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Zhenda Yu

2 accepted papers

2025

DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision

ICASSP 2025accepted

Low-light image enhancement restores the colors and details of a single image and improves high-level visual tasks. However, restoring the lost details in the dark area is still a challenge relying only on the RGB domain. In this paper, we delve into frequency as a new clue into the model and propos…

Cited by 0SourceScholar
2025

ViCo: A Multitask Video-enhanced and Cognition-preserving Modality Alignment Training Framework

ICASSP 2025accepted

The rapid development of multimodal large language models (MLLMs) has brought significant breakthroughs to this field. However, current MLLMs typically rely on vision instruction tuning based on large language models (LLMs) to endow them with multimodal capabilities, which may lead to low video util…

Cited by 0SourceScholar