Maxime Oquab
7 papers · 2014–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
❓
The Questioner
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Computer Vision
(4)
Architectures
(4)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(4)
Analysis
(3)
Application Areas
(3)
Core Methods
(2)
Artificial Intelligence
(1)
Core AI
(1)
Learning Paradigms
(1)
Optimization & Theory
(1)
Processing
(1)
Techniques
(1)
Keywords
self-supervised learning
(4)
object classification
(2)
vision transformer
(2)
semantic segmentation
(2)
convolutional neural network
(2)
representation learning
(2)
vision-language alignment
(1)
adversarial training
(1)
object localization
(1)
image recognition
(1)
conditional distribution
(1)
neural network regularization
(1)
feature map
(1)
foundation model
(1)
zero-shot classification
(1)
attention map
(1)
image-level label
(1)
stochastic depth
(1)
mid-level representation
(1)
neural network
(1)
Papers
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment
CVPR 2025
Vision Transformers Need Registers
ICLR 2024
You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning
NeurIPS 2024
Co-Training 2L Submodels for Visual Recognition
CVPR 2023
Learning about an exponential amount of conditional distributions
NeurIPS 2019
Is Object Localization for Free? - Weakly-Supervised Learning With Convolutional Neural Networks
CVPR 2015
Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks
CVPR 2014