Area of research
Computer Vision and Pattern Recognition
Research interest
Research focused on Artificial intelligence and Discriminative model, with related work in Point cloud, Mean squared error, Pattern recognition (psychology). Notable publications include 'ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection', 'Spatial information enhancement network for 3D object detection from point cloud', and 'Hourly solar irradiance forecasting based on encoder–decoder model using series decomposition and dynamic error compensation'.
Enhancing knowledge distillation for semantic segmentation through text-assisted modular plugins
Domain adaptive depth completion via spatial-error consistency
ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection
Enhancing time series forecasting: A hierarchical transformer with probabilistic decomposition representation
SSPNet: Scale and spatial priors guided generalizable and interpretable pedestrian attribute recognition
Enhancing motion visual cues for self-supervised video representation learning
Spatial information enhancement network for 3D object detection from point cloud
Hourly solar irradiance forecasting based on encoder–decoder model using series decomposition and dynamic error compensation
A multi-task Faster R-CNN method for 3D vehicle detection based on a single image
Discriminative Multi-View Interactive Image Re-Ranking
Probabilistic Hypergraph Optimization for Salient Object Detection
A novel pixel neighborhood differential statistic feature for pedestrian and face detection
A novel label learning algorithm for face recognition