2 code implementations • 22 Feb 2022 • Joao Carreira, Skanda Koppula, Daniel Zoran, Adria Recasens, Catalin Ionescu, Olivier Henaff, Evan Shelhamer, Relja Arandjelovic, Matt Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
This however hinders them from scaling up to the inputs sizes required to process raw high-resolution images or video.
no code implementations • 9 Feb 2021 • Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adria Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back
Fine-grained estimation of galaxy merger stages from observations is a key problem useful for validation of our current theoretical understanding of galaxy formation.
1 code implementation • 18 Nov 2020 • Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adria Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Perolat, Bart De Vylder, Ali Eslami, Mark Rowland, Andrew Jaegle, Remi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
The rapid progress in artificial intelligence (AI) and machine learning has opened unprecedented analytics possibilities in various team and individual sports, including baseball, basketball, and tennis.
3 code implementations • 30 Mar 2020 • Ronak Kosti, Jose M. Alvarez, Adria Recasens, Agata Lapedriza
In this paper we present EMOTIC, a dataset of images of people in a diverse set of natural situations, annotated with their apparent emotion.
Ranked #4 on Emotion Recognition in Context on EMOTIC (using extra training data)
1 code implementation • ICCV 2019 • Petr Kellnhofer, Adria Recasens, Simon Stent, Wojciech Matusik, Antonio Torralba
Finally, we demonstrate an application of our model for estimating customer attention in a supermarket setting.
Ranked #4 on Gaze Estimation on Gaze360
no code implementations • ICCV 2017 • Adria Recasens, Carl Vondrick, Aditya Khosla, Antonio Torralba
In this paper, we present an approach for following gaze in video by predicting where a person (in the video) is looking even when the object is in a different frame.
1 code implementation • 26 Sep 2017 • Zoya Bylinskii, Sami Alsheikh, Spandan Madan, Adria Recasens, Kimberli Zhong, Hanspeter Pfister, Fredo Durand, Aude Oliva
And second, we use these predicted text tags as a supervisory signal to localize the most diagnostic visual elements from within the infographic i. e. visual hashtags.
no code implementations • CVPR 2017 • Ronak Kosti, Jose M. Alvarez, Adria Recasens, Agata Lapedriza
In this paper we present the Emotions in Context Database (EMCO), a dataset of images containing people in context in non-controlled environments.
no code implementations • NeurIPS 2015 • Adria Recasens, Aditya Khosla, Carl Vondrick, Antonio Torralba
Humans have the remarkable ability to follow the gaze of other people to identify what they are looking at.