Adrià Recasens

According to our database, Adrià Recasens authored at least 27 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

TacticAI: an AI assistant for football tactics.

Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls

CoRR, 2023

Zorro: the masked multimodal transformer.

Adrià Recasens, Jason Lin, João Carreira, Andrew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman

CoRR, 2023

Perception Test: A Diagnostic Benchmark for Multimodal Video Models.

Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Hierarchical Perceiver.

João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle

CoRR, 2022

TAP-Vid: A Benchmark for Tracking Any Point in a Video.

Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Learning Universal Audio Representations.

Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Game Plan: What AI can do for Football, and What Football can do for AI.

Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis

J. Artif. Intell. Res., 2021

Multimodal Self-Supervised Learning of General Audio Representations.

Luyu Wang, Pauline Luc, Adrià Recasens, Jean-Baptiste Alayrac, Aäron van den Oord

CoRR, 2021

A Deep Learning Approach for Characterizing Major Galaxy Mergers.

Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adrià Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back

CoRR, 2021

Broaden Your Views for Self-Supervised Video Learning.

Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Parsing and Summarizing Infographics with Synthetically Trained Icon Detection.

Spandan Madan, Zoya Bylinskii, Carolina Nobre, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Aude Oliva, Frédo Durand, Hanspeter Pfister

Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020

Context Based Emotion Recognition Using EMOTIC Dataset.

Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input.

David Harwath, Adrià Recasens, Dídac Surís, Galen Chuang, Antonio Torralba, James R. Glass

Int. J. Comput. Vis., 2020

Self-Supervised MultiModal Versatile Networks.

Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Gaze360: Physically Unconstrained Gaze Estimation in the Wild.

Petr Kellnhofer, Adrià Recasens, Simon Stent, Wojciech Matusik, Antonio Torralba

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Words by Drawing Images.

Didac Suris, Adrià Recasens, David Bau, David Harwath, James R. Glass, Antonio Torralba

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics.

Spandan Madan, Zoya Bylinskii, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Hanspeter Pfister, Aude Oliva, Frédo Durand

CoRR, 2018

Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks.

Adrià Recasens, Petr Kellnhofer, Simon Stent, Wojciech Matusik, Antonio Torralba

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Understanding Infographics through Textual and Visual Tag Prediction.

Zoya Bylinskii, Sami Alsheikh, Spandan Madan, Adrià Recasens, Kimberli Zhong, Hanspeter Pfister, Frédo Durand, Aude Oliva

CoRR, 2017

Following Gaze in Video.

Adrià Recasens, Carl Vondrick, Aditya Khosla, Antonio Torralba

Proceedings of the IEEE International Conference on Computer Vision, 2017

Emotion Recognition in Context.

Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

EMOTIC: Emotions in Context Dataset.

Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Following Gaze Across Views.

Adrià Recasens, Carl Vondrick, Aditya Khosla, Antonio Torralba

CoRR, 2016

Where Should Saliency Models Look Next?

Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Where are they looking?

Adrià Recasens, Aditya Khosla, Carl Vondrick, Antonio Torralba

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Developing a RESTful communication protocol and an energy optimization algorithm for a connected sustainable home.

Sotirios Kotsopoulos, Federico Casalegno, Adrià Recasens, Wesley Graybill

Proceedings of the First International Conference on IoT in Urban Space, 2014

2013

Spectral Learning of Sequence Taggers over Continuous Sequences.

Adrià Recasens, Ariadna Quattoni

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013