Improving Semantic Concept Detection and Retrieval using Contextual Estimates. - Yusuf Aytar; Omer Bilal Orhan; Mubarak Shah (ICME, 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 (TRECVID, 2007)

Utilizing semantic word similarity measures for video retrieval. - Yusuf Aytar; Mubarak Shah; Jiebo Luo 001 (CVPR, 2008)

Tabula rasa: Model transfer for object category detection. - Yusuf Aytar; Andrew Zisserman (ICCV, 2011)

Enhancing Exemplar SVMs using Part Level Transfer Regularization. - Yusuf Aytar; Andrew Zisserman (BMVC, 2012)

Immediate, Scalable Object Category Detection. - Yusuf Aytar; Andrew Zisserman (CVPR, 2014)

Multi-Task Multi-Sample Learning. - Yusuf Aytar; Andrew Zisserman (ECCV Workshops (3), 2014)

Transfer learning for object category detection. - Yusuf Aytar (2014)

Part level transfer regularization for enhancing exemplar SVMs. - Yusuf Aytar; Andrew Zisserman (Comput. Vis. Image Underst., 2015)

How Transferable Are CNN-Based Features for Age and Gender Classification? - Gökhan Özbulak; Yusuf Aytar; Hazim Kemal Ekenel (BIOSIG, 2016)

Learning Aligned Cross-Modal Representations from Weakly Aligned Data. - Lluís Castrejón; Yusuf Aytar; Carl Vondrick; Hamed Pirsiavash; Antonio Torralba 001 (CVPR, 2016)

SoundNet: Learning Sound Representations from Unlabeled Video. - Yusuf Aytar; Carl Vondrick; Antonio Torralba 001 (NIPS, 2016)

Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. - Amaia Salvador; Nicholas Hynes 002; Yusuf Aytar; Javier Marín; Ferda Ofli; Ingmar Weber; Antonio Torralba 001 (CVPR, 2017)

Exploiting Convolution Filter Patterns for Transfer Learning. - Mehmet Aygun; Yusuf Aytar; Hazim Kemal Ekenel (ICCV Workshops, 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 001; Ingmar Weber (ICWSM, 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 001 (WWW, 2017)

See, Hear, and Read: Deep Aligned Representations. - Yusuf Aytar; Carl Vondrick; Antonio Torralba 001 (CoRR, 2017)

Playing hard exploration games by watching YouTube. - Yusuf Aytar; Tobias Pfaff; David Budden; Tom Le Paine; Ziyu Wang 001; Nando de Freitas (NeurIPS, 2018)

One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL. - Tom Le Paine; Sergio Gomez Colmenarejo; Ziyu Wang 001; Scott E. Reed; Yusuf Aytar; Tobias Pfaff; Matthew W. Hoffman; Gabriel Barth-Maron; Serkan Cabi; David Budden; Nando de Freitas (CoRR, 2018)

Cross-Modal Scene Networks. - Yusuf Aytar; Lluís Castrejón; Carl Vondrick; Hamed Pirsiavash; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Temporal Cycle-Consistency Learning. - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Pierre Sermanet; Andrew Zisserman (CVPR, 2019)

A Framework for Data-Driven Robotics. - Serkan Cabi; Sergio Gómez Colmenarejo; Alexander Novikov 001; Ksenia Konyushkova; Scott E. Reed; Rae Jeong; Konrad Zolna; Yusuf Aytar; David Budden; Mel Vecerík; Oleg Sushkov; David Barker; et al. (CoRR, 2019)

Learning rich touch representations through cross-modal self-supervision. - Martina Zambelli; Yusuf Aytar; Francesco Visin; Yuxiang Zhou; Raia Hadsell (CoRL, 2020)

Counting Out Time: Class Agnostic Video Repetition Counting in the Wild. - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Pierre Sermanet; Andrew Zisserman (CVPR, 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 (ICRA, 2020)

Scaling data-driven robotics with reward sketching and batch reinforcement learning. - Serkan Cabi; Sergio Gómez Colmenarejo; Alexander Novikov 001; Ksenia Konyushkova; Scott E. Reed; Rae Jeong; Konrad Zolna; Yusuf Aytar; David Budden; Mel Vecerík; Oleg Sushkov; David Barker; et al. (Robotics: Science and Systems, 2020)

