activity
20172022
most citedDeep Ranking Model by Large Adaptive Margin Learning for Person Re-identification

43 citations · 58 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20221 cited

A Perceptual Quality Metric for Video Frame Interpolation

Qiqi Hou, Abhijay Ghildyal, Feng Liu

Research on video frame interpolation has made significant progress in recent years. However, existing methods mostly use off-the-shelf metrics to measure the quality of interpolat…

cs.CV2021

Automatic Portrait Video Matting via Context Motion Network

Qiqi Hou, Charlie Wang

Automatic portrait video matting is an under-constrained problem. Most state-of-the-art methods only exploit the semantic information and process each frame individually. Their per…

cs.CV20211 cited

Fast Monte Carlo Rendering via Multi-Resolution Sampling

Qiqi Hou, Zhan Li, Carl S Marshall +2

Monte Carlo rendering algorithms are widely used to produce photorealistic computer graphics images. However, these algorithms need to sample a substantial amount of rays per pixel…

cs.CV201911 cited

Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation

Qiqi Hou, Feng Liu

Natural image matting is an important problem in computer vision and graphics. It is an ill-posed problem when only an input image is available without any external information. Wh…

cs.CV20172 cited

Large Margin Learning in Set to Set Similarity Comparison for Person Re-identification

Sanping Zhou, Jinjun Wang, Rui Shi +3

Person re-identification (Re-ID) aims at matching images of the same person across disjoint camera views, which is a challenging problem in multimedia analysis, multimedia editing…

cs.CV201743 cited

Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification

Jiayun Wang, Sanping Zhou, Jinjun Wang +1

Person re-identification aims to match images of the same person across disjoint camera views, which is a challenging problem in video surveillance. The major challenge of this tas…