Area of research
Computer Vision and Pattern Recognition · Aerospace Engineering
Research interest
Research interests include Computer science, Artificial intelligence, Computer vision, Object detection, Benchmark (surveying), and Leverage (statistics).
BEVHeight++: Toward Robust Visual Centric 3D Object Detection
Heart sound classification based on convolutional neural network with convolutional block attention module
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection
Pseudo Light Field Image and 4D Wavelet-Transform-Based Reduced-Reference Light Field Image Quality Assessment
DEHRFormer: Real-Time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes
Pathological Brain Detection via Wavelet Packet Tsallis Entropy and Real-Coded Biogeography-based Optimization