Anomaly detection in crowds using a space MRF with incremental updates. - Nannan Li 001; Dan Xu 006; Xinyu Wu 001; Guoyuan Liang (ICDIP, 2013)

Hierarchical activity discovery within spatio-temporal context for video anomaly detection. - Dan Xu 006; Xinyu Wu 001; Dezhen Song; Nannan Li 001; Yen-Lun Chen (ICIP, 2013)

A novel statistical learning-based framework for automatic anomaly detection and localization in crowds. - Zhigang Guo; Nannan Li 001; Dan Xu 006; Yen-Lun Chen; Xinyu Wu 001; Zhiyong Gao (ROBIO, 2013)

Anomaly detection and localization in crowded scenes using short-term trajectories. - Huiwen Guo; Xinyu Wu 001; Nannan Li 001; Ruiqing Fu; Guoyuan Liang; Wei Feng 009 (ROBIO, 2013)

A new approach for hand-waving detection in crowds. - Nannan Li 001; Xinyu Wu 001; Dan Xu 006; Ruiqing Fu; Wei Feng 009 (ROBIO, 2013)

Multi-scale analysis of contextual information within spatio-temporal video volumes for anomaly detection. - Nannan Li 001; Huiwen Guo; Dan Xu 006; Xinyu Wu 001 (ICIP, 2014)

Abnormal event detection in crowd scenes using quaternion discrete cosine transformation signature. - Huiwen Guo; Xinyu Wu 001; Nannan Li 001; Huan Wang; Yen-Lun Chen (SPAC, 2014)

Video anomaly detection based on a hierarchical activity discovery within spatio-temporal contexts. - Dan Xu 006; Rui Song 002; Xinyu Wu 001; Nannan Li 001; Wei Feng 009; Huihuan Qian (Neurocomputing, 2014)

Spatio-temporal context analysis within video volumes for anomalous-event detection and localization. - Nannan Li 001; Xinyu Wu 001; Dan Xu 006; Huiwen Guo; Wei Feng 009 (Neurocomputing, 2015)

Anomaly Detection in Video Surveillance via Gaussian Process. - Nannan Li 001; Xinyu Wu 001; Huiwen Guo; Dan Xu 006; Yongsheng Ou; Yen-Lun Chen (Int. J. Pattern Recognit. Artif. Intell., 2015)

Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking. - Nannan Li 001; Dan Xu 006; Zhenqiang Ying; Zhihao Li 002; Ge Li 002 (ACCV (2), 2016)

An Object-Aware Anomaly Detection and Localization in Surveillance Videos. - Xianghao Zang; Ge Li 002; Zhihao Li 002; Nannan Li 001; Wenmin Wang 001 (BigMM, 2016)

Tube ConvNets: Better exploiting motion for action recognition. - Zhihao Li 002; Wenmin Wang 001; Nannan Li 001; Jinzhuo Wang (ICIP, 2016)

Quaternion discrete cosine transformation signature analysis in crowd scenes for abnormal event detection. - Huiwen Guo; Xinyu Wu 001; Shibo Cai; Nannan Li 001; Jun Cheng 002; Yen-Lun Chen (Neurocomputing, 2016)

A Violence Detection Approach Based on Spatio-temporal Hypergraph Transition. - Jingjia Huang; Ge Li 002; Nannan Li 001; Ronggang Wang; Wenmin Wang 001 (CAIP (2), 2017)

Fast action localization based on spatio-temporal path search. - Qingtian Wu; Huiwen Guo; Xinyu Wu 001; Yimin Zhou 001; Nannan Li 001 (ICIP, 2017)

Deep Metric Learning with False Positive Probability - Trade Off Hard Levels in a Weighted Way. - Jia-Xing Zhong; Ge Li 002; Nannan Li 001 (ICONIP (3), 2017)

A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning. - Jingjia Huang; Nannan Li 001; Tao Zhang 069; Ge Li 002 (CoRR, 2017)

SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning. - Jingjia Huang; Nannan Li 001; Tao Zhang 069; Ge Li 002; Tiejun Huang 001; Wen Gao 001 (AAAI, 2018)

An Active Action Proposal Method Based on Reinforcement Learning. - Tao Zhang 069; Nannan Li 001; Jingjia Huang; Jia-Xing Zhong; Ge Li 002 (ICIP, 2018)

Online Action Tube Detection via Resolving the Spatio-temporal Context Pattern. - Jingjia Huang; Nannan Li 001; Jia-Xing Zhong; Thomas H. Li; Ge Li 002 (ACM Multimedia, 2018)

Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. - Jia-Xing Zhong; Nannan Li 001; Weijie Kong; Tao Zhang 069; Thomas H. Li; Ge Li 002 (ACM Multimedia, 2018)

Deep Pedestrian Detection Using Contextual Information and Multi-level Features. - Weijie Kong; Nannan Li 001; Thomas H. Li; Ge Li 002 (MMM (1), 2018)

