Area of research
Computational Mechanics · Geology
Research interest
Research focused on Artificial intelligence and Discriminative model, with related work in Object detection, Computer vision, Discriminator. Notable publications include 'Few-Shot Object Detection on Remote Sensing Images', 'Building-A-Nets: Robust Building Extraction From High-Resolution Remote Sensing Images With Adversarial Networks', and 'Deep Cross-Modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-Based 3D Shape Retrieval'.
FairCLIP: Harnessing Fairness in Vision-Language Learning
A Multi-Modal Foundation Model to Assist People with Blindness and Low Vision in Environmental Interaction
Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to “See” More, Farther and Faster
Implicit Neural Representations for Medical Imaging Segmentation
SHREC 2022: Protein–ligand binding site recognition
Few-Shot Object Detection on Remote Sensing Images
DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation
Building-A-Nets: Robust Building Extraction From High-Resolution Remote Sensing Images With Adversarial Networks
Deep Cross-Modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-Based 3D Shape Retrieval
Unsupervised Learning of 3D Model Reconstruction from Hand-Drawn Sketches
Sensor fusion for ecologically valid obstacle identification: Building a comprehensive assistive technology platform for the visually impaired
Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence
The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction