Ągata Lapedriza
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Learning deep features for discriminative localization
B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba
Proceedings of the IEEE conference on computer vision and pattern …, 2016
46832016
Learning deep features for scene recognition using places database
B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva
Neural Information Processing Systems Foundation, 2014
29572014
Places: A 10 million image database for scene recognition
B Zhou, A Lapedriza, A Khosla, A Oliva, A Torralba
IEEE transactions on pattern analysis and machine intelligence 40 (6), 1452-1464, 2017
18302017
Object detectors emerge in deep scene cnns
B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba
arXiv preprint arXiv:1412.6856, 2014
10402014
Places: An image database for deep scene understanding
B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva
arXiv preprint arXiv:1610.02055, 2016
2992016
Emotion recognition in context
R Kosti, JM Alvarez, A Recasens, A Lapedriza
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1012017
Way off-policy batch deep reinforcement learning of implicit human preferences in dialog
N Jaques, A Ghandeharioun, JH Shen, C Ferguson, A Lapedriza, ...
arXiv preprint arXiv:1907.00456, 2019
972019
Understanding the role of individual units in a deep neural network
D Bau, JY Zhu, H Strobelt, A Lapedriza, B Zhou, A Torralba
Proceedings of the National Academy of Sciences 117 (48), 30071-30078, 2020
722020
Can we do better explanations? A proposal of user-centered explainable AI.
M Ribera, A Lapedriza
IUI Workshops 2327, 38, 2019
722019
Gender recognition in non controlled environments
A Lapedriza, MJ Marķn-Jiménez, J Vitria
18th International Conference on Pattern Recognition (ICPR'06) 3, 834-837, 2006
672006
Depth information in human gait analysis: an experimental study on gender recognition
R Borrąs, Ą Lapedriza, L Igual
International Conference Image Analysis and Recognition, 98-105, 2012
472012
Approximating interactive human evaluation with self-play for open-domain dialog systems
A Ghandeharioun, JH Shen, N Jaques, C Ferguson, N Jones, ...
arXiv preprint arXiv:1906.09308, 2019
452019
Are all training examples equally valuable?
A Lapedriza, H Pirsiavash, Z Bylinskii, A Torralba
arXiv preprint arXiv:1311.6510, 2013
452013
Interpreting cnn models for apparent personality trait regression
C Ventura, D Masip, A Lapedriza
Proceedings of the IEEE conference on computer vision and pattern …, 2017
392017
Context based emotion recognition using emotic dataset
R Kosti, JM Alvarez, A Recasens, A Lapedriza
IEEE transactions on pattern analysis and machine intelligence 42 (11), 2755 …, 2019
342019
Preferred spatial frequencies for human face processing are associated with optimal class discrimination in the machine
MS Keil, A Lapedriza, D Masip, J Vitria
PloS one 3 (7), e2590, 2008
302008
Boosted online learning for face recognition
D Masip, A Lapedriza, J Vitria
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2008
292008
Robust gait-based gender classification using depth cameras
L Igual, A Lapedriza, R Borras
EURASIP Journal on Image and Video Processing 2013 (1), 1-11, 2013
272013
Are external face features useful for automatic face classification?
A Lapedriza, D Masip, J Vitria
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
252005
Emotion recognition from mid-level features
D Sanchez-Mendoza, D Masip, A Lapedriza
Pattern Recognition Letters 67, 66-74, 2015
212015
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Artikelen 1–20