Spectral Learning of Sequence Taggers over Continuous Sequences. - Adrià Recasens; Ariadna Quattoni (ECML/PKDD (1), 2013)

Developing a RESTful communication protocol and an energy optimization algorithm for a connected sustainable home. - Sotirios Kotsopoulos; Federico Casalegno; Adrià Recasens; Wesley Graybill (Urb-IoT, 2014)

Where are they looking? - Adrià Recasens; Aditya Khosla; Carl Vondrick; Antonio Torralba 001 (NIPS, 2015)

Where Should Saliency Models Look Next? - Zoya Bylinskii; Adrià Recasens; Ali Borji; Aude Oliva; Antonio Torralba 001; Frédo Durand (ECCV (5), 2016)

Following Gaze Across Views. - Adrià Recasens; Carl Vondrick; Aditya Khosla; Antonio Torralba 001 (CoRR, 2016)

EMOTIC: Emotions in Context Dataset. - Ronak Kosti; José M. Álvarez 004; Adrià Recasens; Àgata Lapedriza (CVPR Workshops, 2017)

Emotion Recognition in Context. - Ronak Kosti; José M. Álvarez 004; Adrià Recasens; Àgata Lapedriza (CVPR, 2017)

Following Gaze in Video. - Adrià Recasens; Carl Vondrick; Aditya Khosla; Antonio Torralba 001 (ICCV, 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)

Learning to Zoom: A Saliency-Based Sampling Layer for Neural Networks. - Adrià Recasens; Petr Kellnhofer; Simon Stent; Wojciech Matusik; Antonio Torralba 001 (ECCV (9), 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 Words by Drawing Images. - Didac Suris; Adrià Recasens; David Bau; David Harwath; James R. Glass; Antonio Torralba 001 (CVPR, 2019)

Gaze360: Physically Unconstrained Gaze Estimation in the Wild. - Petr Kellnhofer; Adrià Recasens; Simon Stent; Wojciech Matusik; Antonio Torralba 001 (ICCV, 2019)

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 (NeurIPS, 2020)

Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input. - David Harwath; Adrià Recasens; Dídac Surís; Galen Chuang; Antonio Torralba 001; James R. Glass (Int. J. Comput. Vis., 2020)

Context Based Emotion Recognition Using EMOTIC Dataset. - Ronak Kosti; José M. Álvarez 004; Adrià Recasens; Àgata Lapedriza (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

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 (PacificVis, 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; et al. (ICCV, 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; et al. (CoRR, 2021)

Multimodal Self-Supervised Learning of General Audio Representations. - Luyu Wang; Pauline Luc; Adrià Recasens; Jean-Baptiste Alayrac; Aäron van den Oord (CoRR, 2021)

Game Plan: What AI can do for Football, and What Football can do for AI. - Karl Tuyls; Shayegan Omidshafiei; Paul Muller; Zhe Wang 055; Jerome T. Connor; Daniel Hennes; Ian Graham; William Spearman; Tim Waskett; Dafydd Steele; Pauline Luc; Adrià Recasens; et al. (J. Artif. Intell. Res., 2021)

Towards Learning Universal Audio Representations. - Luyu Wang; Pauline Luc; Yan Wu 010; Adrià Recasens; Lucas Smaira; Andrew Brock; Andrew Jaegle; Jean-Baptiste Alayrac; Sander Dieleman; João Carreira 001; Aäron van den Oord (ICASSP, 2022)

TAP-Vid: A Benchmark for Tracking Any Point in a Video. - Carl Doersch; Ankush Gupta 001; Larisa Markeeva; Adrià Recasens; Lucas Smaira; Yusuf Aytar; João Carreira 001; Andrew Zisserman; Yi Yang 007 (NeurIPS, 2022)

Hierarchical Perceiver. - João Carreira 001; Skanda Koppula; Daniel Zoran; Adrià Recasens; Catalin Ionescu; Olivier J. Hénaff; Evan Shelhamer; Relja Arandjelovic; Matthew M. Botvinick; Oriol Vinyals; Karen Simonyan; Andrew Zisserman; et al. (CoRR, 2022)

Perception Test: A Diagnostic Benchmark for Multimodal Video Models. - Viorica Patraucean; Lucas Smaira; Ankush Gupta 001; Adrià Recasens; Larisa Markeeva; Dylan Banarse; Skanda Koppula; Joseph Heyward; Mateusz Malinowski; Yi Yang 007; Carl Doersch; Tatiana Matejovicova; et al. (NeurIPS, 2023)

Zorro: the masked multimodal transformer. - Adrià Recasens; Jason Lin; João Carreira 001; Andrew Jaegle; Luyu Wang; Jean-Baptiste Alayrac; Pauline Luc; Antoine Miech; Lucas Smaira; Ross Hemsley; Andrew Zisserman (CoRR, 2023)

TacticAI: an AI assistant for football tactics. - Zhe Wang 055; Petar Velickovic; Daniel Hennes; Nenad Tomasev; Laurel Prince; Michael Kaisers; Yoram Bachrach; Romuald Elie; Li Kevin Wenliang; Federico Piccinini; William Spearman; Ian Graham; et al. (CoRR, 2023)