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 Jian Yang

Jian Yang

Learning Normal Dynamics in Videos with Meta Prototype Network


May 10, 2021
Hui Lv, Chen Chen, Zhen Cui, Chunyan Xu, Yong Li, Jian Yang

Figure 1 for Learning Normal Dynamics in Videos with Meta Prototype Network
Figure 2 for Learning Normal Dynamics in Videos with Meta Prototype Network
Figure 3 for Learning Normal Dynamics in Videos with Meta Prototype Network
Figure 4 for Learning Normal Dynamics in Videos with Meta Prototype Network
* 9 pages, 4 figures, 6 tables 
  Access Paper or Ask Questions

Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks


May 03, 2021
Haobo Jiang, Jin Xie, Jian Yang

Figure 1 for Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
Figure 2 for Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
Figure 3 for Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
Figure 4 for Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
* Accepted by AAAI2021 
  Access Paper or Ask Questions

SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network


Apr 19, 2021
Mingmei Cheng, Le Hui, Jin Xie, Jian Yang

Figure 1 for SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
Figure 2 for SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
Figure 3 for SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
Figure 4 for SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network

  Access Paper or Ask Questions

Contrastive Embedding for Generalized Zero-Shot Learning


Mar 30, 2021
Zongyan Han, Zhenyong Fu, Shuo Chen, Jian Yang

Figure 1 for Contrastive Embedding for Generalized Zero-Shot Learning
Figure 2 for Contrastive Embedding for Generalized Zero-Shot Learning
Figure 3 for Contrastive Embedding for Generalized Zero-Shot Learning
Figure 4 for Contrastive Embedding for Generalized Zero-Shot Learning
* Accepted by CVPR2021 
  Access Paper or Ask Questions

Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition


Mar 25, 2021
Guangwei Gao, Yi Yu, Jian Yang, Guo-Jun Qi, Meng Yang

Figure 1 for Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition
Figure 2 for Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition
Figure 3 for Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition
Figure 4 for Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition
* IEEE Transactions on Circuits and Systems for Video Technology, 11 pages, 9 figures 
  Access Paper or Ask Questions

JDSR-GAN: Constructing A Joint and Collaborative Learning Network for Masked Face Super-Resolution


Mar 25, 2021
Guangwei Gao, Lei Tang, Yi Yu, Fei Wu, Huimin Lu, Jian Yang

Figure 1 for JDSR-GAN: Constructing A Joint and Collaborative Learning Network for Masked Face Super-Resolution
Figure 2 for JDSR-GAN: Constructing A Joint and Collaborative Learning Network for Masked Face Super-Resolution
Figure 3 for JDSR-GAN: Constructing A Joint and Collaborative Learning Network for Masked Face Super-Resolution
Figure 4 for JDSR-GAN: Constructing A Joint and Collaborative Learning Network for Masked Face Super-Resolution
* 24 pages, 10 figures 
  Access Paper or Ask Questions

MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation


Mar 24, 2021
Guangwei Gao, Guoan Xu, Yi Yu, Jin Xie, Jian Yang, Dong Yue

Figure 1 for MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation
Figure 2 for MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation
Figure 3 for MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation
Figure 4 for MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation
* 10 pages, 7 figures 
  Access Paper or Ask Questions

BlonD: An Automatic Evaluation Metric for Document-level MachineTranslation


Mar 22, 2021
Yuchen Jiang, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Ming Zhou

Figure 1 for BlonD: An Automatic Evaluation Metric for Document-level MachineTranslation
Figure 2 for BlonD: An Automatic Evaluation Metric for Document-level MachineTranslation
Figure 3 for BlonD: An Automatic Evaluation Metric for Document-level MachineTranslation
Figure 4 for BlonD: An Automatic Evaluation Metric for Document-level MachineTranslation
* 8 pages 
  Access Paper or Ask Questions

Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction


Mar 10, 2021
Xuran Xu, Tong Zhang, Chunyan Xu, Zhen Cui, Jian Yang

Figure 1 for Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction
Figure 2 for Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction
Figure 3 for Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction
Figure 4 for Spatial-Temporal Tensor Graph Convolutional Network for Traffic Prediction

  Access Paper or Ask Questions

Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model


Jan 14, 2021
Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong

Figure 1 for Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
Figure 2 for Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
Figure 3 for Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
Figure 4 for Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model

  Access Paper or Ask Questions

Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition


Jan 07, 2021
Le Hui, Mingmei Cheng, Jin Xie, Jian Yang

Figure 1 for Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
Figure 2 for Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
Figure 3 for Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
Figure 4 for Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
* Project page: https://github.com/fpthink/EPC-Net 
  Access Paper or Ask Questions

XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders


Dec 31, 2020
Shuming Ma, Jian Yang, Haoyang Huang, Zewen Chi, Li Dong, Dongdong Zhang, Hany Hassan Awadalla, Alexandre Muzio, Akiko Eriguchi, Saksham Singhal, Xia Song, Arul Menezes, Furu Wei

Figure 1 for XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders
Figure 2 for XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders
Figure 3 for XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders
Figure 4 for XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders

