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 27 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
AEGIS: Using Conditional Multi-View Diffusion Model to Achieve Angiographic Enhancement in Non-Contrast CT.
IEEE Trans. Circuits Syst. Video Technol., May, 2026

2025
Flow-Anything: Learning Real-World Optical Flow Estimation From Large-Scale Single-View Images.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

Rethinking the Detail-Preserved Completion of Complex Tubular Structures based on Point Cloud: a Dataset and a Benchmark.
CoRR, August, 2025

Cardiac-CLIP: A Vision-Language Foundation Model for 3D Cardiac CT Images.
CoRR, July, 2025

TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models.
IEEE Trans. Big Data, June, 2025

Hierarchical Self-Distilled Feature Learning for Fine-Grained Visual Categorization.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

Car-1000: A New Large Scale Fine-Grained Visual Categorization Dataset.
CoRR, March, 2025

FCaS: Fine-grained Cardiac Image Synthesis based on 3D Template Conditional Diffusion Model.
CoRR, March, 2025

EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation.
CoRR, January, 2025

Diffusion Self-Distillation for Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2025

RobuSTereo: Robust Zero-Shot Stereo Matching under Adverse Weather.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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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