Tianshan Liu

Orcid: 0000-0003-3831-8893

According to our database1, Tianshan Liu authored at least 39 papers between 2019 and 2024.

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Bibliography

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

Structured Adversarial Self-Supervised Learning for Robust Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 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

CALTracker: Cross-Task Association Learning for Multiple Object Tracking.
IEEE Signal Process. Lett., 2023

Pyramid Masked Image Modeling for Transformer-Based Aerial Object Detection.
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

MOTFR: Multiple Object Tracking Based on Feature Recoding.
IEEE Trans. Circuits Syst. Video Technol., 2022

SPRTracker: Learning Spatial-Temporal Pixel Aggregations for Multiple Object Tracking.
IEEE Signal Process. Lett., 2022

Visual-semantic graph neural network with pose-position attentive learning for group activity recognition.
Neurocomputing, 2022

Multi-scale Sampling and Aggregation Network For High Dynamic Range Imaging.
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
Invertible Image Decolorization.
IEEE Trans. Image Process., 2021

Dynamic Center Aggregation Loss With Mixed Modality for Visible-Infrared Person Re-Identification.
IEEE Signal Process. Lett., 2021

Spatiotemporal attention enhanced features fusion network for action recognition.
Int. J. Mach. Learn. Cybern., 2021

Diverse Features Fusion Network for video-based action recognition.
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

Multiple depth-levels features fusion enhanced network for action recognition.
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

Flow-guided Spatial Attention Tracking for Egocentric Activity Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Collaborative model with adaptive selection scheme for visual tracking.
Int. J. Mach. Learn. Cybern., 2019

Collaborative multimodal feature learning for RGB-D action recognition.
J. Vis. Commun. Image Represent., 2019

RGB-D action recognition based on discriminative common structure learning model.
J. Electronic Imaging, 2019

Adaptive Weight Collaborative Complementary Learning for Robust Visual Tracking.
KSII Trans. Internet Inf. Syst., 2019


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