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Nannan Li 0001
Person information
- affiliation: Macau University of Science and Technology, Macau
- affiliation (2015 - 2018): Peking University, Shenzhen Graduate School, School of Electronic and Computer Engineering, China
- affiliation (PhD 2015): Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
Other persons with the same name
- Nannan Li (aka: Nan-nan Li, Nan-Nan Li) — disambiguation page
- Nannan Li 0002 — Dalian University of Technology, School of Mathematical Sciences, China
- Nannan Li 0003 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Nannan Li 0004 — Boston University, MA, USA (and 1 more)
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2020 – today
- 2024
- [j14]Nannan Li, Kan Huang, Qingtian Wu, Yang Zhao:
Integrating pseudo labeling with contrastive clustering for transformer-based semi-supervised action recognition. Appl. Intell. 54(22): 11177-11195 (2024) - [j13]Zhibing Wang, Wenmin Wang, Nannan Li, Shenyong Zhang, Qi Chen, Zhe Jiang:
Multimodal parallel attention network for medical image segmentation. Image Vis. Comput. 147: 105069 (2024) - [j12]Kan Huang, Nannan Li, Jiarong Huang, Chunwei Tian:
Exploiting Memory-Based Cross-Image Contexts for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - 2023
- [j11]Kan Huang, Chunwei Tian, Zhijing Xu, Nannan Li, Jerry Chun-Wei Lin:
Motion Context guided Edge-preserving network for video salient object detection. Expert Syst. Appl. 233: 120739 (2023) - [j10]Ruochen Li, Nannan Li, Wenmin Wang:
Maximizing mutual information inside intra- and inter-modality for audio-visual event retrieval. Int. J. Multim. Inf. Retr. 12(1): 10 (2023) - 2022
- [j9]Nannan Li, Jia-Xing Zhong, Xiujun Shu, Huiwen Guo:
Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning. Neurocomputing 481: 154-167 (2022) - [c22]Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu:
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks. ICML 2022: 17238-17257 - [i6]Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu:
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks. CoRR abs/2205.15307 (2022) - 2020
- [j8]Jingjia Huang, Nannan Li, Thomas H. Li, Shan Liu, Ge Li:
Spatial-Temporal Context-Aware Online Action Detection and Prediction. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2650-2662 (2020)
2010 – 2019
- 2019
- [c21]Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li:
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. CVPR 2019: 1237-1246 - [c20]Weijie Kong, Nannan Li, Shan Liu, Thomas H. Li, Ge Li:
BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization. ICASSP 2019: 1647-1651 - [c19]Jingjia Huang, Zhangheng Li, Nannan Li, Shan Liu, Ge Li:
AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism. ICCV 2019: 6479-6488 - [i5]Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li:
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection. CoRR abs/1903.07256 (2019) - 2018
- [j7]Huiwen Guo, Xinyu Wu, Nannan Li:
Action Extraction in Continuous Unconstrained Video for Cloud-Based Intelligent Service Robot. IEEE Access 6: 33460-33471 (2018) - [j6]Nannan Li, Huiwen Guo, Yang Zhao, Thomas H. Li, Ge Li:
Active Temporal Action Detection in Untrimmed Videos Via Deep Reinforcement Learning. IEEE Access 6: 59126-59140 (2018) - [j5]Nannan Li, Jingjia Huang, Thomas H. Li, Huiwen Guo, Ge Li:
Detecting action tubes via spatial action estimation and temporal path inference. Neurocomputing 311: 65-77 (2018) - [c18]Jingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, Wen Gao:
SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning. AAAI 2018: 6951-6958 - [c17]Tao Zhang, Nannan Li, Jingjia Huang, Jia-Xing Zhong, Ge Li:
An Active Action Proposal Method Based on Reinforcement Learning. ICIP 2018: 4053-4057 - [c16]Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li:
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. ACM Multimedia 2018: 35-44 - [c15]Jingjia Huang, Nannan Li, Jia-Xing Zhong, Thomas H. Li, Ge Li:
