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

Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring

no code implementations • 1 Jul 2021 • Jianing Qiu, Frank P. -W. Lo, Xiao Gu, Modou L. Jobarteh, Wenyan Jia, Tom Baranowski, Matilda Steiner-Asiedu, Alex K. Anderson, Megan A McCrory, Edward Sazonov, Mingui Sun, Gary Frost, Benny Lo

In this paper, we propose a privacy-preserved secure solution (i. e., egocentric image captioning) for dietary assessment with passive monitoring, which unifies food recognition, volume estimation, and scene understanding.

Food Recognition Image Captioning +1

Real time backbone for semantic segmentation

no code implementations • 16 Mar 2019 • Zhengeng Yang, Hongshan Yu, Qiang Fu, Wei Sun, Wenyan Jia, Mingui Sun, Zhi-Hong Mao

The rapid development of autonomous driving in recent years presents lots of challenges for scene understanding.

Autonomous Driving Model Compression +3