Aytar, Yusuf

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

Dwibedi, D., Aytar, Y., Tompson, J., Sermanet, P., & Zisserman, A. (2021) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 405

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

Dwibedi, D., Aytar, Y., Tompson, J., Sermanet, P., & Zisserman, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 404

Learning Aligned Cross-Modal Representations from Weakly Aligned Data

Castrejon, L., Aytar, Y., Vondrick, C., Pirsiavash, H., & Torralba, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 188

Perception Test: A Diagnostic Benchmark for Multimodal Video Models

Pătrăucean, V., Smaira, L., Gupta, A., Continente, A. R., Markeeva, L., Banarse, D., Koppula, S., Heyward, J., Malinowski, M., Yang, Y., et al. (2023) · arXiv

Image and Video Quality AssessmentMultimodal Machine Learning Applications

Cited by 34

Genie: Generative Interactive Environments

Bruce, J., Dennis, M., Edwards, A., Parker-Holder, J., Shi, Y., Hughes, E., Lai, M., Mavalankar, A., Steigerwald, R., Apps, C., et al. (2024) · arXiv

Reinforcement Learning in RoboticsGenerative Adversarial Networks and Image Synthesis

Cited by 23

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation

Bousmalis, K., Vezzani, G., Rao, D., Devin, C., Lee, A. X., Bauza, M., Davchev, T., Zhou, Y., Gupta, A., Raju, A., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 13

FlexCap: Describe Anything in Images in Controllable Detail

Dwibedi, D., Jain, V., Tompson, J., Zisserman, A., & Aytar, Y. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 1