Yusuf Aytar

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 59

Top Venues

CoRR

CVPR

ICLR

NeurIPS

University of Oxford, UK (PHD)

Education History

University of Oxford, UK

PHD

Publications

Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar
FlexCap: Generating Rich, Localized, and Flexible Captions in Images. CoRR (2024)
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
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. Trans. Mach. Learn. Res. 2024 (2024)
Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. ICRA (2024)
Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. CoRR (2024)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Andrew Zisserman
OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos. CoRR (2024)
Jake Bruce, Michael 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
Genie: Generative Interactive Environments. CoRR (2024)
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, Jose Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. CoRR (2023)
Mohit Sharma, Claudio Fantacci, Yuxiang Zhou, Skanda Koppula, Nicolas Heess, Jon Scholz, Yusuf Aytar
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation. CoRR (2023)
Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. ICCV (2023)
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, Alex Frechette, 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 (2023)
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)
Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. CoRR (2023)
Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. CoRR (2023)
João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
Learning from One Continuous Video Stream. CoRR (2023)
Mohit Sharma, Claudio Fantacci, Yuxiang Zhou, Skanda Koppula, Nicolas Heess, Jon Scholz, Yusuf Aytar
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation. ICLR (2023)
Todor Davchev, Oleg Olegovich Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. ICLR (2022)
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)
Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell
Learning transferable motor skills with hierarchical latent mixture policies. ICLR (2022)
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 (2022)
Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis
Manipulator-Independent Representations for Visual Imitation. CoRR (2021)
Todor Davchev, Oleg Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. CoRR (2021)
Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell
Learning rich touch representations through cross-modal self-supervision. CoRR (2021)
Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies. CoRR (2021)
Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis
Manipulator-Independent Representations for Visual Imitation. Robotics: Science and Systems (2021)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. CoRR (2021)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. ICCV (2021)
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
Scaling data-driven robotics with reward sketching and batch reinforcement learning. Robotics: Science and Systems (2020)
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
Large-scale multilingual audio visual dubbing. CoRR (2020)
Rae Jeong, Yusuf Aytar, David Khosid, Yuxiang Zhou, Jackie Kay, Thomas Lampe, Konstantinos Bousmalis, Francesco Nori
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation. ICRA (2020)
Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Çaglar Gülçehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott E. Reed
Offline Learning from Demonstrations and Unlabeled Experience. CoRR (2020)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CVPR (2020)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CoRR (2020)
Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell
Learning rich touch representations through cross-modal self-supervision. CoRL (2020)
Ksenia Konyushkova, Konrad Zolna, Yusuf Aytar, Alexander Novikov, Scott E. Reed, Serkan Cabi, Nando de Freitas
Semi-supervised reward learning for offline reinforcement learning. CoRR (2020)
Rae Jeong, Yusuf Aytar, David Khosid, Yuxiang Zhou, Jackie Kay, Thomas Lampe, Konstantinos Bousmalis, Francesco Nori
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation. CoRR (2019)
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
A Framework for Data-Driven Robotics. CoRR (2019)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
Temporal Cycle-Consistency Learning. CVPR (2019)
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
Temporal Cycle-Consistency Learning. CoRR (2019)
Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas
Playing hard exploration games by watching YouTube. CoRR (2018)
Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba
Recipe1M: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. CoRR (2018)
Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas
Playing hard exploration games by watching YouTube. NeurIPS (2018)
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
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL. CoRR (2018)
Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
Cross-Modal Scene Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40 (10) (2018)
Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba
Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health. CoRR (2017)
Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba, Ingmar Weber
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media. CoRR (2017)
Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba, Ingmar Weber
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media. ICWSM (2017)
Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba
Is Saki #delicious?: The Food Perception Gap on Instagram and Its Relation to Health. WWW (2017)
Yusuf Aytar, Carl Vondrick, Antonio Torralba
See, Hear, and Read: Deep Aligned Representations. CoRR (2017)
Mehmet Aygun, Yusuf Aytar, Hazim Kemal Ekenel
Exploiting Convolution Filter Patterns for Transfer Learning. ICCV Workshops (2017)
Mehmet Aygün, Yusuf Aytar, Hazim Kemal Ekenel
Exploiting Convolution Filter Patterns for Transfer Learning. CoRR (2017)
Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marín, Ferda Ofli, Ingmar Weber, Antonio Torralba
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. CVPR (2017)
Yusuf Aytar, Carl Vondrick, Antonio Torralba
SoundNet: Learning Sound Representations from Unlabeled Video. NIPS (2016)
Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
Cross-Modal Scene Networks. CoRR (2016)
Yusuf Aytar, Carl Vondrick, Antonio Torralba
SoundNet: Learning Sound Representations from Unlabeled Video. CoRR (2016)
Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CVPR (2016)
Gökhan Özbulak, Yusuf Aytar, Hazim Kemal Ekenel
How Transferable Are CNN-Based Features for Age and Gender Classification? BIOSIG (2016)
Gökhan Özbulak, Yusuf Aytar, Hazim Kemal Ekenel
How Transferable are CNN-based Features for Age and Gender Classification? CoRR (2016)
Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CoRR (2016)
Yusuf Aytar, Andrew Zisserman
Part level transfer regularization for enhancing exemplar SVMs. Comput. Vis. Image Underst. 138 (2015)
Yusuf Aytar, Andrew Zisserman
Immediate, Scalable Object Category Detection. CVPR (2014)
Yusuf Aytar, Andrew Zisserman
Multi-Task Multi-Sample Learning. ECCV Workshops (3) (2014)
Yusuf Aytar, Andrew Zisserman
Enhancing Exemplar SVMs using Part Level Transfer Regularization. BMVC (2012)
Yusuf Aytar, Andrew Zisserman
Tabula rasa: Model transfer for object category detection. ICCV (2011)
Yusuf Aytar, Mubarak Shah, Jiebo Luo
Utilizing semantic word similarity measures for video retrieval. CVPR (2008)
Yusuf Aytar, Omer Bilal Orhan, Mubarak Shah
Improving Semantic Concept Detection and Retrieval using Contextual Estimates. ICME (2007)
Jingen Liu, Yusuf Aytar, Omer Bilal Orhan, Jenny Han, Mubarak Shah
University of Central Florida at TRECVID 2007 Semantic Video Classification and Automatic Search. TRECVID (2007)

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Publication Activity (10 Years)

Top Topics

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Yusuf Aytar