activity
20212025
most citedLarge AI Models in Health Informatics: Applications, Challenges, and the Future

238 citations · 486 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CL2025★ 1 cited

AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening

Frank P. -W. Lo, Jianing Qiu, Zeyu Wang +4

Resume screening is a critical yet time-intensive process in talent acquisition, requiring recruiters to analyze vast volume of job applications while remaining objective, accurate…

cs.CV2023

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…

cs.CV2023★ 142 cited

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…

cs.AI2023★ 238 cited

Large AI Models in Health Informatics: Applications, Challenges, and the Future

Jianing Qiu, Lin Li, Jiankai Sun +11

Large AI models, or foundation models, are models recently emerging with massive scales both parameter-wise and data-wise, the magnitudes of which can reach beyond billions. Once p…

cs.CV2023★ 1 cited

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…

cs.IR2022★ 3 cited

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

Xinwei Ju, Frank Po Wen Lo, Jianing Qiu +3

Food recommendation system has proven as an effective technology to provide guidance on dietary choices, and this is especially important for patients suffering from chronic diseas…

cs.CV2022

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…

cs.CV2022

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)…

cs.CV2022★ 44 cited

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…

cs.CV2021★ 22 cited

Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion

Jianing Qiu, Lipeng Chen, Xiao Gu +5

In this paper, we address the problem of forecasting the trajectory of an egocentric camera wearer (ego-person) in crowded spaces. The trajectory forecasting ability learned from t…

cs.CV2021★ 2 cited

Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation

Xiao Gu, Jianxin Yang, Hanxiao Zhang +5

Accurate estimation of three-dimensional human skeletons from depth images can provide important metrics for healthcare applications, especially for biomechanical gait analysis. Ho…

cs.CV2021★ 7 cited

TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021

Xiao Gu, Jianing Qiu, Yao Guo +2

In this report, the technical details of our submission to the EPIC-Kitchens Action Anticipation Challenge 2021 are given. We developed a hierarchical attention model for action an…

cs.CV2021★ 23 cited

Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring

Jianing Qiu, Frank P. -W. Lo, Xiao Gu +10

Camera-based passive dietary intake monitoring is able to continuously capture the eating episodes of a subject, recording rich visual information, such as the type and volume of f…

cs.CV2021★ 2 cited

An Intelligent Passive Food Intake Assessment System with Egocentric Cameras

Frank Po Wen Lo, Modou L Jobarteh, Yingnan Sun +4

Malnutrition is a major public health concern in low-and-middle-income countries (LMICs). Understanding food and nutrient intake across communities, households and individuals is c…

cs.CV2021★ 1 cited

Indoor Future Person Localization from an Egocentric Wearable Camera

Jianing Qiu, Frank P. -W. Lo, Xiao Gu +3

Accurate prediction of future person location and movement trajectory from an egocentric wearable camera can benefit a wide range of applications, such as assisting visually impair…