Dichao Liu

Orcid: 0000-0002-3344-1959

According to our database1, Dichao Liu authored at least 12 papers between 2017 and 2024.

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

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
MT-ASM: a multi-task attention strengthening model for fine-grained object recognition.
Multim. Syst., October, 2024

Progressive Multi-Task Anti-Noise Learning and Distilling Frameworks for Fine-Grained Vehicle Recognition.
IEEE Trans. Intell. Transp. Syst., September, 2024

SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Learn from each other to Classify better: Cross-layer mutual attention learning for fine-grained visual classification.
Pattern Recognit., August, 2023

Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer.
IEEE Trans. Intell. Transp. Syst., January, 2023

2022
Recursive Multi-Scale Channel-Spatial Attention for Fine-Grained Image Classification.
IEICE Trans. Inf. Syst., 2022

2021
TML: A Triple-Wise Multi-Task Learning Framework for Distracted Driver Recognition.
IEEE Access, 2021

Attention-Based Multi-Task Learning For Fine-Grained Image Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Contrastively-reinforced Attention Convolutional Neural Network for Fine-grained Image Recognition.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Attention-Guided Spatial Transformer Networks for Fine-Grained Visual Recognition.
IEICE Trans. Inf. Syst., 2019

Supervised Spatial Transformer Networks for Attention Learning in Fine-grained Action Recognition.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

2017
Evaluation of Triple-Stream Convolutional Networks for Action Recognition.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017


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