Yuji Yamauchi

According to our database1, Yuji Yamauchi authored at least 41 papers between 2008 and 2020.

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Bibliography

2020
Stereo Vision by Combination of Machine-Learning Techniques for Pedestrian Detection at Intersections Utilizing Surround-View Cameras.
J. Robotics Mechatronics, 2020

2018
Training of CNN with Heterogeneous Learning for Multiple Pedestrian Attributes Recognition Using Rarity Rate.
IEICE Trans. Inf. Syst., 2018

Machine Learning-based Stereo Vision Algorithm for Surround View Fisheye Cameras.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Compactification of Affine Transformation Filter Using Tensor Decomposition.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Denoising random forests.
CoRR, 2017

Word Recognition by Combining Outline Emphasis and Synthesize Background.
Proceedings of the Entertainment Computing - ICEC 2017, 2017

Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without Retraining.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Accelerating Computation of Exemplar-SVM by Binary Approximation based on Matrix Decomposition.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Guided Filtering using Reflected IR Image for Improving Quality of Depth Image.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Robust pedestrian attribute recognition for an unbalanced dataset using mini-batch training with rarity rate.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015
Cost-alleviative Learning for Deep Convolutional Neural Network-based Facial Part Labeling.
IPSJ Trans. Comput. Vis. Appl., 2015

FPGA Hardware with Target-Reconfigurable Object Detector.
IEICE Trans. Inf. Syst., 2015

Boosted Random Forest.
IEICE Trans. Inf. Syst., 2015

Improving Quality of Training Samples Through Exhaustless Generation and Effective Selection for Deep Convolutional Neural Networks.
Proceedings of the VISAPP 2015, 2015

Weighted Hough Forest for object detection.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Fast discrimination by early judgment using linear classifier.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Pedestrian detection based on deep convolutional neural network with ensemble inference network.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Fast 3D edge detection by using decision tree from depth image.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Facial point detection using convolutional neural network transferred from a heterogeneous task.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

SWAP-NODE: A regularization approach for deep convolutional neural networks.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Facial point detection based on a convolutional neural network with optimal mini-batch procedure.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Efficient feature selection method using contribution ratio by random forest.
Proceedings of the 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2015

Distributed forests for MapReduce-based machine learning.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

Transfer forest based on covariate shift.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014
To Be Bernoulli or to Be Gaussian, for a Restricted Boltzmann Machine.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Keypoint detection by cascaded fast.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Asymmetric Feature Representation for Object Recognition in Client Server System.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Distance Computation Between Binary Code and Real Vector for Efficient Keypoint Matching.
IPSJ Trans. Comput. Vis. Appl., 2013

CS-HOG: Color similarity-based HOG.
Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, Incheon, Korea (South), January 30, 2013

Classifier Introducing Transition Likelihood Model Based on Quantization Residual.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

Hybrid Transfer Learning for Efficient Learning in Object Detection.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012
Counting and computing the Rand and block distances of pairs of set partitions.
J. Discrete Algorithms, 2012

2011
A Single Framework for Action Recognition Based on Boosted Randomized Trees.
IPSJ Trans. Comput. Vis. Appl., 2011

Relational HOG feature with wild-card for object detection.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Automatic generation of training samples and a learning method based on advanced MILBoost for human detection.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

Human detection for multiple pose by boosted randomized trees.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
Feature co-occurrence representation based on boosting for object detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008
People detection based on co-occurrence of appearance and spatiotemporal features.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008


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