Action Extraction in Continuous Unconstrained Video for Cloud-Based Intelligent Service Robot. - Huiwen Guo; Xinyu Wu 001; Nannan Li 001 (IEEE Access, 2018)

Active Temporal Action Detection in Untrimmed Videos Via Deep Reinforcement Learning. - Nannan Li 001; Huiwen Guo; Yang Zhao 002; Thomas H. Li; Ge Li 002 (IEEE Access, 2018)

Detecting action tubes via spatial action estimation and temporal path inference. - Nannan Li 001; Jingjia Huang; Thomas H. Li; Huiwen Guo; Ge Li 002 (Neurocomputing, 2018)

Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. - Jia-Xing Zhong; Nannan Li 001; Weijie Kong; Shan Liu 001; Thomas H. Li; Ge Li 002 (CVPR, 2019)

BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization. - Weijie Kong; Nannan Li 001; Shan Liu 001; Thomas H. Li; Ge Li 002 (ICASSP, 2019)

AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism. - Jingjia Huang; Zhangheng Li; Nannan Li 001; Shan Liu 001; Ge Li 002 (ICCV, 2019)

Spatial-Temporal Context-Aware Online Action Detection and Prediction. - Jingjia Huang; Nannan Li 001; Thomas H. Li; Shan Liu 001; Ge Li 002 (IEEE Trans. Circuits Syst. Video Technol., 2020)

A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks. - Yu Pan 005; Zeyong Su; Ao Liu 008; Jingquan Wang; Nannan Li 001; Zenglin Xu (ICML, 2022)

Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning. - Nannan Li 001; Jia-Xing Zhong; Xiujun Shu; Huiwen Guo (Neurocomputing, 2022)

Maximizing mutual information inside intra- and inter-modality for audio-visual event retrieval. - Ruochen Li 001; Nannan Li 001; Wenmin Wang 001 (Int. J. Multim. Inf. Retr., 2023)

Motion Context guided Edge-preserving network for video salient object detection. - Kan Huang; Chunwei Tian; Zhijing Xu; Nannan Li 001; Jerry Chun-Wei Lin (Expert Syst. Appl., 2023)

Convolution Self-Guided Transformer for Diagnosis and Recognition of Crop Disease in Different Environments. - Huinian Li; Nannan Li 001; Wenmin Wang 001; Chengcheng Yang; Ningxia Chen; Fuqin Deng (IEEE Access, 2024)

Multimodal parallel attention network for medical image segmentation. - Zhibing Wang; Wenmin Wang 001; Nannan Li 001; Shenyong Zhang; Qi Chen; Zhe Jiang (Image Vis. Comput., 2024)

Exploiting Memory-Based Cross-Image Contexts for Salient Object Detection in Optical Remote Sensing Images. - Kan Huang; Nannan Li 001; Jiarong Huang; Chunwei Tian (IEEE Trans. Geosci. Remote. Sens., 2024)

Integrating pseudo labeling with contrastive clustering for transformer-based semi-supervised action recognition. - Nannan Li 001; Kan Huang; Qingtian Wu; Yang Zhao 002 (Appl. Intell., 2024)

Driver Drowsiness Detection Based on Joint Human Face and Facial Landmark Localization With Cheap Operations. - Qingtian Wu; Nannan Li 001; Liming Zhang 002; Fei Richard Yu (IEEE Trans. Intell. Transp. Syst., 2024)

Causality thinking for large-scale long-tailed video action recognition. - Zhengjin Zhang; Nannan Li 001; Wenmin Wang 001; Huiwen Guo; Wei Jin; Sudan Huang (Eng. Appl. Artif. Intell., 2025)

Multimodal Sensitive Adaptive Transformer for 3D medical image segmentation. - Zhibing Wang; Wenmin Wang 001; Nannan Li 001; Qi Chen; Yifan Zhang; Meng Xiao; Haomei Jia; Shenyong Zhang (Image Vis. Comput., 2025)

Real-Time Face and Facial Landmark Joint Detection Based on End-to-End Deep Network. - Qingtian Wu; Xiaoming Wang 013; Nannan Li 001; Simon Fong 001; Liming Zhang 002; Jinfeng Yang (IEEE Trans. Instrum. Meas., 2025)

CSRP: Modeling class spatial relation with prototype network for novel class discovery. - Wei Jin; Nannan Li 001; Jiuqing Dong; Huiwen Guo; Wenmin Wang 001; Chuanchuan You (Appl. Intell., 2025)

Causalseg: investigating causality modeling for semi-supervised video object segmentation. - Zhengjin Zhang; Nannan Li 001; Wenmin Wang 001; Huiwen Guo (Multim. Syst., 2025)

Local Texture Pattern Estimation for Image Detail Super-Resolution. - Fan Fan; Yang Zhao 002; Yuan Chen 012; Nannan Li 001; Wei Jia 001; Ronggang Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)