Adaptive Weight Collaborative Complementary Learning for Robust Visual Tracking. - Benxuan Wang; Jun Kong 001; Min Jiang 008; Jianyu Shen; Tianshan Liu; Xiaofeng Gu (KSII Trans. Internet Inf. Syst., 2019)

RGB-D action recognition based on discriminative common structure learning model. - Tianshan Liu; Jun Kong 001; Min Jiang 008; Hongtao Huo (J. Electronic Imaging, 2019)

Collaborative multimodal feature learning for RGB-D action recognition. - Jun Kong 001; Tianshan Liu; Min Jiang 008 (J. Vis. Commun. Image Represent., 2019)

Collaborative model with adaptive selection scheme for visual tracking. - Tianshan Liu; Jun Kong 001; Min Jiang 008; Chenhua Liu; Xiaofeng Gu; Xiaofeng Wang (Int. J. Mach. Learn. Cybern., 2019)

Flow-guided Spatial Attention Tracking for Egocentric Activity Recognition. - Tianshan Liu; Kin-Man Lam 001 (ICPR, 2020)

Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing. - Rui Zhao 012; Tianshan Liu; Jun Xiao 010; Daniel Pak-Kong Lun; Kin-Man Lam 001 (ICPR, 2020)

Multiple depth-levels features fusion enhanced network for action recognition. - Shengquan Wang; Jun Kong 001; Min Jiang 008; Tianshan Liu (J. Vis. Commun. Image Represent., 2020)

Progressive Motion Representation Distillation With Two-Branch Networks for Egocentric Activity Recognition. - Tianshan Liu; Rui Zhao 012; Jun Xiao 010; Kin-Man Lam 001 (IEEE Signal Process. Lett., 2020)

Structure-Enhanced Attentive Learning For Spine Segmentation From Ultrasound Volume Projection Images. - Rui Zhao 012; Zixun Huang; Tianshan Liu; Frank H. F. Leung; Sai Ho Ling; De Yang; Timothy Tin-Yan Lee; Daniel Pak-Kong Lun; Yong-Ping Zheng; Kin-Man Lam 001 (ICASSP, 2021)

Multimodal-Semantic Context-Aware Graph Neural Network for Group Activity Recognition. - Tianshan Liu; Rui Zhao 012; Kin-Man Lam 001 (ICME, 2021)

Balanced distortion and perception in single-image super-resolution based on optimal transport in wavelet domain. - Jun Xiao 010; Tianshan Liu; Rui Zhao 012; Kin-Man Lam 001 (Neurocomputing, 2021)

Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition. - Jun Kong 001; Leixin Zhang; Min Jiang 008; Tianshan Liu (J. Biomed. Informatics, 2021)

Multi-stream mixed graph convolutional networks for skeleton-based action recognition. - Boyuan Zhuang; Jun Kong 001; Min Jiang 008; Tianshan Liu (J. Electronic Imaging, 2021)

Diverse Features Fusion Network for video-based action recognition. - Haoyang Deng; Jun Kong 001; Min Jiang 008; Tianshan Liu (J. Vis. Commun. Image Represent., 2021)

Spatiotemporal attention enhanced features fusion network for action recognition. - Danfeng Zhuang; Min Jiang 008; Jun Kong 001; Tianshan Liu (Int. J. Mach. Learn. Cybern., 2021)

Dynamic Center Aggregation Loss With Mixed Modality for Visible-Infrared Person Re-Identification. - Jun Kong 001; Qibin He; Min Jiang 008; Tianshan Liu (IEEE Signal Process. Lett., 2021)

Invertible Image Decolorization. - Rui Zhao 012; Tianshan Liu; Jun Xiao 010; Daniel Pak-Kong Lun; Kin-Man Lam 001 (IEEE Trans. Image Process., 2021)

A Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One-shot Representation Forecasting. - Tianshan Liu; Kin-Man Lam 001 (CVPR, 2022)

Angle Tokenization Guided Multi-Scale Vision Transformer for Oriented Object Detection in Remote Sensing Imagery. - Cong Zhang; Tianshan Liu; Kin-Man Lam 001 (IGARSS, 2022)

Multi-scale Sampling and Aggregation Network For High Dynamic Range Imaging. - Jun Xiao 010; Qian Ye; Tianshan Liu; Cong Zhang; Kin-Man Lam 001 (CoRR, 2022)

Visual-semantic graph neural network with pose-position attentive learning for group activity recognition. - Tianshan Liu; Rui Zhao 012; Kin-Man Lam 001; Jun Kong 001 (Neurocomputing, 2022)

Dynamic trajectory quantification strategy for multiple object tracking with feature rearrangement. - Yuanshu Zhang; Qing Tian; Tianshan Liu; Jun Kong 001 (J. Electronic Imaging, 2022)

SPRTracker: Learning Spatial-Temporal Pixel Aggregations for Multiple Object Tracking. - Jialin Liu; Jun Kong 001; Min Jiang 008; Tianshan Liu (IEEE Signal Process. Lett., 2022)

MOTFR: Multiple Object Tracking Based on Feature Recoding. - Jun Kong 001; Ensen Mo; Min Jiang 008; Tianshan Liu (IEEE Trans. Circuits Syst. Video Technol., 2022)

Enhanced Attention Tracking With Multi-Branch Network for Egocentric Activity Recognition. - Tianshan Liu; Kin-Man Lam 001; Rui Zhao 012; Jun Kong 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Deep Cross-Modal Representation Learning and Distillation for Illumination-Invariant Pedestrian Detection. - Tianshan Liu; Kin-Man Lam 001; Rui Zhao 012; Guoping Qiu (IEEE Trans. Circuits Syst. Video Technol., 2022)

