Xiaoliang Zhang

Orcid: 0000-0001-9313-8428

Affiliations:
  • University of Electronic Science and Technology of China, China
  • Southwest Jiaotong University, School of Information Science and Technical, Chengdu, China (former)


According to our database1, Xiaoliang Zhang authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Dual Mask Branches for Instance Segmentation.
Proceedings of the 8th International Conference on Digital Signal Processing, 2024

2023
Disturbed Augmentation Invariance for Unsupervised Visual Representation Learning.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Scale-Hybrid Group Distillation with Knowledge Disentangling for Continual Semantic Segmentation.
Sensors, September, 2023

What Happens in Crowd Scenes: A New Dataset About Crowd Scenes for Image Captioning.
IEEE Trans. Multim., 2023

Unsupervised Visual Representation Learning via Multi-Dimensional Relationship Alignment.
IEEE Trans. Image Process., 2023

Contrastive Continuity on Augmentation Stability Rehearsal for Continual Self-Supervised Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Segmenting Beyond the Bounding Box for Instance Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Real-time panoptic segmentation with relationship between adjacent pixels and boundary prediction.
Neurocomputing, 2022

Mining Regional Relation from Pixel-wise Annotation for Scene Parsing.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Three-Dimensional Offset Vector for Panoptic Segmentation.
Proceedings of the 6th International Conference on Video and Image Processing, 2022

2017
Design of a Fatigue Detection System for High-Speed Trains Based on Driver Vigilance Using a Wireless Wearable EEG.
Sensors, 2017

2016
A Novel Multi-Sensor Environmental Perception Method Using Low-Rank Representation and a Particle Filter for Vehicle Reversing Safety.
Sensors, 2016


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