122 citations · 217 across the 13 of their papers we have counts for
15 papers
Structured learning of metric ensembles with application to person re-identification
Sakrapee Paisitkriangkrai, Lin Wu, Chunhua Shen +1
Matching individuals across non-overlapping camera networks, known as person re-identification, is a fundamentally challenging problem due to the large visual appearance changes ca…
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…
Learning to rank in person re-identification with metric ensembles
Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel
We propose an effective structured learning based approach to the problem of person re-identification which outperforms the current state-of-the-art on most benchmark data sets eva…
Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning
Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel
Many typical applications of object detection operate within a prescribed false-positive range. In this situation the performance of a detector should be assessed on the basis of t…
Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features
Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel
We propose a simple yet effective approach to the problem of pedestrian detection which outperforms the current state-of-the-art. Our new features are built on the basis of low-lev…
Large-margin Learning of Compact Binary Image Encodings
Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel
The use of high-dimensional features has become a normal practice in many computer vision applications. The large dimension of these features is a limiting factor upon the number o…