  Access Paper or Ask Questions

Globally Optimal Relative Pose Estimation with Gravity Prior


Dec 01, 2020
Yaqing Ding, Daniel Barath, Jian Yang, Hui Kong, Zuzana Kukelova

Figure 1 for Globally Optimal Relative Pose Estimation with Gravity Prior
Figure 2 for Globally Optimal Relative Pose Estimation with Gravity Prior
Figure 3 for Globally Optimal Relative Pose Estimation with Gravity Prior
Figure 4 for Globally Optimal Relative Pose Estimation with Gravity Prior

  Access Paper or Ask Questions

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection


Nov 25, 2020
Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

Figure 1 for Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
Figure 2 for Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
Figure 3 for Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
Figure 4 for Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection

  Access Paper or Ask Questions

Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising


Oct 23, 2020
Yali Peng, Yue Cao, Shigang Liu, Jian Yang, Wangmeng Zuo

Figure 1 for Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising
Figure 2 for Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising
Figure 3 for Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising
Figure 4 for Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising
* 13 pages, 7 figures code: https://github.com/happycaoyue/PT-MWRN 
  Access Paper or Ask Questions

Interest-Behaviour Multiplicative Network for Resource-limited Recommendation


Oct 10, 2020
Qianliang Wu, Tong Zhang, Zhen Cui, Jian Yang

Figure 1 for Interest-Behaviour Multiplicative Network for Resource-limited Recommendation
Figure 2 for Interest-Behaviour Multiplicative Network for Resource-limited Recommendation
Figure 3 for Interest-Behaviour Multiplicative Network for Resource-limited Recommendation
Figure 4 for Interest-Behaviour Multiplicative Network for Resource-limited Recommendation

  Access Paper or Ask Questions

Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification


Sep 19, 2020
Sheng Wan, Chen Gong, Shirui Pan, Jie Yang, Jian Yang

Figure 1 for Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Figure 2 for Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Figure 3 for Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Figure 4 for Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification

  Access Paper or Ask Questions

Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning


Sep 19, 2020
Sheng Wan, Shirui Pan, Jian Yang, Chen Gong

Figure 1 for Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Figure 2 for Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Figure 3 for Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Figure 4 for Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning

  Access Paper or Ask Questions

Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration


Sep 07, 2020
Zezhou Sun, Banghe Wu, Cheng-Zhong Xu, Sanjay E. Sarma, Jian Yang, Hui Kong

Figure 1 for Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration
Figure 2 for Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration
Figure 3 for Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration
Figure 4 for Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration

  Access Paper or Ask Questions

Spatial Transformer Point Convolution


Sep 03, 2020
Yuan Fang, Chunyan Xu, Zhen Cui, Yuan Zong, Jian Yang


  Access Paper or Ask Questions

Learning Adaptive Embedding Considering Incremental Class


Aug 31, 2020
Yang Yang, Zhen-Qiang Sun, HengShu Zhu, Yanjie Fu, Hui Xiong, Jian Yang

Figure 1 for Learning Adaptive Embedding Considering Incremental Class
Figure 2 for Learning Adaptive Embedding Considering Incremental Class
Figure 3 for Learning Adaptive Embedding Considering Incremental Class
Figure 4 for Learning Adaptive Embedding Considering Incremental Class
* 15 pages, 11 figures 
  Access Paper or Ask Questions

Localizing Anomalies from Weakly-Labeled Videos


Aug 20, 2020
Hui Lv, Chuanwei Zhou, Chunyan Xu, Zhen Cui, Jian Yang

Figure 1 for Localizing Anomalies from Weakly-Labeled Videos
Figure 2 for Localizing Anomalies from Weakly-Labeled Videos
Figure 3 for Localizing Anomalies from Weakly-Labeled Videos
Figure 4 for Localizing Anomalies from Weakly-Labeled Videos

  Access Paper or Ask Questions

Instance-Aware Graph Convolutional Network for Multi-Label Classification


Aug 19, 2020
Yun Wang, Tong Zhang, Zhen Cui, Chunyan Xu, Jian Yang

Figure 1 for Instance-Aware Graph Convolutional Network for Multi-Label Classification
Figure 2 for Instance-Aware Graph Convolutional Network for Multi-Label Classification
Figure 3 for Instance-Aware Graph Convolutional Network for Multi-Label Classification
Figure 4 for Instance-Aware Graph Convolutional Network for Multi-Label Classification

  Access Paper or Ask Questions

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification


Aug 11, 2020
Yang Yang, Zhen-Qiang Sun, Hui Xiong, Jian Yang

Figure 1 for S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification
Figure 2 for S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification
Figure 3 for S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification
Figure 4 for S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification
* 10 pages, 3 figures 
  Access Paper or Ask Questions

Graph Wasserstein Correlation Analysis for Movie Retrieval


Aug 06, 2020
Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui, Jian Yang

Figure 1 for Graph Wasserstein Correlation Analysis for Movie Retrieval
Figure 2 for Graph Wasserstein Correlation Analysis for Movie Retrieval
Figure 3 for Graph Wasserstein Correlation Analysis for Movie Retrieval
Figure 4 for Graph Wasserstein Correlation Analysis for Movie Retrieval

  Access Paper or Ask Questions

Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation


Jul 30, 2020
Mingmei Cheng, Le Hui, Jin Xie, Jian Yang, Hui Kong

Figure 1 for Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation
Figure 2 for Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation
Figure 3 for Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation
Figure 4 for Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation
* Accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems 2020 (IROS) 
  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