Folgen
Hajime Nagahara
Hajime Nagahara
Professor of Osaka University
Bestätigte E-Mail-Adresse bei ids.osaka-u.ac.jp - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Iternet: Retinal image segmentation utilizing structural redundancy in vessel networks
L Li, M Verma, Y Nakashima, H Nagahara, R Kawasaki
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020
3612020
The largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication
TT Ngo, Y Makihara, H Nagahara, Y Mukaigawa, Y Yagi
Pattern Recognition 47 (1), 228-237, 2014
3202014
Flexible depth of field photography
H Nagahara, S Kuthirummal, C Zhou, SK Nayar
European Conference on Computer Vision, 60-73, 2008
2102008
Flexible depth of field photography
S Kuthirummal, H Nagahara, C Zhou, SK Nayar
IEEE transactions on pattern analysis and machine intelligence 33 (1), 58-71, 2010
1832010
Programmable aperture camera using LCoS
H Nagahara, C Zhou, T Watanabe, H Ishiguro, SK Nayar
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
1292010
Similar gait action recognition using an inertial sensor
TT Ngo, Y Makihara, H Nagahara, Y Mukaigawa, Y Yagi
Pattern Recognition 48 (4), 1289-1301, 2015
1232015
Transcut: Transparent object segmentation from a light-field image
Y Xu, H Nagahara, A Shimada, R Taniguchi
Proceedings of the IEEE International Conference on Computer Vision, 3442-3450, 2015
1222015
Light field distortion feature for transparent object recognition
K Maeno, H Nagahara, A Shimada, R Taniguchi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
1222013
Yolo in the dark-domain adaptation method for merging multiple models
Y Sasagawa, H Nagahara
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1142020
Shape and light directions from shading and polarization
T Ngo Thanh, H Nagahara, R Taniguchi
Proceedings of the IEEE conference on computer vision and pattern …, 2015
832015
Evaluation report of integrated background modeling based on spatio-temporal features
Y Nonaka, A Shimada, H Nagahara, R Taniguchi
2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012
712012
Learning to capture light fields through a coded aperture camera
Y Inagaki, Y Kobayashi, K Takahashi, T Fujii, H Nagahara
Proceedings of the European Conference on Computer Vision (ECCV), 418-434, 2018
692018
Imaging system, image data stream creation apparatus, image generation apparatus, image data stream generation apparatus, and image data stream generation system
M Yachida, Y Iwai, H Nagahara, M Yachida
US Patent App. 11/083,006, 2005
662005
Performance evaluation of gait recognition using the largest inertial sensor-based gait database
NT Trung, Y Makihara, H Nagahara, Y Mukaigawa, Y Yagi
2012 5th IAPR International Conference on Biometrics (ICB), 360-366, 2012
582012
WRIME: A new dataset for emotional intensity estimation with subjective and objective annotations
T Kajiwara, C Chu, N Takemura, Y Nakashima, H Nagahara
Proceedings of the 2021 conference of the North American chapter of the …, 2021
542021
Scouter: Slot attention-based classifier for explainable image recognition
L Li, B Wang, M Verma, Y Nakashima, R Kawasaki, H Nagahara
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
532021
Fall detection using optical level anonymous image sensing system
C Ma, A Shimada, H Uchiyama, H Nagahara, R Taniguchi
Optics & Laser Technology 110, 44-61, 2019
522019
Phase registration in a gallery improving gait authentication
NT Trung, Y Makihara, H Nagahara, R Sagawa, Y Mukaigawa, Y Yagi
2011 International Joint Conference on Biometrics (IJCB), 1-7, 2011
522011
Wide field of view head mounted display device
Y Yagi, M Yachida, H Nagahara
US Patent 7,088,516, 2006
512006
Learning bottleneck concepts in image classification
B Wang, L Li, Y Nakashima, H Nagahara
Proceedings of the ieee/cvf conference on computer vision and pattern …, 2023
452023
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20