Area of research
Computer Vision and Pattern Recognition · Information Systems
Research interest
Research interests include Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Visual Attention and Saliency Detection, and Blockchain Technology Applications and Security.
Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution
Benchmarking deep models on salient object detection
AC2AS: Activation Consistency Coupled ANN-SNN framework for fast and memory-efficient SNN training
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation
AcroFOD: An Adaptive Method for Cross-Domain Few-Shot Object Detection