Large-scale multilingual audio visual dubbing. - Yi Yang 007; Brendan Shillingford; Yannis M. Assael; Miaosen Wang; Wendi Liu; Yutian Chen 001; Yu Zhang; Eren Sezener; Luis C. Cobo; Misha Denil; Yusuf Aytar; Nando de Freitas (CoRR, 2020)

Offline Learning from Demonstrations and Unlabeled Experience. - Konrad Zolna; Alexander Novikov 001; Ksenia Konyushkova; Çaglar Gülçehre; Ziyu Wang 001; Yusuf Aytar; Misha Denil; Nando de Freitas; Scott E. Reed (CoRR, 2020)

Semi-supervised reward learning for offline reinforcement learning. - Ksenia Konyushkova; Konrad Zolna; Yusuf Aytar; Alexander Novikov 001; Scott E. Reed; Serkan Cabi; Nando de Freitas (CoRR, 2020)

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Pierre Sermanet; Andrew Zisserman (ICCV, 2021)

Manipulator-Independent Representations for Visual Imitation. - Yuxiang Zhou; Yusuf Aytar; Konstantinos Bousmalis (Robotics: Science and Systems, 2021)

Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images. - Javier Marín; Aritro Biswas; Ferda Ofli; Nicholas Hynes 002; Amaia Salvador; Yusuf Aytar; Ingmar Weber; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

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 (ICLR, 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 (ICLR, 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)

TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. - Carl Doersch; Yi Yang 007; Mel Vecerík; Dilara Gokay; Ankush Gupta 001; Yusuf Aytar; João Carreira 001; Andrew Zisserman (ICCV, 2023)

Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation. - Mohit Sharma 001; Claudio Fantacci; Yuxiang Zhou; Skanda Koppula; Nicolas Heess; Jon Scholz; Yusuf Aytar (ICLR, 2023)

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)

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. - Konstantinos Bousmalis; Giulia Vezzani; Dushyant Rao; Coline Devin; Alex X. Lee; Maria Bauzá 001; Todor Davchev; Yuxiang Zhou; Agrim Gupta; Akhil Raju; Antoine Laurens; Claudio Fantacci; et al. (CoRR, 2023)

Learning from One Continuous Video Stream. - João Carreira 001; Michael King; Viorica Patraucean; Dilara Gokay; Catalin Ionescu; Yi Yang 007; Daniel Zoran; Joseph Heyward; Carl Doersch; Yusuf Aytar; Dima Damen; Andrew Zisserman (CVPR, 2024)

Genie: Generative Interactive Environments. - Jake Bruce; Michael D. Dennis; Ashley Edwards; Jack Parker-Holder; Yuge Shi; Edward Hughes 001; Matthew Lai; Aditi Mavalankar; Richie Steigerwald; Chris Apps; Yusuf Aytar; Sarah Bechtle; et al. (ICML, 2024)

RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation. - Mel Vecerík; Carl Doersch; Yi Yang 007; Todor Davchev; Yusuf Aytar; Guangyao Zhou; Raia Hadsell; Lourdes Agapito; Jon Scholz (ICRA, 2024)

FlexCap: Describe Anything in Images in Controllable Detail. - Debidatta Dwibedi; Vidhi Jain; Jonathan Tompson; Andrew Zisserman; Yusuf Aytar (NeurIPS, 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 (NeurIPS, 2024)

FlexCap: Generating Rich, Localized, and Flexible Captions in Images. - Debidatta Dwibedi; Vidhi Jain; Jonathan Tompson; Andrew Zisserman; Yusuf Aytar (CoRR, 2024)

OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos. - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Andrew Zisserman (CoRR, 2024)

A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos. - Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Pierre Sermanet; Andrew Zisserman (CoRR, 2024)

Motion Prompting: Controlling Video Generation with Motion Trajectories. - Daniel Geng; Charles Herrmann; Junhwa Hur; Forrester Cole; Serena Zhang; Tobias Pfaff; Tatiana Lopez-Guevara; Carl Doersch; Yusuf Aytar; Michael Rubinstein; Chen Sun 002; Oliver Wang; et al. (CoRR, 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; et al. (Trans. Mach. Learn. Res., 2024)

Motion Prompting: Controlling Video Generation with Motion Trajectories. - Daniel Geng; Charles Herrmann; Junhwa Hur; Forrester Cole; Serena Zhang; Tobias Pfaff; Tatiana Lopez-Guevara; Yusuf Aytar; Michael Rubinstein; Chen Sun 002; Oliver Wang; Andrew Owens; et al. (CVPR, 2025)