Valentin Gabeur
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Anomaly Detection Techniques and Applications
Papers in
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- Video Analysis and Summarization 1
- Advanced Image and Video Retrieval Techniques 1
- Advanced Vision and Imaging 1
- Human Pose and Action Recognition 1
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- Music and Audio Processing 1
- Speech and Audio Processing 1
- Co-authors
- Cordelia Schmid (2 shared papers)Karteek Alahari (2 shared papers)Chen Sun (1 shared paper)Grégory Rogez (1 shared paper)Paul Hongsuck Seo (1 shared paper)Jean-Sébastien Franco (1 shared paper)Arsha Nagrani (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)arXiv (Cornell University) (1 paper)Interspeech 2022 (1 paper)
- Partner nations
- FranceUnited StatesSouth Korea
In The Last Decade
Valentin Gabeur
3 papers receiving 412 citations
Valentin Gabeur's Hit Papers
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 373
- Artificial Intelligence 170
- Signal Processing 32
- Human-Computer Interaction 7
- Cancer Research 10
Countries citing papers authored by Valentin Gabeur
This map shows the geographic impact of Valentin Gabeur'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 Valentin Gabeur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Gabeur more than expected).
Fields of papers citing papers by Valentin Gabeur
This network shows the impact of papers produced by Valentin Gabeur. 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 Valentin Gabeur. The network helps show where Valentin Gabeur may publish in the future.
Co-authors
The 8 scholars most cited alongside Valentin Gabeur, 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 | Multi-modal Transformer for Video Retrieval Hit paper breakdown → | 2020 | 412 |
| 2 | 2022 | 6 | |
| 3 | 2019 | 3 |
About Valentin Gabeur
Valentin Gabeur is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics, Artificial Intelligence and Infectious Diseases, having authored 3 papers that have together received 421 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (1 paper), Video Analysis and Summarization (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Advanced Vision and Imaging (1 paper), Music and Audio Processing (1 paper), Speech and Audio Processing (1 paper), Human Pose and Action Recognition (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (373 citations), Artificial Intelligence (170 citations), Signal Processing (32 citations), Human-Computer Interaction (7 citations) and Cancer Research (10 citations). Valentin Gabeur has collaborated with scholars based in France, United States and South Korea. Frequent co-authors include Cordelia Schmid, Karteek Alahari, Chen Sun, Grégory Rogez, Chen Sun, Paul Hongsuck Seo, Jean-Sébastien Franco and Arsha Nagrani. Their work appears in journals such as Lecture notes in computer science, arXiv (Cornell University) and Interspeech 2022.
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.