Area of research
Electrical and Electronic Engineering · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Tracking (education), Point cloud, Cloud computing, and Point (geometry).
BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
Meta Architecture for Point Cloud Analysis
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
A GPU-based computational framework that bridges neuron simulation and artificial intelligence
Masked Autoencoders for Point Cloud Self-supervised Learning
Dynamic Attention Guided Multi-Trajectory Analysis for Single Object Tracking
Sensory Recruitment Revisited: Ipsilateral V1 Involved in Visual Working Memory
Unsupervised Cross-Dataset Transfer Learning for Person Re-identification
Societally connected multimedia across cultures