Dichao Liu
Orcid: 0000-0002-3344-1959
According to our database1,
Dichao Liu
authored at least 12 papers
between 2017 and 2024.
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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
IEEE Access, 2021
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
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
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017