activity
20182020
most citedReceptive Multi-granularity Representation for Person Re-Identification

30 citations · 31 across the 2 of their papers we have counts for

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cs.CV202030 cited

Receptive Multi-granularity Representation for Person Re-Identification

Guanshuo Wang, Yufeng Yuan, Jiwei Li +2

A key for person re-identification is achieving consistent local details for discriminative representation across variable environments. Current stripe-based feature learning appro…

cs.CV2019

Relation-Aware Pyramid Network (RapNet) for temporal action proposal

Jialin Gao, Zhixiang Shi, Jiani Li +3

In this technical report, we describe our solution to temporal action proposal (task 1) in ActivityNet Challenge 2019. First, we fine-tune a ResNet-50-C3D CNN on ActivityNet v1.3 b…

cs.CV2018

Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks

Yuan Li, Yuanjie Yu, Zefeng Li +4

Recently, semantic segmentation and general object detection frameworks have been widely adopted by scene text detecting tasks. However, both of them alone have obvious shortcoming…

cs.CV2018

Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification

Yang Fu, Yunchao Wei, Guanshuo Wang +3

Domain adaptation in person re-identification (re-ID) has always been a challenging task. In this work, we explore how to harness the natural similar characteristics existing in th…

cs.CV2018

Learning Discriminative Features with Multiple Granularities for Person Re-Identification

Guanshuo Wang, Yufeng Yuan, Xiong Chen +2

The combination of global and partial features has been an essential solution to improve discriminative performances in person re-identification (Re-ID) tasks. Previous part-based…