Tianshan Liu
Orcid: 0000-0003-3831-8893
According to our database1,
Tianshan Liu
authored at least 47 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Distilling Privileged Knowledge for Anomalous Event Detection From Weakly Labeled Videos.
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Part-pixel transformer with smooth alignment fusion for domain adaptation person re-identification.
Signal Image Video Process., June, 2024
Holistic-Guided Disentangled Learning With Cross-Video Semantics Mining for Concurrent First-Person and Third-Person Activity Recognition.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Category-Aware Saliency Enhance Learning Based on CLIP for Weakly Supervised Salient Object Detection.
Neural Process. Lett., April, 2024
Injecting Text Clues for Improving Anomalous Event Detection From Weakly Labeled Videos.
IEEE Trans. Image Process., 2024
Structured Adversarial Self-Supervised Learning for Robust Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024
Patch-based tendency camera multi-constraint learning for unsupervised person re-identification.
J. Vis. Commun. Image Represent., 2024
Toward effective local dimming-driven liquid crystal displays: a deep curve estimation-based adaptive compensation solution.
J. Electronic Imaging, 2024
Deep progressive feature aggregation network for multi-frame high dynamic range imaging.
Neurocomputing, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
2023
Multi-stream ternary enhanced graph convolutional network for skeleton-based action recognition.
Neural Comput. Appl., September, 2023
Heterogeneous dual network with feature consistency for domain adaptation person re-identification.
Int. J. Mach. Learn. Cybern., May, 2023
Weakly Supervised Distribution Discrepancy Minimization Learning With State Information for Person Re-Identification.
IEEE Trans. Multim., 2023
Boosting Object Detectors via Strong-Classification Weak-Localization Pretraining in Remote Sensing Imagery.
IEEE Trans. Instrum. Meas., 2023
Decouple and Resolve: Transformer-Based Models for Online Anomaly Detection From Weakly Labeled Videos.
IEEE Trans. Inf. Forensics Secur., 2023
Spatial-Temporal Graphs Plus Transformers for Geometry-Guided Facial Expression Recognition.
IEEE Trans. Affect. Comput., 2023
Geometry-Aware Facial Expression Recognition via Attentive Graph Convolutional Networks.
IEEE Trans. Affect. Comput., 2023
IEEE Signal Process. Lett., 2023
J. Electronic Imaging, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
Unsupervised Domain Adaptation by Multi-Loss Gap Minimization Learning for Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2022
Deep Cross-Modal Representation Learning and Distillation for Illumination-Invariant Pedestrian Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022
Enhanced Attention Tracking With Multi-Branch Network for Egocentric Activity Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
SPRTracker: Learning Spatial-Temporal Pixel Aggregations for Multiple Object Tracking.
IEEE Signal Process. Lett., 2022
Dynamic trajectory quantification strategy for multiple object tracking with feature rearrangement.
J. Electronic Imaging, 2022
Visual-semantic graph neural network with pose-position attentive learning for group activity recognition.
Neurocomputing, 2022
CoRR, 2022
Angle Tokenization Guided Multi-Scale Vision Transformer for Oriented Object Detection in Remote Sensing Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
A Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One-shot Representation Forecasting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Dynamic Center Aggregation Loss With Mixed Modality for Visible-Infrared Person Re-Identification.
IEEE Signal Process. Lett., 2021
Int. J. Mach. Learn. Cybern., 2021
J. Vis. Commun. Image Represent., 2021
Multi-stream mixed graph convolutional networks for skeleton-based action recognition.
J. Electronic Imaging, 2021
Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition.
J. Biomed. Informatics, 2021
Balanced distortion and perception in single-image super-resolution based on optimal transport in wavelet domain.
Neurocomputing, 2021
Multimodal-Semantic Context-Aware Graph Neural Network for Group Activity Recognition.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Structure-Enhanced Attentive Learning For Spine Segmentation From Ultrasound Volume Projection Images.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Progressive Motion Representation Distillation With Two-Branch Networks for Egocentric Activity Recognition.
IEEE Signal Process. Lett., 2020
J. Vis. Commun. Image Represent., 2020
Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Int. J. Mach. Learn. Cybern., 2019
J. Vis. Commun. Image Represent., 2019
J. Electronic Imaging, 2019
KSII Trans. Internet Inf. Syst., 2019