Nannan Li
Orcid: 0000-0002-8274-5123Affiliations:
- Macau University of Science and Technology, Macau
- Peking University, Shenzhen Graduate School, School of Electronic and Computer Engineering, China (2015 - 2018)
- Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China (PhD 2015)
According to our database1,
Nannan Li
authored at least 49 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
IEEE Trans. Pattern Anal. Mach. Intell., June, 2025
Causalseg: investigating causality modeling for semi-supervised video object segmentation.
Multim. Syst., June, 2025
CSRP: Modeling class spatial relation with prototype network for novel class discovery.
Appl. Intell., January, 2025
IEEE Trans. Instrum. Meas., 2025
Frequency-Domain Convolutional Network With Historical Data Fusion Module for Regional Streamflow Prediction.
IEEE Trans. Geosci. Remote. Sens., 2025
Image Vis. Comput., 2025
Eng. Appl. Artif. Intell., 2025
2024
Driver Drowsiness Detection Based on Joint Human Face and Facial Landmark Localization With Cheap Operations.
IEEE Trans. Intell. Transp. Syst., December, 2024
Integrating pseudo labeling with contrastive clustering for transformer-based semi-supervised action recognition.
Appl. Intell., November, 2024
Exploiting Memory-Based Cross-Image Contexts for Salient Object Detection in Optical Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024
Image Vis. Comput., 2024
Convolution Self-Guided Transformer for Diagnosis and Recognition of Crop Disease in Different Environments.
IEEE Access, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
CCLNet: Causal and Contrastive Learning Framework for Enhanced Pulmonary Embolism Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Expert Syst. Appl., December, 2023
Maximizing mutual information inside intra- and inter-modality for audio-visual event retrieval.
Int. J. Multim. Inf. Retr., June, 2023
2022
Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning.
Neurocomputing, 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022
2020
IEEE Trans. Circuits Syst. Video Technol., 2020
2019
AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization.
Proceedings of the IEEE International Conference on Acoustics, 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Neurocomputing, 2018
Active Temporal Action Detection in Untrimmed Videos Via Deep Reinforcement Learning.
IEEE Access, 2018
Action Extraction in Continuous Unconstrained Video for Cloud-Based Intelligent Service Robot.
IEEE Access, 2018
Proceedings of the MultiMedia Modeling - 24th International Conference, 2018
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning.
CoRR, 2017
Deep Metric Learning with False Positive Probability - Trade Off Hard Levels in a Weighted Way.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the Computer Analysis of Images and Patterns, 2017
2016
Quaternion discrete cosine transformation signature analysis in crowd scenes for abnormal event detection.
Neurocomputing, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the IEEE Second International Conference on Multimedia Big Data, 2016
Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking.
Proceedings of the Computer Vision - ACCV 2016, 2016
2015
Int. J. Pattern Recognit. Artif. Intell., 2015
Spatio-temporal context analysis within video volumes for anomalous-event detection and localization.
Neurocomputing, 2015
2014
Video anomaly detection based on a hierarchical activity discovery within spatio-temporal contexts.
Neurocomputing, 2014
Abnormal event detection in crowd scenes using quaternion discrete cosine transformation signature.
Proceedings of the Proceedings IEEE International Conference on Security, 2014
Multi-scale analysis of contextual information within spatio-temporal video volumes for anomaly detection.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013
A novel statistical learning-based framework for automatic anomaly detection and localization in crowds.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013
Hierarchical activity discovery within spatio-temporal context for video anomaly detection.
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the Fifth International Conference on Digital Image Processing, 2013