Liu Jun

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Assistant Professor

Email: 
Telephone: +65 6499 8895
Office #: 1.502.33
Pillar / Cluster: Information Systems Technology and Design
Research Areas:Artificial and Augmented Intelligence, Visual Computing, Data Science

Biography

Jun Liu received the PhD degree from Nanyang Technological University, the MSC degree from Fudan University, and the BEng degree from Central South University. His research interests include computer vision and artificial intelligence. His works have been published in premier computer vision journals and conferences, including TPAMI, CVPR, ICCV, and ECCV. He received the Best Thesis Award from EEE, Nanyang Technological University, and several best paper awards from PREMIA for the works on video analytics and human activity understanding. He is an Associate Editor of Elsevier Neurocomputing, Springer Signal, Image and Video Processing, IET Computer Vision, IET Image Processing, and SPIE Journal of Electronic Imaging, and Guest Editor of Springer The Visual Computer Journal. He is an organizer of serval international workshops, and Area Chair of ICLR 2022 and WACV 2022.

Open Positions

I am currently looking for motivated PhD students, Research Assistants, and Visiting Students with strong interests in computer vision and machine learning. If interested, kindly contact me via email.

We are hiring Postdoc Fellows and Research Assistants.

Selected Publications

For a full list of my publications, please see my Google Scholar Page.

