no code implementations • 24 May 2024 • Jiayi Chen, Rong Quan, Jie Qin
Instead of completely relying on support images, we propose Self-Matching Transformation (SMT) to construct query-specific transformation matrices based on query images themselves to transform domain-specific query features into domain-agnostic ones.
no code implementations • 15 Mar 2023 • Pan Gao, Xinlang Chen, Rong Quan, Wei Xiang
We employ a recurrent neural network among adjacent prediction stages to model their correlations, and exploit a discriminator at the end of each stage to supervise the output saliency map.
1 code implementation • 5 Dec 2021 • Jie Qin, Peng Zheng, Yichao Yan, Rong Quan, Xiaogang Cheng, Bingbing Ni
Person search aims to jointly localize and identify a query person from natural, uncropped images, which has been actively studied over the past few years.
Ranked #3 on Person Search on CUHK-SYSU
no code implementations • CVPR 2016 • Rong Quan, Junwei Han, Dingwen Zhang, Feiping Nie
Aiming at automatically discovering the common objects contained in a set of relevant images and segmenting them as foreground simultaneously, object co-segmentation has become an active research topic in recent years.