Jing Zhang

According to our database, Jing Zhang authored at least 27 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Toward Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline.

Lichen Zhao, Daigang Cai, Jing Zhang, Lu Sheng, Dong Xu, Rui Zheng, Yinjie Zhao, Lipeng Wang, Xibo Fan

IEEE Trans. Circuits Syst. Video Technol., June, 2023

Distortion-aware Transformer in 360° Salient Object Detection.

Yinjie Zhao, Lichen Zhao, Qian Yu, Lu Sheng, Jing Zhang, Dong Xu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

PCHM-Net: A New Point Cloud Compression Framework for Both Human Vision and Machine Vision.

Lei Liu, Zhihao Hu, Jing Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection.

Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, Jing Zhang, Jian Xiong, Lizhe Wang

IEEE Trans. Knowl. Data Eng., 2022

VDM-DA: Virtual Domain Modeling for Source Data-Free Domain Adaptation.

Jiayi Tian, Jing Zhang, Wen Li, Dong Xu

IEEE Trans. Circuits Syst. Video Technol., 2022

Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation.

Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds.

Daigang Cai, Lichen Zhao, Jing Zhang, Lu Sheng, Dong Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Progressive Modality Cooperation for Multi-Modality Domain Adaptation.

Weichen Zhang, Dong Xu, Jing Zhang, Wanli Ouyang

IEEE Trans. Image Process., 2021

Few-Shot Domain Expansion for Face Anti-Spoofing.

Bowen Yang, Jing Zhang, Zhenfei Yin, Jing Shao

CoRR, 2021

Source Data-free Unsupervised Domain Adaptation for Semantic Segmentation.

Mucong Ye, Jing Zhang, Jinpeng Ouyang, Ding Yuan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

ServeNet-LT: A Normalized Multi-head Deep Neural Network for Long-tailed Web Services Classification.

Jing Zhang, Yang Chen, Yilong Yang, Changran Lei, Deqiang Wang

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Transfer Learning for Web Services Classification.

Yilong Yang, Zhaotian Li, Jing Zhang, Yang Chen

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

MMA-Net: A MultiModal-Attention-Based Deep Neural Network for Web Services Classification.

Jing Zhang, Changran Lei, Yilong Yang, Borui Wang, Yang Chen

Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

2020

Unsupervised Domain Expansion from Multiple Sources.

Jing Zhang, Wanqing Li, Lu Sheng, Chang Tang, Philip Ogunbona

CoRR, 2020

Enhanced Feature Pyramid Network for Semantic Segmentation.

Mucong Ye, Jingpeng Ouyang, Ge Chen, Jing Zhang, Xiaogang Yu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Unsupervised domain adaptation: A multi-task learning-based method.

Jing Zhang, Wanqing Li, Philip Ogunbona

Knowl. Based Syst., 2019

Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective.

Jing Zhang, Wanqing Li, Philip Ogunbona, Dong Xu

ACM Comput. Surv., 2019

2018

Importance Weighted Adversarial Nets for Partial Domain Adaptation.

Jing Zhang, Zewei Ding, Wanqing Li, Philip Ogunbona

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Cross-Dataset Recognition: A Survey.

Jing Zhang, Wanqing Li, Philip Ogunbona

CoRR, 2017

Joint Geometrical and Statistical Alignment for Visual Domain Adaptation.

Jing Zhang, Wanqing Li, Philip Ogunbona

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Action Recognition From Depth Maps Using Deep Convolutional Neural Networks.

Pichao Wang, Wanqing Li, Zhimin Gao, Jing Zhang, Chang Tang, Philip O. Ogunbona

IEEE Trans. Hum. Mach. Syst., 2016

RGB-D-based action recognition datasets: A survey.

Jing Zhang, Wanqing Li, Philip O. Ogunbona, Pichao Wang, Chang Tang

Pattern Recognit., 2016

A Large Scale RGB-D Dataset for Action Recognition.

Jing Zhang, Wanqing Li, Pichao Wang, Philip Ogunbona, Song Liu, Chang Tang

Proceedings of the Understanding Human Activities Through 3D Sensors, 2016

2015

Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences.

Pichao Wang, Wanqing Li, Zhimin Gao, Jing Zhang, Chang Tang, Philip Ogunbona

CoRR, 2015

Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors.

Chang Tang, Wanqing Li, Chunping Hou, Pichao Wang, Yonghong Hou, Jing Zhang, Philip O. Ogunbona

CoRR, 2015

ConvNets-Based Action Recognition from Depth Maps through Virtual Cameras and Pseudocoloring.

Pichao Wang, Wanqing Li, Zhimin Gao, Chang Tang, Jing Zhang, Philip Ogunbona

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2012

A Comparison of Testing Metrics between 3D LCD TV and 3D PDP TV.

Jing Zhang, Sumei Li, Lili Shen, Chunping Hou

Proceedings of the Advances on Digital Television and Wireless Multimedia Communications, 2012