23 citations · 68 across the 12 of their papers we have counts for
12 papers
Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals
Xiao Gu, Wei Tang, Jinpei Han +10
Cardiac biosignals, such as electrocardiograms (ECG) and photoplethysmograms (PPG), are of paramount importance for the diagnosis, prevention, and management of cardiovascular dise…
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation
Qianying Liu, Xiao Gu, Paul Henderson +1
Semi-supervised learning has demonstrated great potential in medical image segmentation by utilizing knowledge from unlabeled data. However, most existing approaches do not explici…
Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition
Yuxuan Shu, Xiao Gu, Guang-Zhong Yang +1
The success of most advanced facial expression recognition works relies heavily on large-scale annotated datasets. However, it poses great challenges in acquiring clean and consist…
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…
Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction
Hanxiao Zhang, Xiao Gu, Minghui Zhang +6
The LIDC-IDRI database is the most popular benchmark for lung cancer prediction. However, with subjective assessment from radiologists, nodules in LIDC may have entirely different…
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)…
Faithful learning with sure data for lung nodule diagnosis
Hanxiao Zhang, Liang Chen, Xiao Gu +6
Recent evolution in deep learning has proven its value for CT-based lung nodule classification. Most current techniques are intrinsically black-box systems, suffering from two gene…
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…
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…
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…
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…
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…