Yusuf Aytar

According to our database, Yusuf Aytar authored at least 46 papers between 2007 and 2024.

Collaborative distances:

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

2024

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation.

Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X. Lee, Maria Bauzá Villalonga, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo Fernandes Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess

Trans. Mach. Learn. Res., 2024

OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos.

Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Andrew Zisserman

CoRR, 2024

Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models.

Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf

CoRR, 2024

FlexCap: Generating Rich, Localized, and Flexible Captions in Images.

Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar

CoRR, 2024

RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation.

Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Genie: Generative Interactive Environments.

Jake Bruce, Michael D. Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning from One Continuous Video Stream.

João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.

Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess

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

Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation.

Mohit Sharma, Claudio Fantacci, Yuxiang Zhou, Skanda Koppula, Nicolas Heess, Jon Scholz, Yusuf Aytar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement.

Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Learning transferable motor skills with hierarchical latent mixture policies.

Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell

Proceedings of the Tenth International Conference on Learning Representations, 2022

Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation.

Todor Davchev, Oleg Olegovich Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images.

Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Manipulator-Independent Representations for Visual Imitation.

Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations.

Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman

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

2020

Semi-supervised reward learning for offline reinforcement learning.

Ksenia Konyushkova, Konrad Zolna, Yusuf Aytar, Alexander Novikov, Scott E. Reed, Serkan Cabi, Nando de Freitas

CoRR, 2020

Offline Learning from Demonstrations and Unlabeled Experience.

Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Çaglar Gülçehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott E. Reed

CoRR, 2020

Large-scale multilingual audio visual dubbing.

Yi Yang, Brendan Shillingford, Yannis M. Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, Nando de Freitas

CoRR, 2020

Scaling data-driven robotics with reward sketching and batch reinforcement learning.

Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang

Proceedings of the Robotics: Science and Systems XVI, 2020

Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation.

Rae Jeong, Yusuf Aytar, David Khosid, Yuxiang Zhou, Jackie Kay, Thomas Lampe, Konstantinos Bousmalis, Francesco Nori

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Counting Out Time: Class Agnostic Video Repetition Counting in the Wild.

Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning rich touch representations through cross-modal self-supervision.

Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell

Proceedings of the 4th Conference on Robot Learning, 2020

2019

A Framework for Data-Driven Robotics.

Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang

CoRR, 2019

Temporal Cycle-Consistency Learning.

Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman

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

2018

Cross-Modal Scene Networks.

Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

IEEE Trans. Pattern Anal. Mach. Intell., 2018

One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL.

Tom Le Paine, Sergio Gomez Colmenarejo, Ziyu Wang, Scott E. Reed, Yusuf Aytar, Tobias Pfaff, Matthew W. Hoffman, Gabriel Barth-Maron, Serkan Cabi, David Budden, Nando de Freitas

CoRR, 2018

Playing hard exploration games by watching YouTube.

Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

See, Hear, and Read: Deep Aligned Representations.

Yusuf Aytar, Carl Vondrick, Antonio Torralba

CoRR, 2017

Is Saki #delicious?: The Food Perception Gap on Instagram and Its Relation to Health.

Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba

Proceedings of the 26th International Conference on World Wide Web, 2017

Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media.

Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba, Ingmar Weber

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Exploiting Convolution Filter Patterns for Transfer Learning.

Mehmet Aygun, Yusuf Aytar, Hazim Kemal Ekenel

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Learning Cross-Modal Embeddings for Cooking Recipes and Food Images.

Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marín, Ferda Ofli, Ingmar Weber, Antonio Torralba

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

2016

SoundNet: Learning Sound Representations from Unlabeled Video.

Yusuf Aytar, Carl Vondrick, Antonio Torralba

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Aligned Cross-Modal Representations from Weakly Aligned Data.

Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

How Transferable Are CNN-Based Features for Age and Gender Classification?

Gökhan Özbulak, Yusuf Aytar, Hazim Kemal Ekenel

Proceedings of the 2016 International Conference of the Biometrics Special Interest Group, 2016

2015

Part level transfer regularization for enhancing exemplar SVMs.

Yusuf Aytar, Andrew Zisserman

Comput. Vis. Image Underst., 2015

2014

Transfer learning for object category detection.

Yusuf Aytar

PhD thesis, 2014

Multi-Task Multi-Sample Learning.

Yusuf Aytar, Andrew Zisserman

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Immediate, Scalable Object Category Detection.

Yusuf Aytar, Andrew Zisserman

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012

Enhancing Exemplar SVMs using Part Level Transfer Regularization.

Yusuf Aytar, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2012

2011

Tabula rasa: Model transfer for object category detection.

Yusuf Aytar, Andrew Zisserman

Proceedings of the IEEE International Conference on Computer Vision, 2011

2008

Utilizing semantic word similarity measures for video retrieval.

Yusuf Aytar, Mubarak Shah, Jiebo Luo

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

University of Central Florida at TRECVID 2007 Semantic Video Classification and Automatic Search.

Jingen Liu, Yusuf Aytar, Omer Bilal Orhan, Jenny Han, Mubarak Shah

Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007

Improving Semantic Concept Detection and Retrieval using Contextual Estimates.

Yusuf Aytar, Omer Bilal Orhan, Mubarak Shah

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007