238 citations · 438 across the 11 of their papers we have counts for
12 papers · 1 filter
Dietary Assessment with Multimodal ChatGPT: A Systematic Analysis
Frank P. -W. Lo, Jianing Qiu, Zeyu Wang +6
Conventional approaches to dietary assessment are primarily grounded in self-reporting methods or structured interviews conducted under the supervision of dietitians. These methods…
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation
Peilun Shi, Jianing Qiu, Sai Mu Dalike Abaxi +3
In this paper, we examine the recent Segment Anything Model (SAM) on medical images, and report both quantitative and qualitative zero-shot segmentation results on nine medical ima…
EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions
Peilun Shi, Jiachuan Peng, Jianing Qiu +3
Accurate depth estimation under adverse night conditions has practical impact and applications, such as on autonomous driving and rescue robots. In this work, we studied monocular…
Clustering Egocentric Images in Passive Dietary Monitoring with Self-Supervised Learning
Jiachuan Peng, Peilun Shi, Jianing Qiu +12
In our recent dietary assessment field studies on passive dietary monitoring in Ghana, we have collected over 250k in-the-wild images. The dataset is an ongoing effort to facilitat…
Tackling Long-Tailed Category Distribution Under Domain Shifts
Xiao Gu, Yao Guo, Zeju Li +5
Machine learning models fail to perform well on real-world applications when 1) the category distribution P(Y) of the training dataset suffers from long-tailed distribution and 2)…
Mining Discriminative Food Regions for Accurate Food Recognition
Jianing Qiu, Frank P. -W. Lo, Yingnan Sun +2
Automatic food recognition is the very first step towards passive dietary monitoring. In this paper, we address the problem of food recognition by mining discriminative food region…