Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Multimodal Machine Learning Applications, Topic Modeling, Domain Adaptation and Few-Shot Learning, and Advanced Neural Network Applications.
Enhancing Spinal Metastasis Detection and Feature Evaluation on Computed Tomography Scans Using Deep‐Learning Systems
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge
EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning
Robust Collaborative 3D Object Detection in Presence of Pose Errors
Collaboration Helps Camera Overtake LiDAR in 3D Detection
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
Registration Based Few-Shot Anomaly Detection
A Fourier-based Framework for Domain Generalization
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network