Ągata Lapedriza
Title
Cited by
Cited by
Year
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
37872016
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
27992014
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
14772017
Object detectors emerge in deep scene cnns
B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba
arXiv preprint arXiv:1412.6856, 2014
9632014
Places: An image database for deep scene understanding
B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva
arXiv preprint arXiv:1610.02055, 2016
2842016
Emotion recognition in context
R Kosti, JM Alvarez, A Recasens, A Lapedriza
Proceedings of the IEEE conference on computer vision and pattern …, 2017
822017
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
682019
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
682006
Are all training examples equally valuable?
A Lapedriza, H Pirsiavash, Z Bylinskii, A Torralba
arXiv preprint arXiv:1311.6510, 2013
452013
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
432012
Can we do better explanations? A proposal of user-centered explainable AI.
M Ribera, A Lapedriza
IUI Workshops, 2019
392019
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
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
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
292017
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
282020
Boosted online learning for face recognition
D Masip, A Lapedriza, J Vitria
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2008
272008
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
252013
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
232005
Emotion recognition from mid-level features
D Sanchez-Mendoza, D Masip, A Lapedriza
Pattern Recognition Letters 67, 66-74, 2015
202015
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
192019
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