Papers
2
Total Citations
60
H-Index
2
About
Dr. Chao Yi is a leading researcher in underwater computer vision, specializing in deep learning techniques for image enhancement and restoration. His work addresses critical challenges in oceanic exploration, where degraded visual perception hinders underwater robots in geological surveys, resource extraction, and ecological monitoring. Dr. Yi’s most impactful contribution is his 2021 paper on "Underwater Image Enhancement based on Deep Learning and Image Formation Model," which has garnered 51 citations. This work integrates physical image formation models with deep neural networks to correct color distortion and improve clarity in turbid waters, directly advancing autonomous underwater vehicle navigation. He further refined visual quality through "Progressive Attentional Learning for Underwater Image Super-Resolution" (2020), introducing attention mechanisms that selectively enhance fine details in low-resolution imagery. By bridging model-based and learning-based approaches, Dr. Yi has established a foundation for robust underwater perception, enabling more reliable data collection in extreme marine environments. His research continues to influence both robotic vision systems and marine science applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Progressive Attentional Learning for Underwater Image Super-Resolution9 citations · 2020