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ORCIDYuji Yamauchi
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2020 – today
- 2020
[j11]Tokihiko Akita, Yuji Yamauchi, Hironobu Fujiyoshi:
Stereo Vision by Combination of Machine-Learning Techniques for Pedestrian Detection at Intersections Utilizing Surround-View Cameras. J. Robotics Mechatronics 32(3): 494-502 (2020)
2010 – 2019
- 2018
- [j10]Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi, Hiroshi Murase:
Training of CNN with Heterogeneous Learning for Multiple Pedestrian Attributes Recognition Using Rarity Rate. IEICE Trans. Inf. Syst. 101-D(5): 1222-1231 (2018) - [c32]Kohei Kawai, Takahiro Hasegawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Compactification of Affine Transformation Filter Using Tensor Decomposition. ICIP 2018: 2162-2166 - [c31]Tokihiko Akita, Yuji Yamauchi, Hironobu Fujiyoshi:
Machine Learning-based Stereo Vision Algorithm for Surround View Fisheye Cameras. ITSC 2018: 1103-1108 - 2017
- [c30]Takato Kurokawa, Yuji Yamauchi, Mitsuru Ambai, Takayoshi Yamashita, Hironobu Fujiyoshi:
Accelerating Computation of Exemplar-SVM by Binary Approximation based on Matrix Decomposition. BMVC 2017 - [c29]Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi:
Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without Retraining. ICCV Workshops 2017: 1095-1102 - [c28]Yukihiro Achiha, Takayoshi Yamashita, Mitsuru Nakazawa, Soh Masuko
, Yuji Yamauchi, Hironobu Fujiyoshi:
Word Recognition by Combining Outline Emphasis and Synthesize Background. ICEC 2017: 492-496 - [i2]Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi:
Binary-decomposed DCNN for accelerating computation and compressing model without retraining. CoRR abs/1709.04731 (2017) - [i1]Masaya Hibino, Akisato Kimura, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
Denoising random forests. CoRR abs/1710.11004 (2017) - 2016
- [c27]Hiroshi Fukui, Takayoshi Yamashita, Yuu Kato, Ryo Matsui, Takanori Ogata, Yuji Yamauchi, Hironobu Fujiyoshi:
Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning. ACCV Workshops (2) 2016: 392-406 - [c26]Takayoshi Yamashita, Hiroshi Fukui, Yuji Yamauchi, Hironobu Fujiyoshi:
Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network. ICPR 2016: 3500-3505 - [c25]Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi, Hiroshi Murase:
Robust pedestrian attribute recognition for an unbalanced dataset using mini-batch training with rarity rate. Intelligent Vehicles Symposium 2016: 322-327 - [c24]Takahiro Hasegawa, Ryoji Tomizawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Guided Filtering using Reflected IR Image for Improving Quality of Depth Image. VISIGRAPP (3: VISAPP) 2016: 35-41 - 2015
- [j9]Yohei Mishina, Ryuei Murata, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Boosted Random Forest. IEICE Trans. Inf. Syst. 98-D(9): 1630-1636 (2015) - [j8]Yoshifumi Yazawa, Tsutomu Yoshimi, Teruyasu Tsuzuki, Tomomi Dohi, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
FPGA Hardware with Target-Reconfigurable Object Detector. IEICE Trans. Inf. Syst. 98-D(9): 1637-1645 (2015) - [j7]Takayoshi Yamashita, Takaya Nakamura, Hiroshi Fukui, Yuji Yamauchi, Hironobu Fujiyoshi:
Cost-alleviative Learning for Deep Convolutional Neural Network-based Facial Part Labeling. Inf. Media Technol. 10(3): 488-492 (2015) - [j6]Takayoshi Yamashita, Takaya Nakamura, Hiroshi Fukui, Yuji Yamauchi, Hironobu Fujiyoshi:
Cost-alleviative Learning for Deep Convolutional Neural Network-based Facial Part Labeling. IPSJ Trans. Comput. Vis. Appl. 7: 99-103 (2015) - [c23]Ryoji Wakayama, Ryuei Murata, Akisato Kimura, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
Distributed forests for MapReduce-based machine learning. ACPR 2015: 276-280 - [c22]Masamitsu Tsuchiya, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Transfer forest based on covariate shift. ACPR 2015: 760-764 - [c21]Ryuei Murata, Yohei Mishina, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Efficient feature selection method using contribution ratio by random forest. FCV 2015: 1-6 - [c20]Takahiro Hasegawa, Mitsuru Ambai, Kohta Ishikawa, Gou Koutaki, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters. ICCV 2015: 585-593 - [c19]Takayoshi Yamashita, Masayuki Tanaka, Yuji Yamauchi, Hironobu Fujiyoshi:
