122 citations · 202 across the 3 of their papers we have counts for
3 papers
cs.CV2017★ 76 cited
Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification
Lin Wu, Yang Wang
Given a pedestrian image as a query, the purpose of person re-identification is to identify the correct match from a large collection of gallery images depicting the same person ca…
cs.CV2016★ 4 cited
Pushing the Limits of Deep CNNs for Pedestrian Detection
Qichang Hu, Peng Wang, Chunhua Shen +2
Compared to other applications in computer vision, convolutional neural networks have under-performed on pedestrian detection. A breakthrough was made very recently by using sophis…
cs.CV2015★ 122 cited
Fast detection of multiple objects in traffic scenes with a common detection framework
Qichang Hu, Sakrapee Paisitkriangkrai, Chunhua Shen +2
Traffic scene perception (TSP) aims to real-time extract accurate on-road environment information, which in- volves three phases: detection of objects of interest, recognition of d…