Hironobu Fujiyoshi
Hironobu Fujiyoshi
Professor, Chubu University
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Moving target classification and tracking from real-time video
AJ Lipton, H Fujiyoshi, RS Patil
Proceedings fourth IEEE workshop on applications of computer vision. WACV'98 …, 1998
A system for video surveillance and monitoring
RT Collins, AJ Lipton, T Kanade, H Fujiyoshi, D Duggins, Y Tsin, ...
VSAM final report 2000 (1-68), 1, 2000
Algorithms for cooperative multisensor surveillance
RT Collins, AJ Lipton, H Fujiyoshi, T Kanade
Proceedings of the IEEE 89 (10), 1456-1477, 2001
Real-time human motion analysis by image skeletonization
H Fujiyoshi, AJ Lipton, T Kanade
IEICE TRANSACTIONS on Information and Systems 87 (1), 113-120, 2004
Attention branch network: Learning of attention mechanism for visual explanation
H Fukui, T Hirakawa, T Yamashita, H Fujiyoshi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
A system for video surveillance and monitoring: VSAM final report
R Collins, A Lipton, T Kanade, H Fujiyoshi, D Duggins, Y Tsin, D Tolliver, ...
Technical report CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University, 2000
Deep learning-based image recognition for autonomous driving
H Fujiyoshi, T Hirakawa, T Yamashita
IATSS research 43 (4), 244-252, 2019
Real-time human detection using relational depth similarity features
S Ikemura, H Fujiyoshi
Computer Vision–ACCV 2010: 10th Asian Conference on Computer Vision …, 2011
Boosted random forest
Y Mishina, R Murata, Y Yamauchi, T Yamashita, H Fujiyoshi
IEICE TRANSACTIONS on Information and Systems 98 (9), 1630-1636, 2015
Embedding human knowledge into deep neural network via attention map
M Mitsuhara, H Fukui, Y Sakashita, T Ogata, T Hirakawa, T Yamashita, ...
arXiv preprint arXiv:1905.03540, 2019
Pedestrian detection based on deep convolutional neural network with ensemble inference network
H Fukui, T Yamashita, Y Yamauchi, H Fujiyoshi, H Murase
2015 IEEE Intelligent Vehicles Symposium (IV), 223-228, 2015
Gradient-based feature extraction-SIFT and HOG
H Fujiyoshi
Computer 107 (206), 211-224, 2007
Object detection device
H Fujiyoshi
US Patent 8,611,604, 2013
Virtual camerawork for generating lecture video from high resolution images
T Yokoi, H Fujiyoshi
2005 IEEE International Conference on Multimedia and Expo, 4 pp., 2005
Visual explanation by attention branch network for end-to-end learning-based self-driving
K Mori, H Fukui, T Murase, T Hirakawa, T Yamashita, H Fujiyoshi
2019 IEEE intelligent vehicles symposium (IV), 1577-1582, 2019
People detection based on co-occurrence of appearance and spatiotemporal features
Y Yamauchi, H Fujiyoshi, BW Hwang, T Kanade
2008 19th International Conference on Pattern Recognition, 1-4, 2008
Evaluating feature importance for object classification in visual surveillance
M Tsuchiya, H Fujiyoshi
18th International Conference on Pattern Recognition (ICPR'06) 2, 978-981, 2006
Can AI predict animal movements? Filling gaps in animal trajectories using inverse reinforcement learning
T Hirakawa, T Yamashita, T Tamaki, H Fujiyoshi, Y Umezu, I Takeuchi, ...
Ecosphere 9 (10), e02447, 2018
Survey on vision-based path prediction
T Hirakawa, T Yamashita, T Tamaki, H Fujiyoshi
Distributed, Ambient and Pervasive Interactions: Technologies and Contexts …, 2018
Layered detection for multiple overlapping objects
H Fujiyoshi, T Kanade
IEICE Transactions on Information and systems 87 (12), 2821-2827, 2004
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20