Publications
- Liangyu Chai, Yongtuo Liu, Wenxi Liu, Guoqiang Han, Shengfeng He: CrowdGAN: Identity-free Interactive Crowd Video Generation and Beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
- Yongtuo Liu, Qiang Wen, Haoxin Chen, Wenxi Liu, Jing Qin, Guoqiang Han, Shengfeng He: Crowd Counting via Cross-stage Refinement Networks. IEEE Transactions on Image Processing (TIP), 2020.
- Tingxiang Fan, Pinxin Long, Wenxi Liu, Jia Pan: Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Navigation in Complex Scenarios. International Journal on Robotics Research (IJRR), 2020.
- Wenxi Liu, Yibing Song, Dengsheng Chen, Shengfeng He, Yuanlong Yu, Tao Yan, Rynson W. H. Lau: Deformable Object Tracking with Gated Fusion. IEEE Trans. Image Processing (TIP), 2019 [arxiv][code]
- Wenxi Liu, Chun-Yang Zhang, Genggeng Liu, Yaru Su, Naixue Xiong: Extraversion Measure for Crowd Trajectories. IEEE Trans. on Industrial Informatics (TII), Special Section on Emerging Trends Issues and Challenges in Edge Artificial Intelligence, 2019
- Tingxiang Fan, Xinjing Cheng, Jia Pan, Pinxin Long, Wenxi Liu, Ruigang Yang, Dinesh Manocha: Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds. IEEE Robotics and Automation Letters (RAL) 4(2): 1178-1185, 2019
- Pinxin Long, Tingxiang Fan, Xinyi Liao, Wenxi Liu, Hao Zhang, Jia Pan: Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning. ICRA 2018
- Pinxin Long, Wenxi Liu*, Jia Pan*: Deep-Learned Collision Avoidance Policy for Distributed Multiagent Navigation. IEEE Robotics and Automation Letters (RAL) 2(2): 656-663, 2017
- Wenxi Liu, Rynson W. H. Lau, Xiaogang Wang, Dinesh Manocha: Exemplar-AMMs: Recognizing Crowd Movements From Pedestrian Trajectories. IEEE Trans. Multimedia (TMM) 18(12): 2398-240, 2016 [PDF]
- Wenxi Liu, Rynson W. H. Lau, Dinesh Manocha: Robust individual and holistic features for crowd scene classification. Pattern Recognition (PR) 58: 110-120, 2016
- Sujeong Kim, Stephen J. Guy, Wenxi Liu, David Wilkie, Rynson W. H. Lau, Ming C. Lin, Dinesh Manocha: BRVO: Predicting pedestrian trajectories using velocity-space reasoning. International Journal on Robotics Research (IJRR) 34(2): 201-217, 2015
- Wenxi Liu, Antoni B. Chan, Rynson W. H. Lau, Dinesh Manocha: Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking. IEEE Trans. Circuits Syst. Video Techn. (TCSVT) 25(3): 399-410, 2015 [PDF]
- Wenxi Liu, Zhe Huang, Rynson W. H. Lau, Dinesh Manocha: Data-driven sequential goal selection model for multi-agent simulation. ACM Symposium on Virtual Reality Software and Technology (VRST). 2014
- Stephen J. Guy, Jur van den Berg, Wenxi Liu, Rynson W. H. Lau, Ming C. Lin, Dinesh Manocha: A statistical similarity measure for aggregate crowd dynamics. ACM Trans. Graph. (TOG) 31(6): 190:1-190:11, 2012
- Wenxi Liu, Rynson W. H. Lau, Dinesh Manocha: Crowd simulation using Discrete Choice Model. IEEE Virtual Reality (VR) 2012
- Yuzhen Niu, Guanchao Long, Wenxi Liu*, Wenzhong Guo, Shengfeng He: Boundary-aware RGBD Salient Object Detection with Cross-modal Feature Sampling, IEEE Trans. Image Processing (TIP), 2020.
- Bo Wang, Yiliang Chen, Wenxi Liu, Jing Qin, Yong Du, Guoqiang Han, Shengfeng He: Real-Time Hierarchical Supervoxel Segmentation via a Minimum Spanning Tree, IEEE Trans. Image Processing (TIP), 2020.
- Bo Wang, Wenxi Liu, Guoqiang Han, Shengfeng He: Learning Long-term Structural Dependencies for Video Salient Object Detection, IEEE Trans. Image Processing (TIP), 2020.
- Lei Yang, Wenxi Liu, Zhiming Cui, Nenglun Chen, Wenping Wang: Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes, ECCV 2020.
- Yuzhen Niu, Qingyang Zheng, Wenxi Liu*, Wenzhong Guo: Recurrent Enhancement of Visual Comfort for Casual Stereoscopic Photography, IEEE Virtual Reality (VR) 2020 (Oral Presentation).
- Chun-Yang Zhang, Yongyi Xiao, Jin-Cheng Lin, C. L. Philip Chen, Wenxi Liu, Yuhong Tong: 3D Deconvolutional Networks for the Unsupervised Representation Learning of Human Motions, IEEE Transactions on Cybernetics 2020.
- Tao Yan, Jianbo Jiao, Wenxi Liu, Rynson WH Lau: Stereoscopic Image Generation from Light Field with Disparity Scaling and Super-Resolution IEEE Trans. Image Processing (TIP), 2020
- Tao Yan, Yiming Mao, Jianming Wang, Wenxi Liu, Xiaohua Qian, and Rynson Lau: Generating Stereoscopic Images with Convergence Control Ability from a Light Field Image Pair. IEEE Trans. Circuits Syst. Video Techn. (TCSVT) 2020
- Xiaosheng Yan, Feigege Wang, Wenxi Liu*, Yuanlong Yu, Shengfeng He, Jia Pan: Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery, ICCV 2019 [arxiv]
- Feigege Wang, Yue Gu, Wenxi Liu*, Yuanlong Yu, Shengfeng He, Jia Pan: Context-aware Spatio-recurrent Curvilinear Structure Segmentation. CVPR 2019 [PDF]
- Qiang Wen, Yinjie Tan, Jing Qin, Wenxi Liu, Guoqiang Han, Shengfeng He: Single Image Reflection Removal Beyond Linearity. CVPR 2019
- Chun-Yang, Zhang, Qi Zhao, C.L. Philip Chen, Wenxi Liu: Deep compression of probabilistic graphical networks Pattern Recognition (PR), 2019
- Dengsheng Chen, Wenxi Liu*, You Huang, Tong Tong, Yuanlong Yu: Enhancement Mask for Hippocampus Detection and Segmentation. IEEE International Conference on Information and Automation (ICIA), 2018 [arxiv]
- Shengfeng He, Rynson W. H. Lau, Wenxi Liu, Zhe Huang, Qingxiong Yang: SuperCNN: A Superpixelwise Convolutional Neural Network for Salient Object Detection. International Journal of Computer Vision (IJCV) 115(3): 330-344, 2015
- Hui Chen, Lan Wang, Wenxi Liu, Pheng-Ann Heng: Combined X-ray and facial videos for phoneme-level articulator dynamics. The Visual Computer 26(6-8): 477-486, 2010
