Yutao Hu

Orcid: 0000-0002-1287-6515

Affiliations:
  • University of Hong Kong, Hong Kong
  • Shanghai AI Laboratory, China
  • Beihang University, School of Electronics and Information Engineering, Beijing, China (former)


According to our database1, Yutao Hu authored at least 15 papers between 2020 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Learning Foreground Information Bottleneck for few-shot semantic segmentation.
Pattern Recognit., February, 2024

OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Boosting Variational Inference With Margin Learning for Few-Shot Scene-Adaptive Anomaly Detection.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

Tiny LVLM-eHub: Early Multimodal Experiments with Bard.
CoRR, 2023

Beyond One-to-One: Rethinking the Referring Image Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Variational Self-Distillation for Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Attentive encoder-decoder networks for crowd counting.
Neurocomputing, 2022

2021
Alignment Enhancement Network for Fine-grained Visual Categorization.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Attentional Kernel Encoding Networks for Fine-Grained Visual Categorization.
IEEE Trans. Circuits Syst. Video Technol., 2021

Long-range Attention Network for Multi-View Stereo.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Adaptive Anomaly Detection Network for Unseen Scene Without Fine-Tuning.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020
Improving Backbones Performance by Complex Architectures.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

The Fusion of Neural Architecture Search and Destruction and Construction Learning - First Classified.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Few-Shot Semantic Segmentation with Democratic Attention Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

NAS-Count: Counting-by-Density with Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020


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