EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions

no code implementations • 8 Feb 2023 • Peilun Shi, Jiachuan Peng, Jianing Qiu, Xinwei Ju, Frank Po Wen Lo, Benny Lo

Comprehensive experiments have been conducted, and the impact of different adverse weather combinations on the performance of framework has also been investigated.

Autonomous Driving Monocular Depth Estimation

MenuAI: Restaurant Food Recommendation System via a Transformer-based Deep Learning Model

no code implementations • 15 Oct 2022 • Xinwei Ju, Frank Po Wen Lo, Jianing Qiu, Peilun Shi, Jiachuan Peng, Benny Lo

The promising results, with accuracy ranging from 77. 2% to 99. 5%, have demonstrated the great potential of LTR model in addressing food recommendation problems.

Food recommendation Learning-To-Rank +2

Clustering Egocentric Images in Passive Dietary Monitoring with Self-Supervised Learning

no code implementations • 25 Aug 2022 • Jiachuan Peng, Peilun Shi, Jianing Qiu, Xinwei Ju, Frank P. -W. Lo, Xiao Gu, Wenyan Jia, Tom Baranowski, Matilda Steiner-Asiedu, Alex K. Anderson, Megan A McCrory, Edward Sazonov, Mingui Sun, Gary Frost, Benny Lo

By clustering images into separate events, annotators and dietitians can examine and analyze the data more efficiently and facilitate the subsequent dietary assessment processes.

Clustering Self-Supervised Learning