Adrią Recasens
Adrią Recasens
Research Scientist, DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Where should saliency models look next?
Z Bylinskii, A Recasens, A Borji, A Oliva, A Torralba, F Durand
European Conference on Computer Vision, 809-824, 2016
1462016
Where are they looking?
ARC Recasens
Massachusetts Institute of Technology, 2016
1432016
Where are they looking?
A Recasens Continente, A Khosla, C Vondrick, A Torralba
Neural Information Processing Systems Foundation, 2015
143*2015
Jointly discovering visual objects and spoken words from raw sensory input
D Harwath, A Recasens, D Surķs, G Chuang, A Torralba, J Glass
Proceedings of the European conference on computer vision (ECCV), 649-665, 2018
1292018
Emotion recognition in context
R Kosti, JM Alvarez, A Recasens, A Lapedriza
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1012017
Gaze360: Physically unconstrained gaze estimation in the wild
P Kellnhofer, A Recasens, S Stent, W Matusik, A Torralba
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
642019
Learning to zoom: a saliency-based sampling layer for neural networks
A Recasens, P Kellnhofer, S Stent, W Matusik, A Torralba
Proceedings of the European Conference on Computer Vision (ECCV), 51-66, 2018
632018
Self-Supervised MultiModal Versatile Networks.
JB Alayrac, A Recasens, R Schneider, R Arandjelovic, J Ramapuram, ...
NeurIPS 2 (6), 7, 2020
582020
Following gaze in video
A Recasens, C Vondrick, A Khosla, A Torralba
Proceedings of the IEEE International Conference on Computer Vision, 1435-1443, 2017
402017
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
Understanding infographics through textual and visual tag prediction
Z Bylinskii, S Alsheikh, S Madan, A Recasens, K Zhong, H Pfister, ...
arXiv preprint arXiv:1709.09215, 2017
292017
Breaking microsoft’s CAPTCHA
CP Karthik, RA Recasens
Technical report, 2015
182015
Synthetically trained icon proposals for parsing and summarizing infographics
S Madan, Z Bylinskii, M Tancik, A Recasens, K Zhong, S Alsheikh, ...
arXiv preprint arXiv:1807.10441, 2018
122018
EMOTIC: Emotions in Context dataset
R Kosti, JM Alvarez, A Recasens, A Lapedriza
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
122017
Spectral learning of sequence taggers over continuous sequences
A Recasens, A Quattoni
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
112013
Learning Words by Drawing Images
D Suris, A Recasens, D Bau, D Harwath, J Glass, A Torralba
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
82019
Following gaze across views
A Recasens, C Vondrick, A Khosla, A Torralba
arXiv preprint arXiv:1612.03094, 2016
62016
Systems and methods for gaze tracking from arbitrary viewpoints
S Stent, A Recasens, A Torralba, P Kellnhofer, W Matuski
US Patent App. 16/158,831, 2019
52019
Broaden Your Views for Self-Supervised Video Learning
A Recasens, P Luc, JB Alayrac, L Wang, F Strub, C Tallec, M Malinowski, ...
arXiv preprint arXiv:2103.16559, 2021
42021
Game Plan: What AI can do for Football, and What Football can do for AI
K Tuyls, S Omidshafiei, P Muller, Z Wang, J Connor, D Hennes, I Graham, ...
Journal of Artificial Intelligence Research 71, 41-88, 2021
22021
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