Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Enhanced Data Rates for GSM Evolution, Pixel, Benchmark (surveying), and Pascal (unit).
MuGE: Multiple Granularity Edge Detection
The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector
EDTER: Edge Detection with Transformer
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth
Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemsets With Multi-Scale Features