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Sakrapee Paisitkriangkrai
Sakrapee Paisitkriangkrai
Postdoctoral research fellow, Australian Centre for Visual Technologies, The University of Adelaide
Verified email at adelaide.edu.au - Homepage
Title
Cited by
Cited by
Year
Learning to rank in person re-identification with metric ensembles
S Paisitkriangkrai, C Shen, A Van Den Hengel
Proceedings of the IEEE conference on computer vision and pattern …, 2015
5392015
Effective semantic pixel labelling with convolutional networks and conditional random fields
S Paisitkriangkrai, J Sherrah, P Janney, VD Hengel
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
2792015
Strengthening the effectiveness of pedestrian detection with spatially pooled features
S Paisitkriangkrai, C Shen, A Van Den Hengel
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
2172014
Fast pedestrian detection using a cascade of boosted covariance features
S Paisitkriangkrai, C Shen, J Zhang
IEEE Transactions on Circuits and Systems for Video Technology 18 (8), 1140-1151, 2008
1922008
Pedestrian detection with spatially pooled features and structured ensemble learning
S Paisitkriangkrai, C Shen, A van den Hengel
IEEE transactions on pattern analysis and machine intelligence 38 (6), 1243-1257, 2015
1642015
Semantic labeling of aerial and satellite imagery
S Paisitkriangkrai, J Sherrah, P Janney, A Van Den Hengel
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
1462016
Fast detection of multiple objects in traffic scenes with a common detection framework
Q Hu, S Paisitkriangkrai, C Shen, A van den Hengel, F Porikli
IEEE Transactions on Intelligent Transportation Systems 17 (4), 1002-1014, 2015
1322015
Performance evaluation of local features in human classification and detection
S Paisitkriangkrai, C Shen, J Zhang
IET Computer Vision 2 (4), 236-246, 2008
662008
Efficient pedestrian detection by directly optimizing the partial area under the ROC curve
S Paisitkriangkrai, C Shen, A Van Den Hengel
Proceedings of the IEEE international conference on computer vision, 1057-1064, 2013
602013
Training effective node classifiers for cascade classification
C Shen, P Wang, S Paisitkriangkrai, A van den Hengel
International journal of computer vision 103, 326-347, 2013
392013
Efficiently learning a detection cascade with sparse eigenvectors
C Shen, S Paisitkriangkrai, J Zhang
IEEE Transactions on Image Processing 20 (1), 22-35, 2010
382010
A two-layer night-time vehicle detector
W Wang, C Shen, J Zhang, S Paisitkriangkrai
2009 Digital Image Computing: Techniques and Applications, 162-167, 2009
382009
Face detection with effective feature extraction
S Paisitkriangkrai, C Shen, J Zhang
Computer Vision–ACCV 2010: 10th Asian Conference on Computer Vision …, 2011
292011
Training robust models using random projection
NX Vinh, S Erfani, S Paisitkriangkrai, J Bailey, C Leckie, ...
2016 23rd International Conference on Pattern Recognition (ICPR), 531-536, 2016
272016
Scalable clip-based near-duplicate video detection with ordinal measure
S Paisitkriangkrai, T Mei, J Zhang, XS Hua
Proceedings of the ACM international conference on image and video retrieval …, 2010
262010
Incremental training of a detector using online sparse eigendecomposition
S Paisitkriangkrai, C Shen, J Zhang
IEEE Transactions on Image Processing 20 (1), 213-226, 2010
222010
Face detection from few training examples
C Shen, S Paisitkriangkrai, J Zhang
2008 15th IEEE International Conference on Image Processing, 2764-2767, 2008
202008
A scalable stagewise approach to large-margin multiclass loss-based boosting
S Paisitkriangkrai, C Shen, A van den Hengel
IEEE transactions on neural networks and learning systems 25 (5), 1002-1013, 2013
162013
An experimental evaluation of local features for pedestrian classification
S Paisitkriangkrai, C Shen, J Zhang
9th Biennial Conference of the Australian Pattern Recognition Society on …, 2007
162007
Efficiently training a better visual detector with sparse eigenvectors
S Paisitkriangkrai, C Shen, J Zhang
2009 IEEE Conference on Computer Vision and Pattern Recognition, 1129-1136, 2009
142009
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