829 citations · 2.2k across the 40 of their papers we have counts for
6 papers · 1 filter
To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene
Zhenfeng Zhu, Yingying Meng, Deqiang Kong +3
Due to the deteriorated conditions of \mbox{illumination} lack and uneven lighting, nighttime images have lower contrast and higher noise than their daytime counterparts of the sam…
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang +3
Graph representation learning aims to encode all nodes of a graph into low-dimensional vectors that will serve as input of many compute vision tasks. However, most existing algorit…
Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples
Hui Li, Jimin Xiao, Mingjie Sun +2
In this paper, we aim to tackle the one-shot person re-identification problem where only one image is labelled for each person, while other images are unlabelled. This task is chal…
Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics
Pengpeng Yang, Rongrong Ni, Yao Zhao +2
Contrast enhancement (CE) forensics techniques have always been of great interest for image forensics community, as they can be an effective tool for recovering image history and i…
Segmentation Mask Guided End-to-End Person Search
Dingyuan Zheng, Jimin Xiao, Kaizhu Huang +1
Person search aims to search for a target person among multiple images recorded by multiple surveillance cameras, which faces various challenges from both pedestrian detection and…
Primary quantization matrix estimation of double compressed JPEG images via CNN
Yakun Niu, Benedetta Tondi, Yao Zhao +1
Available model-based techniques for the estimation of the primary quantization matrix in double-compressed JPEG images work only under specific conditions regarding the relationsh…