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
39802016
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
28432014
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
15462017
Object detectors emerge in deep scene cnns
B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba
arXiv preprint arXiv:1412.6856, 2014
9792014
Places: An image database for deep scene understanding
B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva
arXiv preprint arXiv:1610.02055, 2016
2902016
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
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
692006
Are all training examples equally valuable?
A Lapedriza, H Pirsiavash, Z Bylinskii, A Torralba
arXiv preprint arXiv:1311.6510, 2013
452013
Can we do better explanations? A proposal of user-centered explainable AI.
M Ribera, A Lapedriza
IUI Workshops, 2019
432019
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
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
402020
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
392019
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
312017
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
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
262013
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
242005
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
212019
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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