Browsing by Author "Guo, Zhixin"

An occlusion-robust feature selection framework in pedestrian detection

Deep learning fusion of RGB and depth images for pedestrian detection

DMDN: Degradation model-based deep network for multi-focus image fusion

FLOPs-efficient filter pruning via transfer scale for neural network acceleration

General Image Fusion for an Arbitrary Number of Inputs Using Convolutional Neural Networks

Occlusion-robust detector trained with occluded pedestrians

Weak segmentation supervised deep neural networks for pedestrian detection