Hengyuan Zhao

Orcid: 0000-0001-8047-4465

According to our database1, Hengyuan Zhao authored at least 15 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

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Bibliography

2024
Temporally consistent video colorization with deep feature propagation and self-regularization learning.
Comput. Vis. Media, April, 2024

SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels.
Int. J. Comput. Vis., 2024

LOVA3: Learning to Visual Question Answering, Asking and Assessment.
CoRR, 2024

Reference Prompted Model Adaptation for Referring Camouflaged Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

GENIXER: Empowering Multimodal Large Language Model as a Powerful Data Generator.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Evaluating the Generalization Ability of Super-Resolution Networks.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Very Lightweight Photo Retouching Network With Conditional Sequential Modulation.
IEEE Trans. Multim., 2023

Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator.
CoRR, 2023

Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm.
CoRR, 2023

2022
An Iterative Majorization-Minimization Approach to Deep Denoiser-Plugged Image Inpainting.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

2021
Color2Style: Real-Time Exemplar-Based Image Colorization with Self-Reference Learning and Deep Feature Modulation.
CoRR, 2021

ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Efficient Image Super-Resolution Using Pixel Attention.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


2019
A Simple and Robust Deep Convolutional Approach to Blind Image Denoising.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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