2 for Semi-Supervised Video Deraining with Dynamical Rain Generator
Figure 3 for Semi-Supervised Video Deraining with Dynamical Rain Generator
Figure 4 for Semi-Supervised Video Deraining with Dynamical Rain Generator
* Accepted by CVPR 2021 
  Access Paper or Ask Questions

Semi-Supervised Video Deraining with Dynamic Rain Generator


Mar 14, 2021
Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng

Figure 1 for Semi-Supervised Video Deraining with Dynamic Rain Generator
Figure 2 for Semi-Supervised Video Deraining with Dynamic Rain Generator
Figure 3 for Semi-Supervised Video Deraining with Dynamic Rain Generator
Figure 4 for Semi-Supervised Video Deraining with Dynamic Rain Generator
* Accepted by CVPR 2021 
  Access Paper or Ask Questions

Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation


Mar 07, 2021
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu

Figure 1 for Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
Figure 2 for Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
Figure 3 for Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
Figure 4 for Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
* The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) 2021 
  Access Paper or Ask Questions

Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler


Dec 29, 2020
Jianwen Xie, Zilong Zheng, Ping Li

Figure 1 for Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
Figure 2 for Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
Figure 3 for Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
Figure 4 for Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler

  Access Paper or Ask Questions

Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis


Dec 25, 2020
Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu

Figure 1 for Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis
Figure 2 for Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis
Figure 3 for Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis
Figure 4 for Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis
* 16 pages. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2020. arXiv admin note: substantial text overlap with arXiv:1804.00586 
  Access Paper or Ask Questions

Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection


Jul 23, 2020
Jing Zhang, Jianwen Xie, Nick Barnes

Figure 1 for Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
Figure 2 for Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
Figure 3 for Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
Figure 4 for Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
* ECCV2020 
  Access Paper or Ask Questions

A Representational Model of Grid Cells Based on Matrix Lie Algebras


Jun 18, 2020
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

Figure 1 for A Representational Model of Grid Cells Based on Matrix Lie Algebras
Figure 2 for A Representational Model of Grid Cells Based on Matrix Lie Algebras
Figure 3 for A Representational Model of Grid Cells Based on Matrix Lie Algebras
Figure 4 for A Representational Model of Grid Cells Based on Matrix Lie Algebras

  Access Paper or Ask Questions

Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification


Apr 02, 2020
Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

Figure 1 for Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification
Figure 2 for Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification
Figure 3 for Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification
Figure 4 for Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification

  Access Paper or Ask Questions

Representation Learning: A Statistical Perspective


Nov 26, 2019
Jianwen Xie, Ruiqi Gao, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu

Figure 1 for Representation Learning: A Statistical Perspective
Figure 2 for Representation Learning: A Statistical Perspective
Figure 3 for Representation Learning: A Statistical Perspective
Figure 4 for Representation Learning: A Statistical Perspective
* Annual Review of Statistics and Its Application 2020 
  Access Paper or Ask Questions

Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns


Nov 26, 2019
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

Figure 1 for Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns
Figure 2 for Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns
Figure 3 for Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns
Figure 4 for Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns
* The Thirty-Fourth AAAI Conference on Artificial Intelligence 2020 
  Access Paper or Ask Questions

Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns


Sep 26, 2019
Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

Figure 1 for Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns
Figure 2 for Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns
Figure 3 for Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns
Figure 4 for Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns
* IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2019 
  Access Paper or Ask Questions

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning


Apr 22, 2019
Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

Figure 1 for Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning
Figure 2 for Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning
Figure 3 for Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning
Figure 4 for Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning
* under review 
  Access Paper or Ask Questions

Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition


Mar 08, 2019
Zhanzhan Cheng, Jing Lu, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu

Figure 1 for Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition
Figure 2 for Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition
Figure 3 for Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition
Figure 4 for Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition

  Access Paper or Ask Questions

Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning


Mar 01, 2019
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal

Figure 1 for Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
Figure 2 for Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
Figure 3 for Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
Figure 4 for Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
* under review 
  Access Paper or Ask Questions

Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model


Feb 07, 2019
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu

Figure 1 for Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model
Figure 2 for Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model
Figure 3 for Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model
Figure 4 for Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model

  Access Paper or Ask Questions

Learning Dynamic Generator Model by Alternating Back-Propagation Through Time


Dec 27, 2018
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

Figure 1 for Learning Dynamic Generator Model by Alternating Back-Propagation Through Time
Figure 2 for Learning Dynamic Generator Model by Alternating Back-Propagation Through Time
Figure 3 for Learning Dynamic Generator Model by Alternating Back-Propagation Through Time
Figure 4 for Learning Dynamic Generator Model by Alternating Back-Propagation Through Time
* The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI) 2019 
 * 10 pages 
  Access Paper or Ask Questions

Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection


Nov 19, 2018
Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu

Figure 1 for Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
Figure 2 for Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
Figure 3 for Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
Figure 4 for Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
* Accepted to Proc. AAAI Conference on Artificial Intelligence 2019 
  Access Paper or Ask Questions

Cooperative Training of Descriptor and Generator Networks


Oct 29, 2018
Jianwen Xie, Yang Lu, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu

Figure 1 for Cooperative Training of Descriptor and Generator Networks
Figure 2 for Cooperative Training of Descriptor and Generator Networks
Figure 3 for Cooperative Training of Descriptor and Generator Networks
Figure 4 for Cooperative Training of Descriptor and Generator Networks
* 18 pages 
  Access Paper or Ask Questions

Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion


Oct 12, 2018
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

Figure 1 for Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion
Figure 2 for Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion
Figure 3 for Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion
Figure 4 for Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion

  Access Paper or Ask Questions

Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer


May 11, 2018
Hao-Shu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu

Figure 1 for Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
Figure 2 for Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
Figure 3 for Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
Figure 4 for Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
* CVPR'18 spotlight 
  Access Paper or Ask Questions

Learning Descriptor Networks for 3D Shape Synthesis and Analysis


Apr 02, 2018
Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu

Figure 1 for Learning Descriptor Networks for 3D Shape Synthesis and Analysis
Figure 2 for Learning Descriptor Networks for 3D Shape Synthesis and Analysis
Figure 3 for Learning Descriptor Networks for 3D Shape Synthesis and Analysis
Figure 4 for Learning Descriptor Networks for 3D Shape Synthesis and Analysis
* CVPR 2018 
  Access Paper or Ask Questions

A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects


Mar 29, 2018
Yuanlu Xu, Lei Qin, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu

Figure 1 for A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects
Figure 2 for A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects
Figure 3 for A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects
Figure 4 for A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects
* accepted by CVPR 2018 
  Access Paper or Ask Questions

Super-Trajectory for Video Segmentation


Jul 24, 2017
Wenguan Wang, Jianbing Shen, Jianwen Xie, Fatih Porikli

Figure 1 for Super-Trajectory for Video Segmentation
Figure 2 for Super-Trajectory for Video Segmentation
Figure 3 for Super-Trajectory for Video Segmentation
Figure 4 for Super-Trajectory for Video Segmentation
* This paper has been published in ICCV 2017 
  Access Paper or Ask Questions

Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet


May 29, 2017
Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

Figure 1 for Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet
Figure 2 for Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet
Figure 3 for Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet
Figure 4 for Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet

  Access Paper or Ask Questions

Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms


Jul 01, 2016
Jianwen Xie, Pamela K. Douglas, Ying Nian Wu, Arthur L. Brody, Ariana E. Anderson

Figure 1 for Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms
Figure 2 for Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms
Figure 3 for Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms
Figure 4 for Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms

  Access Paper or Ask Questions

A Theory of Generative ConvNet


May 31, 2016
Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu

Figure 1 for A Theory of Generative ConvNet
Figure 2 for A Theory of Generative ConvNet
Figure 3 for A Theory of Generative ConvNet

  Access Paper or Ask Questions