Sakrapee Paisitkriangkrai

According to our database1, Sakrapee Paisitkriangkrai authored at least 32 papers between 2007 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2017
Structured learning of metric ensembles with application to person re-identification.
Comput. Vis. Image Underst., 2017

2016
Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework.
IEEE Trans. Intell. Transp. Syst., 2016

Semantic Labeling of Aerial and Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Training robust models using Random Projection.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Effective semantic pixel labelling with convolutional networks and Conditional Random Fields.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Learning to rank in person re-identification with metric ensembles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
RandomBoost: Simplified Multiclass Boosting Through Randomization.
IEEE Trans. Neural Networks Learn. Syst., 2014

Asymmetric Pruning for Learning Cascade Detectors.
IEEE Trans. Multim., 2014

Large-Margin Learning of Compact Binary Image Encodings.
IEEE Trans. Image Process., 2014

Strengthening the Effectiveness of Pedestrian Detection with Spatially Pooled Features.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Training Effective Node Classifiers for Cascade Classification.
Int. J. Comput. Vis., 2013

RandomBoost: Simplified Multi-class Boosting through Randomization
CoRR, 2013

Efficient pedestrian detection by directly optimize the partial area under the ROC curve.
CoRR, 2013

A scalable stage-wise approach to large-margin multi-class loss based boosting.
CoRR, 2013

Efficient Pedestrian Detection by Directly Optimizing the Partial Area under the ROC Curve.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
A Direct Approach to Multi-class Boosting and Extensions
CoRR, 2012

Sharing features in multi-class boosting via group sparsity.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Robust object detection with efficient features and effective classifiers.
PhD thesis, 2011

Efficiently Learning a Detection Cascade With Sparse Eigenvectors.
IEEE Trans. Image Process., 2011

Incremental Training of a Detector Using Online Sparse Eigendecomposition.
IEEE Trans. Image Process., 2011

Clip-based hierarchical representation for near-duplicate video detection.
Int. J. Comput. Math., 2011

2010
Incremental Training of a Detector Using Online Sparse Eigen-decomposition
CoRR, 2010

Scalable clip-based near-duplicate video detection with ordinal measure.
Proceedings of the 9th ACM International Conference on Image and Video Retrieval, 2010

Face Detection with Effective Feature Extraction.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
An overview of fast pedestrian detection: Feature selection and cascade framework of boosted features.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

A Two-Layer Night-Time Vehicle Detector.
Proceedings of the DICTA 2009, 2009

Efficiently training a better visual detector with sparse eigenvectors.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features.
IEEE Trans. Circuits Syst. Video Technol., 2008

An experimental study on pedestrian classification using local features.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

Face detection from few training examples.
Proceedings of the International Conference on Image Processing, 2008

2007
An Experimental Evaluation of Local Features for Pedestrian Classification.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007


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