most citedNeuro-Symbolic Learning: Principles and Applications in Ophthalmology

7 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20233 cited

MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results

Yuekun Dai, Chongyi Li, Shangchen Zhou +6

Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobi…

cs.CV2023

MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results

Qingpeng Zhu, Wenxiu Sun, Yuekun Dai +20

Depth completion from RGB images and sparse Time-of-Flight (ToF) measurements is an important problem in computer vision and robotics. While traditional methods for depth completio…

eess.IV2023

MIPI 2023 Challenge on RGBW Fusion: Methods and Results

Qianhui Sun, Qingyu Yang, Chongyi Li +7

Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobi…

eess.IV2023

MIPI 2023 Challenge on RGBW Remosaic: Methods and Results

Qianhui Sun, Qingyu Yang, Chongyi Li +7

Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobi…

cs.CV20227 cited

Neuro-Symbolic Learning: Principles and Applications in Ophthalmology

Muhammad Hassan, Haifei Guan, Aikaterini Melliou +24

Neural networks have been rapidly expanding in recent years, with novel strategies and applications. However, challenges such as interpretability, explainability, robustness, safet…