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2020 – today
- 2024
[j4]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)- [c31]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. CVPR 2024: 28751-28761 - [c30]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:
Genie: Generative Interactive Environments. ICML 2024 - [c29]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: 5397-5403 - [i34]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 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 abs/2402.15391 (2024) - [i33]Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar:
FlexCap: Generating Rich, Localized, and Flexible Captions in Images. CoRR abs/2403.12026 (2024) - [i32]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 abs/2406.09292 (2024) - [i31]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Andrew Zisserman:
OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos. CoRR abs/2407.17085 (2024) - 2023
- [c28]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: 10027-10038 - [c27]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 - [c26]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 - [i30]Mohit Sharma, Claudio Fantacci, Yuxiang Zhou, Skanda Koppula, Nicolas Heess, Jon Scholz, Yusuf Aytar:
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation. CoRR abs/2304.06600 (2023) - [i29]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) - [i28]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 abs/2306.08637 (2023) - [i27]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:
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. CoRR abs/2306.11706 (2023) - [i26]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 abs/2308.15975 (2023) - [i25]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 abs/2312.00598 (2023) - 2022
- [c25]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 - [c24]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 - [c23]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 - [i24]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]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): 187-203 (2021) - [c22]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: 9568-9577 - [c21]Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis:
Manipulator-Independent Representations for Visual Imitation. Robotics: Science and Systems 2021 - [i23]Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell:
Learning rich touch representations through cross-modal self-supervision. CoRR abs/2101.08616 (2021) - [i22]Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis:
Manipulator-Independent Representations for Visual Imitation. CoRR abs/2103.09016 (2021) - [i21]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 abs/2104.14548 (2021) - [i20]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 abs/2112.00597 (2021) - [i19]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 abs/2112.05062 (2021) - 2020
- [c20]Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell:
Learning rich touch representations through cross-modal self-supervision. CoRL 2020: 1415-1425 - [c19]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CVPR 2020: 10384-10393 - [c18]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: 2718-2724 - [c17]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 - [i18]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CoRR abs/2006.15418 (2020) - [i17]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 abs/2011.03530 (2020) - [i16]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 abs/2011.13885 (2020) - [i15]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 abs/2012.06899 (2020)
2010 – 2019
- 2019
- [c16]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Temporal Cycle-Consistency Learning. CVPR 2019: 1801-1810 - [i14]Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman:
Temporal Cycle-Consistency Learning. CoRR abs/1904.07846 (2019) - [i13]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 abs/1909.12200 (2019) - [i12]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 abs/1910.09470 (2019) - 2018
- [j2]Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Cross-Modal Scene Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2303-2314 (2018) - [c15]Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas:
Playing hard exploration games by watching YouTube. NeurIPS 2018: 2935-2945 - [i11]Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas:
Playing hard exploration games by watching YouTube. CoRR abs/1805.11592 (2018) - [i10]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 abs/1810.05017 (2018) - [i9]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 abs/1810.06553 (2018) - 2017
- [c14]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: 3068-3076 - [c13]Mehmet Aygun, Yusuf Aytar, Hazim Kemal Ekenel:
Exploiting Convolution Filter Patterns for Transfer Learning. ICCV Workshops 2017: 2674-2680 - [c12]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: 572-575 - [c11]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: 509-518 - [i8]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 abs/1702.06318 (2017) - [i7]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 abs/1703.03156 (2017) - [i6]Yusuf Aytar, Carl Vondrick, Antonio Torralba:
See, Hear, and Read: Deep Aligned Representations. CoRR abs/1706.00932 (2017) - [i5]Mehmet Aygün, Yusuf Aytar, Hazim Kemal Ekenel:
Exploiting Convolution Filter Patterns for Transfer Learning. CoRR abs/1708.06973 (2017) - 2016
- [c10]Gökhan Özbulak, Yusuf Aytar, Hazim Kemal Ekenel:
How Transferable Are CNN-Based Features for Age and Gender Classification? BIOSIG 2016: 39-50 - [c9]Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CVPR 2016: 2940-2949 - [c8]Yusuf Aytar, Carl Vondrick, Antonio Torralba:
SoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016: 892-900 - [i4]Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CoRR abs/1607.07295 (2016) - [i3]Gökhan Özbulak, Yusuf Aytar, Hazim Kemal Ekenel:
How Transferable are CNN-based Features for Age and Gender Classification? CoRR abs/1610.00134 (2016) - [i2]Yusuf Aytar, Carl Vondrick, Antonio Torralba:
SoundNet: Learning Sound Representations from Unlabeled Video. CoRR abs/1610.09001 (2016) - [i1]Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Cross-Modal Scene Networks. CoRR abs/1610.09003 (2016) - 2015
- [j1]Yusuf Aytar, Andrew Zisserman:
Part level transfer regularization for enhancing exemplar SVMs. Comput. Vis. Image Underst. 138: 114-123 (2015) - 2014
- [b1]Yusuf Aytar:
Transfer learning for object category detection. University of Oxford, UK, 2014 - [c7]Yusuf Aytar, Andrew Zisserman:
Immediate, Scalable Object Category Detection. CVPR 2014: 2385-2392 - [c6]Yusuf Aytar, Andrew Zisserman:
Multi-Task Multi-Sample Learning. ECCV Workshops (3) 2014: 78-91 - 2012
- [c5]Yusuf Aytar, Andrew Zisserman:
Enhancing Exemplar SVMs using Part Level Transfer Regularization. BMVC 2012: 1-11 - 2011
- [c4]Yusuf Aytar, Andrew Zisserman:
Tabula rasa: Model transfer for object category detection. ICCV 2011: 2252-2259
2000 – 2009
- 2008
- [c3]Yusuf Aytar, Mubarak Shah, Jiebo Luo:
Utilizing semantic word similarity measures for video retrieval. CVPR 2008 - 2007
- [c2]Yusuf Aytar, Omer Bilal Orhan, Mubarak Shah:
Improving Semantic Concept Detection and Retrieval using Contextual Estimates. ICME 2007: 536-539 - [c1]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
Coauthor Index
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