Huihui Yue

Papers

Total Citations

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About

Huihui Yue is a rising researcher specializing in underwater computer vision, image enhancement, and marine robotics perception. Their work sits at the critical intersection of low-level image processing and high-level visual understanding, addressing one of the most challenging domains in applied computer vision: the underwater environment. Yue's most notable contribution, "Is Underwater Image Enhancement All Object Detectors Need?" (2024), has already garnered 80 citations in a remarkably short period, reflecting the timeliness and impact of the research within the marine engineering and aquatic robotics communities. This work directly confronts the degradation challenges posed by light selective absorption and scattering in underwater imagery, rigorously examining whether image enhancement preprocessing genuinely benefits downstream object detection tasks — a question with profound practical implications for autonomous underwater vehicles and marine monitoring systems. The rapid accumulation of citations underscores that Yue is addressing a gap the community has been eager to see explored systematically. For students and researchers working on robust perception in challenging visual environments, Yue's investigations into the pipeline connecting image restoration to semantic understanding represent an essential and thought-provoking body of work.