Xiao Gu

Affiliations:
  • Imperial College London, Hamlyn Centre, Institute of Global Health Innovation, UK
  • Fudan University, Center for Intelligent Medical Electronics, Shanghai, China (until 2018)


According to our database1, Xiao Gu authored at least 27 papers between 2017 and 2023.

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Bibliography

2023
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT.
Medical Image Anal., 2023

2022
Cross-Domain Self-Supervised Complete Geometric Representation Learning for Real-Scanned Point Cloud Based Pathological Gait Analysis.
IEEE J. Biomed. Health Informatics, 2022

Egocentric Human Trajectory Forecasting With a Wearable Camera and Multi-Modal Fusion.
IEEE Robotics Autom. Lett., 2022

Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition.
CoRR, 2022

Clustering Egocentric Images in Passive Dietary Monitoring with Self-Supervised Learning.
CoRR, 2022

Faithful learning with sure data for lung nodule diagnosis.
CoRR, 2022

Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

Ego+X: An Egocentric Vision System for Global 3D Human Pose Estimation and Social Interaction Characterization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

PoseSDF: Simultaneous 3D Human Shape Reconstruction and Gait Pose Estimation Using Signed Distance Functions.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Tackling Long-Tailed Category Distribution Under Domain Shifts.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Cross-Subject and Cross-Modal Transfer for Generalized Abnormal Gait Pattern Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2021

MCDCD: Multi-Source Unsupervised Domain Adaptation for Abnormal Human Gait Detection.
IEEE J. Biomed. Health Informatics, 2021

Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation.
CoRR, 2021

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

Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring.
CoRR, 2021

Indoor Future Person Localization from an Egocentric Wearable Camera.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Semi-Supervised Contrastive Learning for Generalizable Motor Imagery EEG Classification.
Proceedings of the 17th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2021

2020
Coupled Real-Synthetic Domain Adaptation for Real-World Deep Depth Enhancement.
IEEE Trans. Image Process., 2020

Unsupervised Domain Adaptation for Position-Independent IMU Based Gait Analysis.
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

EMG-based Abnormal Gait Detection and Recognition.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

2019
3-D Canonical Pose Estimation and Abnormal Gait Recognition With a Single RGB-D Camera.
IEEE Robotics Autom. Lett., 2019

Independent Decision Path Fusion for Bimodal Asynchronous Brain-Computer Interface to Discriminate Multiclass Mental States.
IEEE Access, 2019

2018
Automatic Atrial Fibrillation Detection Based on Heart Rate Variability and Spectral Features.
IEEE Access, 2018

A Modified Common Spatial Pattern Algorithm Customized for Feature Dimensionality Reduction in fNIRS-Based BCIs.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Markerless gait analysis based on a single RGB camera.
Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

2017
A wearable sensor system for neonatal seizure monitoring.
Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017


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