Yusuf Aytar - RankMe

75 papers A* 23A 3Misc 1Journal 40Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Motion Prompting: Controlling Video Generation with Motion Trajectories. CVPR Daniel Geng, Charles Herrmann, Junhwa Hur, Forrester Cole, Serena Zhang, Tobias Pfaff, Tatiana Lopez-Guevara, Yusuf Aytar, Michael Rubinstein, Chen Sun, Oliver Wang, Andrew Owens, Deqing Sun
2024	J	`jnl`	A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos. CoRR Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2024	A*	`conf`	FlexCap: Describe Anything in Images in Controllable Detail. NeurIPS Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar
2024	J	`jnl`	FlexCap: Generating Rich, Localized, and Flexible Captions in Images. CoRR Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar
2024	A*	`conf`	Genie: Generative Interactive Environments. ICML 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
2024	J	`jnl`	Genie: Generative Interactive Environments. CoRR 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
2024	A*	`conf`	Learning from One Continuous Video Stream. CVPR João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2024	J	`jnl`	Motion Prompting: Controlling Video Generation with Motion Trajectories. CoRR Daniel Geng, Charles Herrmann, Junhwa Hur, Forrester Cole, Serena Zhang, Tobias Pfaff, Tatiana Lopez-Guevara, Carl Doersch, Yusuf Aytar, Michael Rubinstein, Chen Sun, Oliver Wang, Andrew Owens, Deqing Sun
2024	A*	`conf`	Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. NeurIPS Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
2024	J	`jnl`	Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. CoRR Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
2024	J	`jnl`	OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos. CoRR Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Andrew Zisserman
2024	J	`jnl`	RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. Trans. Mach. Learn. Res. 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
2024	A*	`conf`	RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. ICRA Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
2023	J	`jnl`	Learning from One Continuous Video Stream. CoRR João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang, Daniel Zoran, Joseph Heyward, Carl Doersch, Yusuf Aytar, Dima Damen, Andrew Zisserman
2023	A*	`conf`	Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation. ICLR Mohit Sharma, Claudio Fantacci, Yuxiang Zhou, Skanda Koppula, Nicolas Heess, Jon Scholz, Yusuf Aytar
2023	J	`jnl`	Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation. CoRR Mohit Sharma, Claudio Fantacci, Yuxiang Zhou, Skanda Koppula, Nicolas Heess, Jon Scholz, Yusuf Aytar
2023	A*	`conf`	Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS 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
2023	J	`jnl`	Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR 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
2023	J	`jnl`	RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. CoRR 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
2023	J	`jnl`	RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. CoRR Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz
2023	A*	`conf`	TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. ICCV Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
2023	J	`jnl`	TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. CoRR Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman
2022	A*	`conf`	Learning transferable motor skills with hierarchical latent mixture policies. ICLR Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell
2022	A*	`conf`	TAP-Vid: A Benchmark for Tracking Any Point in a Video. NeurIPS Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang
2022	J	`jnl`	TAP-Vid: A Benchmark for Tracking Any Point in a Video. CoRR Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang
2022	A*	`conf`	Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. ICLR Todor Davchev, Oleg Olegovich Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz
2021	J	`jnl`	Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies. CoRR Dushyant Rao, Fereshteh Sadeghi, Leonard Hasenclever, Markus Wulfmeier, Martina Zambelli, Giulia Vezzani, Dhruva Tirumala, Yusuf Aytar, Josh Merel, Nicolas Heess, Raia Hadsell
2021	J	`jnl`	Learning rich touch representations through cross-modal self-supervision. CoRR Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell
2021	—	`conf`	Manipulator-Independent Representations for Visual Imitation. Robotics: Science and Systems Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis
2021	J	`jnl`	Manipulator-Independent Representations for Visual Imitation. CoRR Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis
2021	J	`jnl`	Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. IEEE Trans. Pattern Anal. Mach. Intell. Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba
2021	J	`jnl`	Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. CoRR Todor Davchev, Oleg Sushkov, Jean-Baptiste Regli, Stefan Schaal, Yusuf Aytar, Markus Wulfmeier, Jon Scholz
2021	A*	`conf`	With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. ICCV Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2021	J	`jnl`	With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. CoRR Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2020	A*	`conf`	Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CVPR Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2020	J	`jnl`	Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. CoRR Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2020	J	`jnl`	Large-scale multilingual audio visual dubbing. CoRR 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
