Maki Atsuto
Maki Atsuto
確認したメール アドレス: kth.se - ホームページ
タイトル引用先
Factors of transferability for a generic convnet representation
H Azizpour, AS Razavian, J Sullivan, A Maki, S Carlsson
IEEE transactions on pattern analysis and machine intelligence 38 (9), 1790-1802, 2016
375*2016
[Paper] Visual Instance Retrieval with Deep Convolutional Networks
AS Razavian, J Sullivan, S Carlsson, A Maki
ITE Transactions on Media Technology and Applications 4 (3), 251-258, 2016
2032016
Attentional scene segmentation: integrating depth and motion
A Maki, P Nordlund, JO Eklundh
Computer Vision and Image Understanding 78 (3), 351-373, 2000
165*2000
A systematic study of the class imbalance problem in convolutional neural networks
M Buda, A Maki, MA Mazurowski
Neural Networks 106, 249-259, 2018
1422018
Image processing apparatus and image processing method
A Maki, M Watanabe, N Matsuda, C Wiles
US Patent 6,072,903, 2000
1282000
Factors of transferability for a generic convnet representation
H Azizpour, AS Razavian, J Sullivan, A Maki, S Carlsson
IEEE transactions on pattern analysis and machine intelligence 38 (9), 1790-1802, 2016
1232016
Towards a simulation driven stereo vision system
M Peris, A Maki, S Martull, Y Ohkawa, K Fukui
21st International Conference on Pattern Recognition, 2012
942012
Attentional scene segmentation: integrating depth and motion
A Maki, P Nordlund, JO Eklundh
Computer Vision and Image Understanding 78 (3), 351-373, 2000
932000
Developing an active observer
JO Eklundh, T Uhlin, P Nordlund, A Maki
Recent Developments in Computer Vision, 181-190, 1996
86*1996
Geotensity: Combining motion and lighting for 3d surface reconstruction
A Maki, M Watanabe, C Wiles
International Journal of Computer Vision 48 (2), 75-90, 2002
73*2002
Demisting the Hough transform for 3D shape recognition and registration
OJ Woodford, MT Pham, A Maki, F Perbet, B Stenger
International Journal of Computer Vision 106 (3), 332-341, 2014
722014
Demisting the Hough Transform
OJ Woodford, MT Pham, A Maki, F Perbet, B Stenger
72*
Difference sphere: an approach to near light source estimation
T Takai, A Maki, K Niinuma, T Matsuyama
Computer Vision and Image Understanding 113 (9), 966-978, 2009
682009
The multiple-camera 3-d production studio
J Starck, A Maki, S Nobuhara, A Hilton, T Matsuyama
IEEE Transactions on circuits and systems for video technology 19 (6), 856-869, 2009
632009
Hyperpatches for 3d model acquisition and tracking
CS Wiles, A Maki, N Matsuda
IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (12), 1391 …, 2001
58*2001
A new distance for scale-invariant 3D shape recognition and registration
MT Pham, OJ Woodford, F Perbet, A Maki, B Stenger, R Cipolla
Proceedings of ICCV, 2011
442011
Artificial intelligence for analyzing orthopedic trauma radiographs: deep learning algorithms—are they on par with humans for diagnosing fractures?
J Olczak, N Fahlberg, A Maki, AS Razavian, A Jilert, A Stark, ...
Acta orthopaedica 88 (6), 581-586, 2017
412017
Deep predictive policy training using reinforcement learning
A Ghadirzadeh, A Maki, D Kragic, M Björkman
Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International …, 2017
332017
Stereo without depth search and metric calibration
H Hattori, A Maki
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference …, 2000
302000
Difference subspace and its generalization for subspace-based methods
K Fukui, A Maki
IEEE transactions on pattern analysis and machine intelligence 37 (11), 2164 …, 2015
282015
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