Oquab, Maxime
Institut national de recherche en sciences et technologies du numérique · Université Paris-Saclay
4 papers on CoChat
Most cited papers
- Verified
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
Oquab, M., Bottou, L., Laptev, I., & Sivic, J. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 3,150
- Verified
DINOv2: Learning Robust Visual Features without Supervision
Oquab, M., Darcet, T., Moutakanni, T., Vo, H., Szafraniec, M., Khalidov, V., Fernandez, P., Haziza, D., Massa, F., El-Nouby, A., et al. (2023) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 1,078
- Verified
Is object localization for free? - Weakly-supervised learning with convolutional neural networks
Oquab, M., Bottou, L., Laptev, I., & Sivic, J. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 886
- Verified
Vision Transformers Need Registers
Darcet, T., Oquab, M., Mairal, J., & Bojanowski, P. (2023) · arXiv
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 90
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