Unsupervised Domain Adaptation by Multi-Loss Gap Minimization Learning for Person Re-Identification. - Xuefeng Tao; Jun Kong 001; Min Jiang 008; Tianshan Liu (IEEE Trans. Circuits Syst. Video Technol., 2022)

Pyramid Masked Image Modeling for Transformer-Based Aerial Object Detection. - Cong Zhang; Tianshan Liu; Yakun Ju; Kin-Man Lam 001 (ICIP, 2023)

Motion information supplement for joint detection and embedding tracking. - Ensen Mo; Jun Kong 001; Min Jiang 008; Tianshan Liu (J. Electronic Imaging, 2023)

CALTracker: Cross-Task Association Learning for Multiple Object Tracking. - Jialin Liu; Jun Kong 001; Min Jiang 008; Tianshan Liu (IEEE Signal Process. Lett., 2023)

Geometry-Aware Facial Expression Recognition via Attentive Graph Convolutional Networks. - Rui Zhao 012; Tianshan Liu; Zixun Huang; Daniel Pak-Kong Lun; Kin-Man Lam 001 (IEEE Trans. Affect. Comput., 2023)

Spatial-Temporal Graphs Plus Transformers for Geometry-Guided Facial Expression Recognition. - Rui Zhao 012; Tianshan Liu; Zixun Huang; Daniel Pak-Kong Lun; Kin-Man Lam 001 (IEEE Trans. Affect. Comput., 2023)

Decouple and Resolve: Transformer-Based Models for Online Anomaly Detection From Weakly Labeled Videos. - Tianshan Liu; Cong Zhang; Kin-Man Lam 001; Jun Kong 001 (IEEE Trans. Inf. Forensics Secur., 2023)

Boosting Object Detectors via Strong-Classification Weak-Localization Pretraining in Remote Sensing Imagery. - Cong Zhang; Tianshan Liu; Jun Xiao 010; Kin-Man Lam 001; Qi Wang 009 (IEEE Trans. Instrum. Meas., 2023)

Weakly Supervised Distribution Discrepancy Minimization Learning With State Information for Person Re-Identification. - Jun Kong 001; Xuefeng Tao; Min Jiang 008; Tianshan Liu (IEEE Trans. Multim., 2023)

Heterogeneous dual network with feature consistency for domain adaptation person re-identification. - Hua Zhou; Jun Kong 001; Min Jiang 008; Tianshan Liu (Int. J. Mach. Learn. Cybern., 2023)

Multi-stream ternary enhanced graph convolutional network for skeleton-based action recognition. - Jun Kong 001; Shengquan Wang; Min Jiang 008; Tianshan Liu (Neural Comput. Appl., 2023)

Hierarchical Vertex-Wise Intensification Graph Convolution for Skeleton-Based Activity Recognition. - Yun Li; Hao Xie; Jun Xiao 010; Cong Zhang; Tianshan Liu; Kin-Man Lam 001 (ICIP, 2024)

Label Text-aided Hierarchical Semantics Mining for Panoramic Activity Recognition. - Tianshan Liu; Kin-Man Lam 001; Bing-Kun Bao (ACM Multimedia, 2024)

Deep progressive feature aggregation network for multi-frame high dynamic range imaging. - Jun Xiao 010; Qian Ye; Tianshan Liu; Cong Zhang; Kin-Man Lam 001 (Neurocomputing, 2024)

Toward effective local dimming-driven liquid crystal displays: a deep curve estimation-based adaptive compensation solution. - Tianshan Liu; Kin-Man Lam 001 (J. Electronic Imaging, 2024)

Patch-based tendency camera multi-constraint learning for unsupervised person re-identification. - Xuefeng Tao; Jun Kong 001; Min Jiang 008; Xi Luo; Tianshan Liu (J. Vis. Commun. Image Represent., 2024)

Structured Adversarial Self-Supervised Learning for Robust Object Detection in Remote Sensing Images. - Cong Zhang; Kin-Man Lam 001; Tianshan Liu; Yui-Lam Chan; Qi Wang 009 (IEEE Trans. Geosci. Remote. Sens., 2024)

Injecting Text Clues for Improving Anomalous Event Detection From Weakly Labeled Videos. - Tianshan Liu; Kin-Man Lam 001; Bing-Kun Bao (IEEE Trans. Image Process., 2024)

Category-Aware Saliency Enhance Learning Based on CLIP for Weakly Supervised Salient Object Detection. - Yunde Zhang; Zhili Zhang; Tianshan Liu; Jun Kong 001 (Neural Process. Lett., 2024)

Holistic-Guided Disentangled Learning With Cross-Video Semantics Mining for Concurrent First-Person and Third-Person Activity Recognition. - Tianshan Liu; Rui Zhao 012; Wenqi Jia 001; Kin-Man Lam 001; Jun Kong 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Part-pixel transformer with smooth alignment fusion for domain adaptation person re-identification. - Jun Kong 001; Hua Zhou; Min Jiang 008; Tianshan Liu (Signal Image Video Process., 2024)

Distilling Privileged Knowledge for Anomalous Event Detection From Weakly Labeled Videos. - Tianshan Liu; Kin-Man Lam 001; Jun Kong 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

MAD-DGTD: Multivariate time series Anomaly Detection based on Dynamic Graph structure learning with Time Delay. - Kang Wang; Jun Kong 001; Meicheng Zhang; Min Jiang 008; Tianshan Liu (Neurocomputing, 2025)

A Memory-Assisted Knowledge Transferring Framework with Curriculum Anticipation for Weakly Supervised Online Activity Detection. - Tianshan Liu; Kin-Man Lam 001; Bing-Kun Bao (Int. J. Comput. Vis., 2025)