Online Action Tube Detection via Resolving the Spatio-temporal Context Pattern. ACM Multimedia 2018: 993-1001 - [c14]Weijie Kong, Nannan Li, Thomas H. Li, Ge Li:
Deep Pedestrian Detection Using Contextual Information and Multi-level Features. MMM (1) 2018: 166-177 - [i4]Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li:
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. CoRR abs/1807.02929 (2018) - [i3]Weijie Kong, Nannan Li, Shan Liu, Thomas H. Li, Ge Li:
BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization. CoRR abs/1811.02189 (2018) - 2017
- [c13]Jingjia Huang, Ge Li, Nannan Li, Ronggang Wang, Wenmin Wang:
A Violence Detection Approach Based on Spatio-temporal Hypergraph Transition. CAIP (2) 2017: 218-229 - [c12]Qingtian Wu, Huiwen Guo, Xinyu Wu, Yimin Zhou, Nannan Li:
Fast action localization based on spatio-temporal path search. ICIP 2017: 3350-3354 - [c11]Jia-Xing Zhong, Ge Li, Nannan Li:
Deep Metric Learning with False Positive Probability - Trade Off Hard Levels in a Weighted Way. ICONIP (3) 2017: 653-664 - [i2]Jingjia Huang, Nannan Li, Tao Zhang, Ge Li:
A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning. CoRR abs/1706.07251 (2017) - 2016
- [j4]Huiwen Guo, Xinyu Wu, Shibo Cai, Nannan Li, Jun Cheng, Yen-Lun Chen:
Quaternion discrete cosine transformation signature analysis in crowd scenes for abnormal event detection. Neurocomputing 204: 106-115 (2016) - [c10]Nannan Li, Dan Xu, Zhenqiang Ying, Zhihao Li, Ge Li:
Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking. ACCV (2) 2016: 384-399 - [c9]Xianghao Zang, Ge Li, Zhihao Li, Nannan Li, Wenmin Wang:
An Object-Aware Anomaly Detection and Localization in Surveillance Videos. BigMM 2016: 113-116 - [c8]Zhihao Li, Wenmin Wang, Nannan Li, Jinzhuo Wang:
Tube ConvNets: Better exploiting motion for action recognition. ICIP 2016: 3056-3060 - [i1]Nannan Li, Dan Xu, Zhenqiang Ying, Zhihao Li, Ge Li:
Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking. CoRR abs/1608.06495 (2016) - 2015
- [j3]Nannan Li, Xinyu Wu, Dan Xu, Huiwen Guo, Wei Feng:
Spatio-temporal context analysis within video volumes for anomalous-event detection and localization. Neurocomputing 155: 309-319 (2015) - [j2]Nannan Li, Xinyu Wu, Huiwen Guo, Dan Xu, Yongsheng Ou, Yen-Lun Chen:
Anomaly Detection in Video Surveillance via Gaussian Process. Int. J. Pattern Recognit. Artif. Intell. 29(6): 1555011:1-1555011:25 (2015) - 2014
- [j1]Dan Xu, Rui Song, Xinyu Wu, Nannan Li, Wei Feng, Huihuan Qian:
Video anomaly detection based on a hierarchical activity discovery within spatio-temporal contexts. Neurocomputing 143: 144-152 (2014) - [c7]Nannan Li, Huiwen Guo, Dan Xu, Xinyu Wu:
Multi-scale analysis of contextual information within spatio-temporal video volumes for anomaly detection. ICIP 2014: 2363-2367 - [c6]Huiwen Guo, Xinyu Wu, Nannan Li, Huan Wang, Yen-Lun Chen:
Abnormal event detection in crowd scenes using quaternion discrete cosine transformation signature. SPAC 2014: 42-47 - 2013
- [c5]Nannan Li, Dan Xu, Xinyu Wu, Guoyuan Liang:
Anomaly detection in crowds using a space MRF with incremental updates. ICDIP 2013: 88782J - [c4]Dan Xu, Xinyu Wu, Dezhen Song, Nannan Li, Yen-Lun Chen:
Hierarchical activity discovery within spatio-temporal context for video anomaly detection. ICIP 2013: 3597-3601 - [c3]Huiwen Guo, Xinyu Wu, Nannan Li, Ruiqing Fu, Guoyuan Liang, Wei Feng:
Anomaly detection and localization in crowded scenes using short-term trajectories. ROBIO 2013: 245-249 - [c2]Zhigang Guo, Nannan Li, Dan Xu, Yen-Lun Chen, Xinyu Wu, Zhiyong Gao:
A novel statistical learning-based framework for automatic anomaly detection and localization in crowds. ROBIO 2013: 1211-1215 - [c1]Nannan Li, Xinyu Wu, Dan Xu, Ruiqing Fu, Wei Feng:
A new approach for hand-waving detection in crowds. ROBIO 2013: 2489-2493
Coauthor Index
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