Runhui Huang

Orcid: 0000-0001-8910-6300

According to our database1, Runhui Huang authored at least 14 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

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Links

On csauthors.net:

Bibliography

2024
Fine-Grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance.
CoRR, 2024

Efficient Multi-modal Large Language Models via Visual Token Grouping.
CoRR, 2024

HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models.
CoRR, 2024

LayerDiff: Exploring Text-Guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning.
CoRR, 2023

Boosting Visual-Language Models by Exploiting Hard Samples.
CoRR, 2023

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NLIP: Noise-Robust Language-Image Pre-training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
P<sup>3</sup>OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection.
CoRR, 2022

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FILIP: Fine-grained Interactive Language-Image Pre-Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2019
Deep Feature Fusion with Multiple Granularity for Vehicle Re-identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019


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