Philippe Weinzaepfel
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Biomedical Engineering
- Human-Computer Interaction top 5%
- Co-authors
- Cordelia SchmidJérôme RevaudGrégory RogezKarteek AlahariZaïd HarchaouiMartin HumenbergerPatrick PérezHervé Jeǵou
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Human Pose and Action Recognition (9 papers)Robotics and Sensor-Based Localization (9 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer VisionComputer Vision and Image Understanding
- Partner nations
- South KoreaFranceSpain
In The Last Decade
Philippe Weinzaepfel
22 papers receiving 967 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 886
- Artificial Intelligence 267
- Aerospace Engineering 217
- Biomedical Engineering 91
- Human-Computer Interaction 68
Countries citing papers authored by Philippe Weinzaepfel
This map shows the geographic impact of Philippe Weinzaepfel'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 Philippe Weinzaepfel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Weinzaepfel more than expected).
Fields of papers citing papers by Philippe Weinzaepfel
This network shows the impact of papers produced by Philippe Weinzaepfel. 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 Philippe Weinzaepfel. The network helps show where Philippe Weinzaepfel may publish in the future.
Co-authorship network of co-authors of Philippe Weinzaepfel
This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Weinzaepfel. A scholar is included among the top collaborators of Philippe Weinzaepfel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philippe Weinzaepfel. Philippe Weinzaepfel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 39 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 8 | |
| 12 | 12 | |
| 13 | SuperLoss: A Generic Loss for Robust Curriculum Learning | 24 |
| 14 | Hard Negative Mixing for Contrastive Learning | 24 |
| 15 | R2D2: Reliable and Repeatable Detectors and Descriptors for Joint Sparse Keypoint Detection and Local Feature Extraction | 3 |
| 16 | R2D2: Reliable and Repeatable Detector and Descriptor | 102 |
| 17 | 157 | |
| 18 | 187 | |
| 19 | International Conference on Computer Vision (ICCV 2017) | 90 |
| 20 | Deep Convolutional Matching | 4 |
About Philippe Weinzaepfel
Philippe Weinzaepfel is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Aerospace Engineering, having authored 27 papers that have together received 1000 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Human Pose and Action Recognition (9 papers) and Robotics and Sensor-Based Localization (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (886 citations), Human-Computer Interaction (68 citations) and Aerospace Engineering (217 citations). Philippe Weinzaepfel has collaborated with scholars based in South Korea, France and Spain. Frequent co-authors include Cordelia Schmid, Jérôme Revaud, Grégory Rogez, Karteek Alahari, Zaïd Harchaoui, Martin Humenberger, Patrick Pérez, Hervé Jeǵou, César Roberto de Souza and Vicky Kalogeiton. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Computer Vision and Image Understanding.
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.