GPU Accelerated 3D Image Deformation Using Thin-Plate Splines. - Weixin Luo; Xuan Yang; Xiaoxiao Nan; Bingfeng Hu (HPCC/CSS/ICESS, 2014)

Dictionary Pair Learning with Block-Diagonal Structure for Image Classification. - Meng Yang 001; Weixin Luo; Linlin Shen (IScIDE (1), 2015)

Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification. - Meng Yang 001; Weiyang Liu; Weixin Luo; Linlin Shen (AAAI, 2016)

A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework. - Weixin Luo; Wen Liu 003; Shenghua Gao (ICCV, 2017)

Remembering history with convolutional LSTM for anomaly detection. - Weixin Luo; Wen Liu 003; Shenghua Gao (ICME, 2017)

Discriminative analysis-synthesis dictionary learning for image classification. - Meng Yang 001; Heyou Chang; Weixin Luo (Neurocomputing, 2017)

Fisher discrimination dictionary pair learning for image classification. - Meng Yang 001; Heyou Chang; Weixin Luo; Jian Yang 003 (Neurocomputing, 2017)

Future Frame Prediction for Anomaly Detection - A New Baseline. - Wen Liu 003; Weixin Luo; Dongze Lian; Shenghua Gao (CVPR, 2018)

Face Aging With Identity-Preserved Conditional Generative Adversarial Networks. - Zongwei Wang 004; Xu Tang; Weixin Luo; Shenghua Gao (CVPR, 2018)

Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading. - Kang Zhou 001; Zaiwang Gu; Wen Liu 003; Weixin Luo; Jun Cheng 003; Shenghua Gao; Jiang Liu 001 (EMBC, 2018)

Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang. - Kang Zhou 001; Zaiwang Gu; Wen Liu 003; Weixin Luo; Jun Cheng 003; Shenghua Gao; Jiang Liu 001 (CoRR, 2018)

RGBD Based Gaze Estimation via Multi-Task CNN. - Dongze Lian; Ziheng Zhang; Weixin Luo; Lina Hu; Minye Wu; Zechao Li; Jingyi Yu; Shenghua Gao (AAAI, 2019)

Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization. - Dongze Lian; Jing Li 117; Jia Zheng 002; Weixin Luo; Shenghua Gao (CVPR, 2019)

PPGNet: Learning Point-Pair Graph for Line Segment Detection. - Ziheng Zhang; Zhengxin Li; Ning Bi; Jia Zheng 002; Jinlei Wang; Kun Huang 001; Weixin Luo; Yanyu Xu; Shenghua Gao (CVPR, 2019)

Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. - Wen Liu 003; Weixin Luo; Zhengxin Li; Peilin Zhao; Shenghua Gao (IJCAI, 2019)

Cascaded ConvLSTMs Using Semantically-Coherent Data Synthesis for Video Object Segmentation. - Jia Zheng 002; Weixin Luo; Zhixin Piao (IEEE Access, 2019)

Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks. - Dongze Lian; Lina Hu; Weixin Luo; Yanyu Xu; Lixin Duan; Jingyi Yu; Shenghua Gao (IEEE Trans. Neural Networks Learn. Syst., 2019)

Password-Conditioned Anonymization and Deanonymization with Face Identity Transformers. - Xiuye Gu; Weixin Luo; Michael S. Ryoo; Yong Jae Lee (ECCV (23), 2020)

Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. - Kang Zhou 001; Yuting Xiao; Jianlong Yang; Jun Cheng 003; Wen Liu 003; Weixin Luo; Zaiwang Gu; Jiang Liu 001; Shenghua Gao (ECCV (20), 2020)

SIRI: Spatial Relation Induced Network For Spatial Description Resolution. - Peiyao Wang; Weixin Luo; Yanyu Xu; Haojie Li; Shugong Xu; Jianyu Yang; Shenghua Gao (NeurIPS, 2020)

Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd counting. - Yanyan Fang; Shenghua Gao; Jing Li 117; Weixin Luo; Linfang He; Bo Hu 002 (Neurocomputing, 2020)

Graph Convolutional Neural Network for Skeleton-based Video Abnormal Behavior Detection. - Weixin Luo; Wen Liu 003; Shenghua Gao (Generalization with Deep Learning, 2021)

Amodal Segmentation Based on Visible Region Segmentation and Shape Prior. - Yuting Xiao; Yanyu Xu; Ziming Zhong; Weixin Luo; Jiawei Li; Shenghua Gao (AAAI, 2021)

Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding. - Binbin Huang; Dongze Lian; Weixin Luo; Shenghua Gao (CVPR, 2021)

Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild. - Zhaoyuan Yin; Jia Zheng 002; Weixin Luo; Shenhan Qian; Hanling Zhang; Shenghua Gao (CVPR, 2021)

Prior Based Human Completion. - Zibo Zhao; Wen Liu 003; Yanyu Xu; Xianing Chen; Weixin Luo; Lei Jin; Bohui Zhu; Tong Liu; Binqiang Zhao; Shenghua Gao (CVPR, 2021)

Two-stage Visual Cues Enhancement Network for Referring Image Segmentation. - Yang Jiao; Zequn Jie; Weixin Luo; Jingjing Chen 001; Yu-Gang Jiang 001; Xiaolin Wei; Lin Ma 002 (ACM Multimedia, 2021)

Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection. - Weixin Luo; Wen Liu 003; Shenghua Gao (Neurocomputing, 2021)

Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks. - Weixin Luo; Wen Liu 003; Dongze Lian; Jinhui Tang 001; Lixin Duan; Xi Peng 001; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Explore Inter-contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding. - Jiaming Chen; Weixin Luo; Wei Zhang 021; Lin Ma 002 (AAAI, 2022)

SVIP: Sequence VerIfication for Procedures in Videos. - Yicheng Qian; Weixin Luo; Dongze Lian; Xu Tang; Peilin Zhao; Shenghua Gao (CVPR, 2022)

A Circular Window-based Cascade Transformer for Online Action Detection. - Shuqiang Cao; Weixin Luo; Bairui Wang; Wei Zhang 021; Lin Ma 002 (CoRR, 2022)

HAM: Hierarchical Attention Model with High Performance for 3D Visual Grounding. - Jiaming Chen; Weixin Luo; Xiaolin Wei; Lin Ma 002; Wei Zhang 021 (CoRR, 2022)

Multiple Object Tracking Challenge Technical Report for Team MT_IoT. - Feng Yan; Zhiheng Li 001; Weixin Luo; Zequn Jie; Fan Liang; Xiaolin Wei; Lin Ma 002 (CoRR, 2022)

Locating and Counting Heads in Crowds With a Depth Prior. - Dongze Lian; Xianing Chen; Jing Li 117; Weixin Luo; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Future Frame Prediction Network for Video Anomaly Detection. - Weixin Luo; Wen Liu 003; Dongze Lian; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Proxy-Bridged Image Reconstruction Network for Anomaly Detection in Medical Images. - Kang Zhou 001; Jing Li 117; Weixin Luo; Zhengxin Li; Jianlong Yang; Huazhu Fu; Jun Cheng 003; Jiang Liu 001; Shenghua Gao (IEEE Trans. Medical Imaging, 2022)

Memorizing Structure-Texture Correspondence for Image Anomaly Detection. - Kang Zhou 001; Jing Li 117; Yuting Xiao; Jianlong Yang; Jun Cheng 003; Wen Liu 003; Weixin Luo; Jiang Liu 001; Shenghua Gao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos. - Sixun Dong; Huazhang Hu; Dongze Lian; Weixin Luo; Yicheng Qian; Shenghua Gao (CVPR, 2023)

E2E-LOAD: End-to-End Long-form Online Action Detection. - Shuqiang Cao; Weixin Luo; Bairui Wang; Wei Zhang 021; Lin Ma 002 (ICCV, 2023)

Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking. - Feng Yan; Weixin Luo; Yujie Zhong; Yiyang Gan; Lin Ma 002 (CoRR, 2023)

MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning. - Chenyu Wang; Weixin Luo; Qianyu Chen; Haonan Mai; Jindi Guo; Sixun Dong; Xiaohua Xuan; Zhengxin Li; Lin Ma 002; Shenghua Gao (CoRR, 2024)

CO-MOT: Boosting End-to-end Transformer-based Multi-Object Tracking via Coopetition Label Assignment and Shadow Sets. - Feng Yan; Weixin Luo; Yujie Zhong; Yiyang Gan; Lin Ma 002 (ICLR, 2025)

MLLM-Tool: A Multimodal Large Language Model for Tool Agent Learning. - Chenyu Wang; Weixin Luo; Sixun Dong; Xiaohua Xuan; Zhengxin Li; Lin Ma 002; Shenghua Gao (WACV, 2025)

Enhanced YOLOv8 for small-object detection in multiscale UAV imagery: Innovations in detection accuracy and efficiency. - Weixin Luo; Sannan Yuan (Digit. Signal Process., 2025)