SWAP-NODE: A regularization approach for deep convolutional neural networks. ICIP 2015: 2475-2479 - [c18]Takayoshi Yamashita, Taro Watasue, Yuji Yamauchi, Hironobu Fujiyoshi:
Facial point detection using convolutional neural network transferred from a heterogeneous task. ICIP 2015: 2725-2729 - [c17]Masatoshi Kimura, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
Facial point detection based on a convolutional neural network with optimal mini-batch procedure. ICIP 2015: 2860-2864 - [c16]Masaya Kaneko, Takahiro Hasegawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi, Hiroshi Murase:
Fast 3D edge detection by using decision tree from depth image. IROS 2015: 1314-1319 - [c15]Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi, Hiroshi Murase:
Pedestrian detection based on deep convolutional neural network with ensemble inference network. Intelligent Vehicles Symposium 2015: 223-228 - [c14]Yosuke Murai, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Weighted Hough Forest for object detection. MVA 2015: 122-125 - [c13]Takato Kurokawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Fast discrimination by early judgment using linear classifier. MVA 2015: 234-237 - [c12]Takayoshi Yamashita, Taro Watasue, Yuji Yamauchi, Hironobu Fujiyoshi:
Improving Quality of Training Samples Through Exhaustless Generation and Effective Selection for Deep Convolutional Neural Networks. VISAPP (2) 2015: 228-235 - 2014
- [c11]Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi, Takayoshi Yamashita:
Asymmetric Feature Representation for Object Recognition in Client Server System. ACCV (1) 2014: 598-612 - [c10]Takahiro Hasegawa, Yuji Yamauchi, Mitsuru Ambai, Yuichi Yoshida, Hironobu Fujiyoshi:
Keypoint detection by cascaded fast. ICIP 2014: 5676-5680 - [c9]Takayoshi Yamashita, Masayuki Tanaka, Eiji Yoshida, Yuji Yamauchi, Hironobu Fujiyoshi:
To Be Bernoulli or to Be Gaussian, for a Restricted Boltzmann Machine. ICPR 2014: 1520-1525 - 2013
- [j5]Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi:
Distance Computation Between Binary Code and Real Vector for Efficient Keypoint Matching. Inf. Media Technol. 8(4): 1110-1114 (2013) - [j4]Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi:
Distance Computation Between Binary Code and Real Vector for Efficient Keypoint Matching. IPSJ Trans. Comput. Vis. Appl. 5: 124-128 (2013) - [c8]Masamitsu Tsuchiya, Yuji Yamauchi, Hironobu Fujiyoshi, Takayoshi Yamashita:
Hybrid Transfer Learning for Efficient Learning in Object Detection. ACPR 2013: 69-73 - [c7]Yuji Yamauchi, Takeo Kanade, Hironobu Fujiyoshi:
Classifier Introducing Transition Likelihood Model Based on Quantization Residual. ACPR 2013: 272-277 - [c6]Yuhi Goto, Yuji Yamauchi, Hironobu Fujiyoshi:
CS-HOG: Color similarity-based HOG. FCV 2013: 266-271 - 2012
- [j3]Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
A Single Framework for Action Recognition Based on Boosted Randomized Trees. Inf. Media Technol. 7(1): 230-241 (2012) - [j2]Frank Ruskey, Jennifer Woodcock, Yuji Yamauchi:
Counting and computing the Rand and block distances of pairs of set partitions. J. Discrete Algorithms 16: 236-248 (2012) - 2011
- [j1]Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
A Single Framework for Action Recognition Based on Boosted Randomized Trees. IPSJ Trans. Comput. Vis. Appl. 3: 160-171 (2011) - [c5]Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
Human detection for multiple pose by boosted randomized trees. ACPR 2011: 229-233 - [c4]Yuji Yamauchi, Hironobu Fujiyoshi:
Automatic generation of training samples and a learning method based on advanced MILBoost for human detection. ACPR 2011: 603-607 - [c3]Yuji Yamauchi, Chika Matsushima, Takayoshi Yamashita, Hironobu Fujiyoshi:
Relational HOG feature with wild-card for object detection. ICCV Workshops 2011: 1785-1792 - 2010
- [c2]Yuji Yamauchi, Masanari Takagi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Feature co-occurrence representation based on boosting for object detection. CVPR Workshops 2010: 31-38
2000 – 2009
- 2008
- [c1]Yuji Yamauchi, Hironobu Fujiyoshi, Bon-Woo Hwang, Takeo Kanade:
People detection based on co-occurrence of appearance and spatiotemporal features. ICPR 2008: 1-4
Coauthor Index
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