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Adrià Recasens
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2020 – today
- 2023
- [c17]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:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS 2023 - [i18]Adrià Recasens, Jason Lin, João Carreira, Andrew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman:
Zorro: the masked multimodal transformer. CoRR abs/2301.09595 (2023) - [i17]Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, 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:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR abs/2305.13786 (2023) - [i16]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:
TacticAI: an AI assistant for football tactics. CoRR abs/2310.10553 (2023) - 2022
- [c16]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:
Towards Learning Universal Audio Representations. ICASSP 2022: 4593-4597 - [c15]Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang:
TAP-Vid: A Benchmark for Tracking Any Point in a Video. NeurIPS 2022 - [i15]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:
Hierarchical Perceiver. CoRR abs/2202.10890 (2022) - [i14]Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang:
TAP-Vid: A Benchmark for Tracking Any Point in a Video. CoRR abs/2211.03726 (2022) - 2021
- [j3]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:
Game Plan: What AI can do for Football, and What Football can do for AI. J. Artif. Intell. Res. 71: 41-88 (2021) - [c14]Spandan Madan, Zoya Bylinskii, Carolina Nobre, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Aude Oliva, Frédo Durand, Hanspeter Pfister
:
Parsing and Summarizing Infographics with Synthetically Trained Icon Detection. PacificVis 2021: 31-40 - [c13]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:
Broaden Your Views for Self-Supervised Video Learning. ICCV 2021: 1235-1245 - [i13]Skanda Koppula, Victor Bapst, Marc Huertas-Company
A Deep Learning Approach for Characterizing Major Galaxy Mergers. CoRR abs/2102.05182 (2021) - [i12]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:
Broaden Your Views for Self-Supervised Video Learning. CoRR abs/2103.16559 (2021) - [i11]Luyu Wang, Pauline Luc, Adrià Recasens, Jean-Baptiste Alayrac, Aäron van den Oord:
Multimodal Self-Supervised Learning of General Audio Representations. CoRR abs/2104.12807 (2021) - [i10]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:
Towards Learning Universal Audio Representations. CoRR abs/2111.12124 (2021) - 2020
- [j2]David Harwath
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input. Int. J. Comput. Vis. 128(3): 620-641 (2020) - [j1]Ronak Kosti
Context Based Emotion Recognition Using EMOTIC Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2755-2766 (2020) - [c12]Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman:
Self-Supervised MultiModal Versatile Networks. NeurIPS 2020 - [i9]Ronak Kosti, José M. Álvarez, Adrià Recasens, Àgata Lapedriza:
Context Based Emotion Recognition using EMOTIC Dataset. CoRR abs/2003.13401 (2020) - [i8]Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman:
Self-Supervised MultiModal Versatile Networks. CoRR abs/2006.16228 (2020) - [i7]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:
Game Plan: What AI can do for Football, and What Football can do for AI. CoRR abs/2011.09192 (2020)
2010 – 2019
- 2019
- [c11]Didac Suris, Adrià Recasens, David Bau
Learning Words by Drawing Images. CVPR 2019: 2029-2038 - [c10]Petr Kellnhofer, Adrià Recasens, Simon Stent, Wojciech Matusik, Antonio Torralba:
Gaze360: Physically Unconstrained Gaze Estimation in the Wild. ICCV 2019: 6911-6920 - [i6]Petr Kellnhofer, Adrià Recasens, Simon Stent, Wojciech Matusik, Antonio Torralba:
Gaze360: Physically Unconstrained Gaze Estimation in the Wild. CoRR abs/1910.10088 (2019) - 2018
- [c9]Adrià Recasens, Petr Kellnhofer, Simon Stent, Wojciech Matusik, Antonio Torralba:
Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks. ECCV (9) 2018: 52-67 - [c8]David Harwath, Adrià Recasens, Dídac Surís, Galen Chuang, Antonio Torralba, James R. Glass:
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input. ECCV (6) 2018: 659-677 - [i5]David Harwath, Adrià Recasens, Dídac Surís, Galen Chuang, Antonio Torralba, James R. Glass:
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input. CoRR abs/1804.01452 (2018) - [i4]Spandan Madan, Zoya Bylinskii, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Hanspeter Pfister, Aude Oliva, Frédo Durand:
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics. CoRR abs/1807.10441 (2018) - [i3]Adrià Recasens, Petr Kellnhofer, Simon Stent, Wojciech Matusik, Antonio Torralba:
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks. CoRR abs/1809.03355 (2018) - 2017
- [c7]Ronak Kosti
Emotion Recognition in Context. CVPR 2017: 1960-1968 - [c6]Ronak Kosti
EMOTIC: Emotions in Context Dataset. CVPR Workshops 2017: 2309-2317 - [c5]Adrià Recasens, Carl Vondrick, Aditya Khosla, Antonio Torralba:
Following Gaze in Video. ICCV 2017: 1444-1452 - [i2]Zoya Bylinskii, Sami Alsheikh, Spandan Madan, Adrià Recasens, Kimberli Zhong, Hanspeter Pfister, Frédo Durand, Aude Oliva:
Understanding Infographics through Textual and Visual Tag Prediction. CoRR abs/1709.09215 (2017) - 2016
- [c4]Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand:
Where Should Saliency Models Look Next? ECCV (5) 2016: 809-824 - [i1]Adrià Recasens, Carl Vondrick, Aditya Khosla, Antonio Torralba:
Following Gaze Across Views. CoRR abs/1612.03094 (2016) - 2015
- [c3]Adrià Recasens, Aditya Khosla, Carl Vondrick, Antonio Torralba:
Where are they looking? NIPS 2015: 199-207 - 2014
- [c2]Sotirios Kotsopoulos, Federico Casalegno, Adrià Recasens, Wesley Graybill:
Developing a RESTful communication protocol and an energy optimization algorithm for a connected sustainable home. Urb-IoT 2014: 62-67 - 2013
- [c1]Adrià Recasens, Ariadna Quattoni:
Spectral Learning of Sequence Taggers over Continuous Sequences. ECML/PKDD (1) 2013: 289-304
Coauthor Index
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