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

Add to Chrome

Add to Firefox

Picture for Qing Zhang

Qing Zhang

Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

Jul 15, 2022
Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li

Figure 1 for Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

Figure 2 for Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

Figure 3 for Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

Figure 4 for Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

* Paper and Supp of our work accepted by ACM MM 2022

Access Paper or Ask Questions

Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

Mar 30, 2022
Tiezheng Ma, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li

Figure 1 for Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

Figure 2 for Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

Figure 3 for Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

Figure 4 for Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

* Already accepted by CVPR2022

Access Paper or Ask Questions

Deep Filtering with DNN, CNN and RNN

Dec 27, 2021
Bin Xie, Qing Zhang

Figure 1 for Deep Filtering with DNN, CNN and RNN

Figure 2 for Deep Filtering with DNN, CNN and RNN

Figure 3 for Deep Filtering with DNN, CNN and RNN

Figure 4 for Deep Filtering with DNN, CNN and RNN

* arXiv admin note: text overlap with arXiv:2008.03878

Access Paper or Ask Questions

Two New Stenosis Detection Methods of Coronary Angiograms

Dec 14, 2021
Yaofang Liu, Xinyue Zhang, Wenlong Wan, Shaoyu Liu, Yingdi Liu, Hu Liu, Xueying Zeng, Qing Zhang

Figure 1 for Two New Stenosis Detection Methods of Coronary Angiograms

Figure 2 for Two New Stenosis Detection Methods of Coronary Angiograms

Figure 3 for Two New Stenosis Detection Methods of Coronary Angiograms

Figure 4 for Two New Stenosis Detection Methods of Coronary Angiograms

* We submitted the paper due to an operational error. This paper is a modified version of the original paper Two New Stenoses Detection Methods of Coronary Angiograms (arXiv:2108.01516). And we will update the revised paper to the original paper later

Access Paper or Ask Questions

MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

Aug 17, 2021
Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li

Figure 1 for MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

Figure 2 for MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

Figure 3 for MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

Figure 4 for MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

* The latest camera ready version (this paper has been accepted by ICCV2021)

Access Paper or Ask Questions

A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction

Aug 16, 2021
Zhian Liu, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li

Figure 1 for A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction

Figure 2 for A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction

Figure 3 for A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction

Figure 4 for A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction

* Accepted to 2021 International Conference on Computer Vision (oral)

Access Paper or Ask Questions

From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

Aug 06, 2021
Ye Liu, Lei Zhu, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, Wei Feng

Figure 1 for From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

Figure 2 for From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

Figure 3 for From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

Figure 4 for From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

* 8 pages, 6 figures, ACMMM 2021

Access Paper or Ask Questions