2020	Misc	`conf`	Learning rich touch representations through cross-modal self-supervision. CoRL Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell
2020	J	`jnl`	Offline Learning from Demonstrations and Unlabeled Experience. CoRR Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Çaglar Gülçehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott E. Reed
2020	—	`conf`	Scaling data-driven robotics with reward sketching and batch reinforcement learning. Robotics: Science and Systems 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
2020	A*	`conf`	Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation. ICRA Rae Jeong, Yusuf Aytar, David Khosid, Yuxiang Zhou, Jackie Kay, Thomas Lampe, Konstantinos Bousmalis, Francesco Nori
2020	J	`jnl`	Semi-supervised reward learning for offline reinforcement learning. CoRR Ksenia Konyushkova, Konrad Zolna, Yusuf Aytar, Alexander Novikov, Scott E. Reed, Serkan Cabi, Nando de Freitas
2019	J	`jnl`	A Framework for Data-Driven Robotics. CoRR 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
2019	J	`jnl`	Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation. CoRR Rae Jeong, Yusuf Aytar, David Khosid, Yuxiang Zhou, Jackie Kay, Thomas Lampe, Konstantinos Bousmalis, Francesco Nori
2019	A*	`conf`	Temporal Cycle-Consistency Learning. CVPR Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2019	J	`jnl`	Temporal Cycle-Consistency Learning. CoRR Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman
2018	J	`jnl`	Cross-Modal Scene Networks. IEEE Trans. Pattern Anal. Mach. Intell. Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
2018	J	`jnl`	One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL. CoRR 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
2018	A*	`conf`	Playing hard exploration games by watching YouTube. NeurIPS Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas
2018	J	`jnl`	Playing hard exploration games by watching YouTube. CoRR Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas
2018	J	`jnl`	Recipe1M: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. CoRR Javier Marín, Aritro Biswas, Ferda Ofli, Nicholas Hynes, Amaia Salvador, Yusuf Aytar, Ingmar Weber, Antonio Torralba
2017	—	`conf`	Exploiting Convolution Filter Patterns for Transfer Learning. ICCV Workshops Mehmet Aygun, Yusuf Aytar, Hazim Kemal Ekenel
2017	J	`jnl`	Exploiting Convolution Filter Patterns for Transfer Learning. CoRR Mehmet Aygün, Yusuf Aytar, Hazim Kemal Ekenel
2017	A	`conf`	Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media. ICWSM Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba, Ingmar Weber
2017	J	`jnl`	Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media. CoRR Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marín, Antonio Torralba, Ingmar Weber
2017	J	`jnl`	Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health. CoRR Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba
2017	A*	`conf`	Is Saki #delicious?: The Food Perception Gap on Instagram and Its Relation to Health. WWW Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba
2017	A*	`conf`	Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. CVPR Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marín, Ferda Ofli, Ingmar Weber, Antonio Torralba
2017	J	`jnl`	See, Hear, and Read: Deep Aligned Representations. CoRR Yusuf Aytar, Carl Vondrick, Antonio Torralba
2016	J	`jnl`	Cross-Modal Scene Networks. CoRR Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
2016	—	`conf`	How Transferable Are CNN-Based Features for Age and Gender Classification? BIOSIG Gökhan Özbulak, Yusuf Aytar, Hazim Kemal Ekenel
2016	J	`jnl`	How Transferable are CNN-based Features for Age and Gender Classification? CoRR Gökhan Özbulak, Yusuf Aytar, Hazim Kemal Ekenel
2016	A*	`conf`	Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CVPR Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
2016	J	`jnl`	Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CoRR Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
2016	—	`conf`	SoundNet: Learning Sound Representations from Unlabeled Video. NIPS Yusuf Aytar, Carl Vondrick, Antonio Torralba
2016	J	`jnl`	SoundNet: Learning Sound Representations from Unlabeled Video. CoRR Yusuf Aytar, Carl Vondrick, Antonio Torralba
2015	J	`jnl`	Part level transfer regularization for enhancing exemplar SVMs. Comput. Vis. Image Underst. Yusuf Aytar, Andrew Zisserman
2014	A*	`conf`	Immediate, Scalable Object Category Detection. CVPR Yusuf Aytar, Andrew Zisserman
2014	—	`conf`	Multi-Task Multi-Sample Learning. ECCV Workshops (3) Yusuf Aytar, Andrew Zisserman
2014	—	`—`	Transfer learning for object category detection. Yusuf Aytar
2012	A	`conf`	Enhancing Exemplar SVMs using Part Level Transfer Regularization. BMVC Yusuf Aytar, Andrew Zisserman
2011	A*	`conf`	Tabula rasa: Model transfer for object category detection. ICCV Yusuf Aytar, Andrew Zisserman
2008	A*	`conf`	Utilizing semantic word similarity measures for video retrieval. CVPR Yusuf Aytar, Mubarak Shah, Jiebo Luo
2007	A	`conf`	Improving Semantic Concept Detection and Retrieval using Contextual Estimates. ICME Yusuf Aytar, Omer Bilal Orhan, Mubarak Shah
2007	—	`conf`	University of Central Florida at TRECVID 2007 Semantic Video Classification and Automatic Search. TRECVID Jingen Liu, Yusuf Aytar, Omer Bilal Orhan, Jenny Han, Mubarak Shah