Florian Strub
Impact in
-
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
Papers in
-
- Multimodal Machine Learning Applications 8
- Advanced Image and Video Retrieval Techniques 4
-
- Domain Adaptation and Few-Shot Learning 4
- Topic Modeling 3
- Speech and dialogue systems 2
- Reinforcement Learning in Robotics 2
- Natural Language Processing Techniques 1
- Co-authors
- Aaron Courville (6 shared papers)Harm de Vries (4 shared papers)Ethan Perez (4 shared papers)Vincent Dumoulin (2 shared papers)Marie‐Agathe Charpagne (1 shared paper)Tresa M. Pollock (1 shared paper)Olivier Pietquin (7 shared papers)Yoshua Bengio (1 shared paper)
- Journals
- Materials Characterization (1 paper)Lecture notes in computer science (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)LillOA (Université de Lille (University Of Lille)) (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Florian Strub
11 papers receiving 1.1k citations
Florian Strub's Hit Papers
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 687
- Artificial Intelligence 522
- Signal Processing 170
- Computer Graphics and Computer-Aided Design 40
- Structural Biology 6
Countries citing papers authored by Florian Strub
This map shows the geographic impact of Florian Strub'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 Florian Strub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Strub more than expected).
Fields of papers citing papers by Florian Strub
This network shows the impact of papers produced by Florian Strub. 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 Florian Strub. The network helps show where Florian Strub may publish in the future.
Co-authors
The 21 scholars most cited alongside Florian Strub, 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 | FiLM: Visual Reasoning with a General Conditioning Layer Hit paper breakdown → | 2018 | 930 |
| 2 | 2018 | 92 | |
| 3 | 2017 | 52 | |
| 4 | 2019 | 43 | |
| 5 | 2018 | 12 | |
| 6 | Modulating early visual processing by language | 2017 | 11 |
| 7 | HoME: a Household Multimodal Environment. | 2018 | 4 |
| 8 | 2022 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2020 | 2 |
About Florian Strub
Florian Strub is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Metals and Alloys, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (8 papers), Advanced Image and Video Retrieval Techniques (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Topic Modeling (3 papers), Speech and dialogue systems (2 papers), Reinforcement Learning in Robotics (2 papers), Microstructure and Mechanical Properties of Steels (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (687 citations), Artificial Intelligence (522 citations), Signal Processing (170 citations), Computer Graphics and Computer-Aided Design (40 citations) and Structural Biology (6 citations). Florian Strub has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Aaron Courville, Harm de Vries, Ethan Perez, Vincent Dumoulin, Marie‐Agathe Charpagne, Tresa M. Pollock, Olivier Pietquin, Yoshua Bengio, Nathan Schucher and Jérémie Mary. Their work appears in journals such as Materials Characterization, Lecture notes in computer science, Proceedings of the AAAI Conference on Artificial Intelligence, LillOA (Université de Lille (University Of Lille)) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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.