  • Zhipeng Fan, Jun Liu, Yao Wang, Motion Adaptive Pose Estimation from Compressed Videos, IEEE International Conference on Computer Vision (ICCV), 2021.
  • Tianjiao Li, Qiuhong Ke, Hossein Rahmani, Rui En Ho, Henghui Ding, Jun Liu, Else-Net: Elastic Semantic Network for Action Recognition from Skeleton Data, IEEE International Conference on Computer Vision (ICCV), 2021.
  • Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, et al., A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder, IEEE International Conference on Computer Vision (ICCV), 2021.
  • Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot, Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning, IEEE International Conference on Computer Vision (ICCV), 2021.
  • Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Lingyu Duan, IDM: Intermediate Domain Module for Domain Adaptive Person Re-ID, IEEE International Conference on Computer Vision (ICCV), 2021. (Oral)
  • Henghui Ding, Hui Zhang, Jun Liu, Jiaxin Li, Zijian Feng, Xudong Jiang, Interaction via Bi-directional Graph of Semantic Region Affinity for Scene Parsing, IEEE International Conference on Computer Vision (ICCV), 2021.
  • Li Xu, He Huang, Jun Liu, SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  • Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu, Interventional Video Grounding with Dual Contrastive Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  • Tianjiao Li, Jun Liu, Wei Zhang, Yun Ni, Wenqian Wang, Zhiheng Li, UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  • Yan Bai, Jile Jiao, Ce Wang, Jun Liu, Yihang Lou, Xuetao Feng, Lingyu Duan, Person30K: A Dual-Meta Generalization Network for Person Re-Identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  • Yongxing Dai, Xiaotong Li, Jun Liu, Zekun Tong, Lingyu Duan, Generalizable Person Re-identification with Relevance-aware Mixture of Experts, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  • Yan Bai, Jun Liu, Yihang Lou, Ce Wang, Ling-Yu Duan, Disentangled Feature Learning Network and a Comprehensive Benchmark for Vehicle Re-Identification, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (IF=16.4)
  • Jun Wan, Zhihui Lai, Jun Liu, Jie Zhou, Can Gao, Robust Face Alignment by Multi-order High-precision Hourglass Networks, IEEE Transactions on Image Processing (TIP), 2021. (IF=10.9)
  • Yan Bai, Ce Wang, Yihang Lou, Jun Liu, Lingyu Duan, Hierarchical Connectivity-Centered Clustering for Unsupervised Domain Adaptation Person Re-Identification, IEEE Transactions on Image Processing (TIP), 2021. (IF=10.9)
  • Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu, Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation, IEEE Transactions on Image Processing (TIP), 2021. (IF=10.9)
  • Tianjiao Li, Wei Zhang, Ran Song, Zhiheng Li, Jun Liu, Xiaolei Li, and Shijian Lu, PoT-GAN: Pose Transform GAN for Person Image Synthesis, IEEE Transactions on Image Processing (TIP), 2021. (IF=10.9)
  • Yongxing Dai, Jun Liu, Yan Bai, Zekun Tong, Lingyu Duan, Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification, IEEE Transactions on Image Processing (TIP), 2021. (IF=10.9)
  • Shengjing Tian, Bin Liu, Hongchen Tan, Jun Liu, Meng Liu, Xiuping Liu, Deep Supervised Descent Method with Multiple Seeds Generation for 3D Tracking in Point Cloud, IEEE Transactions on Industrial Informatics (TII), 2021. (IF=10.2)
  • Mauricio Perez, Jun Liu, Alex C. Kot, Interaction Relational Network for Mutual Action Recognition, IEEE Transactions on Multimedia (TMM), 2021.
  • Lijuan Sun, Songhe Feng, Jun Liu, Gengyu Lyu, Congyan Lang, Global-Local Label Correlation for Partial Multi-Label Learning, IEEE Transactions on Multimedia (TMM), 2021.
  • Xiaohong Wang, Xudong Jiang, Henghui Ding, Yuqian Zhao, Jun Liu, Knowledge-aware Deep Framework for Collaborative Skin Lesion Segmentation and Melanoma Recognition, Pattern Recognition (PR), 2021.
  • Mauricio Perez, Jun Liu, Alex C. Kot, Skeleton-based Relational Reasoning for Group Activity Analysis, Pattern Recognition (PR), 2021.
  • Tianjiao Li, Jun Liu, Wei Zhang, Lingyu Duan, HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction, European Conference on Computer Vision (ECCV), 2020.
  • Zhipeng Fan, Jun Liu, Yao Wang, Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation, European Conference on Computer Vision (ECCV), 2020. (Spotlight Paper)
  • Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot, Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis, European Conference on Computer Vision (ECCV), 2020. (Spotlight Paper)
  • Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, et al., Learning Progressive Joint Propagation for Human Motion Prediction, European Conference on Computer Vision (ECCV), 2020.
  • Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Lingyu Duan, Disentangled Feature Learning Network for Vehicle Re-Identification, International Joint Conference on Artificial Intelligence (IJCAI), 2020.
  • Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot, Feature Boosting Network for 3D Pose Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (IF=16.4)
  • Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot, Skeleton-Based Online Action Prediction Using Scale Selection Network, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (IF=16.4, PREMIA Best Student Paper Silver Award)
  • Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, Alex C. Kot, NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (IF=16.4)
  • Xiaohong Wang, Xudong Jiang, Henghui Ding, Jun Liu, Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation, IEEE Transactions on Image Processing (TIP), 2020. (IF=10.9)
  • Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Ling-Yu Duan, VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  • Yujun Cai, Liuhao Ge, Jun Liu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan, and Nadia Magnenat Thalmann, Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks, IEEE International Conference on Computer Vision (ICCV), 2019.
  • Yihang Lou, Yan Bai, Jun Liu, Shiqi Wang, Ling-Yu Duan, Embedding Adversarial Learning for Vehicle Re-Identification, IEEE Transactions on Image Processing (TIP), 2019. (IF=10.9)
  • Ye Liu, Xiao-Yuan Jing, Jianhui Nie, Hao Gao, Jun Liu, Guo-Ping Jiang, Context-aware three-dimensional mean-shift with occlusion handling for robust object tracking in RGB-D videos, IEEE Transactions on Multimedia (TMM), 2019.
  • Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot, SSNet: Scale selection network for online 3D action prediction, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (Spotlight Paper)
  • Jun Liu, Amir Shahroudy, Dong Xu, Alex C. Kot, Gang Wang, Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018. (IF=16.4)
  • Jun Liu, Gang Wang, Ling-Yu Duan, Kamila Abdiyeva, Alex C. Kot, Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks, IEEE Transactions on Image Processing (TIP), 2018. (IF=10.9)
  • Luchao Tian, Mingchen Li, Yu Hao, Jun Liu, Guyue Zhang, Yan Qiu Chen, Robust 3-D human detection in complex environments with a depth camera, IEEE Transactions on Multimedia (TMM), 2018.
  • Jun Liu, Gang Wang, Ping Hu, Ling-Yu Duan, Alex C. Kot, Global context-aware attention LSTM networks for 3D action recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  • Ping Hu, Bing Shuai, Jun Liu, Gang Wang, Deep level sets for salient object detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  • Jun Liu, Amir Shahroudy, Dong Xu, Gang Wang, Spatio-temporal LSTM with trust gates for 3D human action recognition, European Conference on Computer Vision (ECCV), 2016. (PREMIA Best Student Paper Silver Award)
  • Amir Shahroudy, Jun Liu, Tian-Tsong Ng, Gang Wang, NTU RGB+D: A large scale dataset for 3D human activity analysis, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Activities

  • Area Chair: ICLR 2022, WACV 2022
  • Associate Editor: Elsevier Neurocomputing, Springer Signal, Image and Video Processing, IET Computer Vision, IET Image Processing, SPIE Journal of Electronic Imaging
  • Guest Editor: Springer The Visual Computer Journal
  • TPC Member/Reviewer: TPAMI, IJCV, CVPR, ICCV, ECCV, NIPS, ICLR, AAAI, etc.

Datasets and Resources

SUTD TrafficQA (traffic/video question answering)     UAV-Human (drone/action recognition/pose estimation/human ReID)

Research Interests

Computer Vision, Machine Learning, and Artificial Intelligence

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