Maxime Oquab
Impact in
-
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Human Pose and Action Recognition
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning
- AI in cancer detection
Papers in
-
- Advanced Neural Network Applications 6
- Generative Adversarial Networks and Image Synthesis 2
- Multimodal Machine Learning Applications 1
-
- Domain Adaptation and Few-Shot Learning 4
- Reinforcement Learning in Robotics 1
- Metaheuristic Optimization Algorithms Research 1
- Co-authors
- Ivan Laptev A (5 shared papers)Léon Bottou (5 shared papers)Josef Šivic (4 shared papers)Minsu Cho (1 shared paper)David López-Paz (2 shared papers)Jean-Rémi King (2 shared papers)Yana Hasson (1 shared paper)Thibault Peyronel (1 shared paper)
- Journals
- Nature Communications (1 paper)Journal of Neuroscience (1 paper)NeuroImage (1 paper)Lecture notes in computer science (2 papers)neural information processing systems (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Maxime Oquab
13 papers receiving 3.3k citations
Maxime Oquab's Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 1.8k
- Artificial Intelligence 887
- Media Technology 147
- Signal Processing 115
- Health Informatics 25
Countries citing papers authored by Maxime Oquab
This map shows the geographic impact of Maxime Oquab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maxime Oquab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Oquab more than expected).
Fields of papers citing papers by Maxime Oquab
This network shows the impact of papers produced by Maxime Oquab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maxime Oquab. The network helps show where Maxime Oquab may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Oquab, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks Hit paper breakdown → | 2014 | 2412 |
| 2 | Is object localization for free? - Weakly-supervised learning with convolutional neural networks Hit paper breakdown → | 2015 | 647 |
| 3 | 2016 | 207 | |
| 4 | Weakly supervised object recognition with convolutional neural networks | 2014 | 44 |
| 5 | 2021 | 33 | |
| 6 | Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks | 2014 | 26 |
| 7 | 2023 | 18 | |
| 8 | 2018 | 13 | |
| 9 | 2020 | 9 | |
| 10 | 2025 | 8 | |
| 11 | 2019 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2026 | 0 |
About Maxime Oquab
Maxime Oquab is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mathematics, Health Informatics and Statistics and Probability, having authored 14 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Reinforcement Learning in Robotics (1 paper), Metaheuristic Optimization Algorithms Research (1 paper), Multimodal Machine Learning Applications (1 paper) and Tensor decomposition and applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Artificial Intelligence (887 citations), Media Technology (147 citations), Signal Processing (115 citations) and Health Informatics (25 citations). Maxime Oquab has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Ivan Laptev A, Léon Bottou, Josef Šivic, Minsu Cho, David López-Paz, Jean-Rémi King, Yana Hasson, Thibault Peyronel, Daniel Haziza and Oran Gafni. Their work appears in journals such as Nature Communications, Journal of Neuroscience, NeuroImage, Lecture notes in computer science and neural information processing systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.