Linhu Liu

Orcid: 0000-0001-5253-6649

According to our database1, Linhu Liu authored at least 14 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Diverse image search with explanations.
Multim. Tools Appl., 2024

2023
Feature-Suppressed Contrast for Self-Supervised Food Pre-training.
CoRR, 2023

Feature-Suppressed Contrast for Self-Supervised Food Pre-training.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Unified Multi-modal Structure for Retrieving Tracked Vehicles through Natural Language Descriptions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learn More for Food Recognition via Progressive Self-Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Semi-supervised Medical Image Segmentation with Semantic Distance Distribution Consistency Learning.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Semi-Supervised 3D Medical Image Segmentation Via Boundary-Aware Consistent Hidden Representation Learning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2020
Few-shot Food Recognition via Multi-view Representation Learning.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Multi-Task Deep Relative Attribute Learning for Visual Urban Perception.
IEEE Trans. Image Process., 2020

Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition.
IEEE Trans. Image Process., 2020

ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Deep Patch Representations with Shared Codebook for Scene Classification.
ACM Trans. Multim. Comput. Commun. Appl., 2019

A Survey on Food Computing.
ACM Comput. Surv., 2019

Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition.
Proceedings of the 27th ACM International Conference on Multimedia, 2019


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