Ivan Laptev
- Computer Vision and Pattern Recognition top 0.02%
- Human Pose and Action Recognition 42
- Multimodal Machine Learning Applications 28
- Video Analysis and Summarization 19
- Advanced Image and Video Retrieval Techniques 16
- Advanced Vision and Imaging 15
- Video Surveillance and Tracking Methods 14
- Human-Computer Interaction top 0.05%
- Artificial Intelligence top 0.05%
- Anomaly Detection Techniques and Applications 16
- Domain Adaptation and Few-Shot Learning 10
- Biomedical Engineering top 0.5%
- Computational Mathematics top 5%
- Co-authors
- Cordelia SchmidJosef ŠivicMarcin MarszałekBarbara CaputoChristian SchüldtLéon BottouMaxime OquabGül Varol
In The Last Decade
Ivan Laptev
85 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Computer Vision and Pattern Recognition 13.1k
- Human-Computer Interaction 1.9k
- Artificial Intelligence 6.5k
- Biomedical Engineering 2.6k
- Computational Mathematics 35
Countries citing papers authored by Ivan Laptev
This map shows the geographic impact of Ivan Laptev'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 Ivan Laptev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Laptev more than expected).
Fields of papers citing papers by Ivan Laptev
This network shows the impact of papers produced by Ivan Laptev. 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 Ivan Laptev. The network helps show where Ivan Laptev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ivan Laptev, 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 | 2025 | 0 | |
| 2 | 2024 | 16 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 23 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 61 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 29 | |
| 9 | 2020 | 120 | |
| 10 | End-to-End Learning of Visual Representations From Uncurated Instructional Videosbreakdown → | 2020 | 339 |
| 11 | 2019 | 45 | |
| 12 | HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million\n Narrated Video Clipsbreakdown → | 2019 | 521 |
| 13 | Combining learned skills and reinforcement learning for robotic manipulations. | 2019 | 2 |
| 14 | 2019 | 67 | |
| 15 | Detecting rare visual relations using analogies | 2018 | 9 |
| 16 | INRIA-WILLOW at TRECVid 2010: Surveillance Event Detection | 2010 | 1 |
| 17 | 2010 | 271 | |
| 18 | Actions in contextbreakdown → | 2009 | 779 |
| 19 | Learning realistic human actions from moviesbreakdown → | 2008 | 2370 |
| 20 | AUTOMATIC ROAD EXTRACTION BASED ON MULTI-SCALE MODELING, CONTEXT, AND SNAKES | 2002 | 35 |
About Ivan Laptev
Ivan Laptev is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 89 papers that have together received 15.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (42 papers), Multimodal Machine Learning Applications (28 papers), Video Analysis and Summarization (19 papers), Anomaly Detection Techniques and Applications (16 papers), Advanced Image and Video Retrieval Techniques (16 papers), Advanced Vision and Imaging (15 papers), Video Surveillance and Tracking Methods (14 papers) and Domain Adaptation and Few-Shot Learning (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (13.1k citations), Human-Computer Interaction (1.9k citations) and Artificial Intelligence (6.5k citations). Ivan Laptev has collaborated with scholars based in France, Czechia and Slovakia. Frequent co-authors include Cordelia Schmid, Josef Šivic, Marcin Marszałek, Barbara Caputo, Christian Schüldt, Léon Bottou, Maxime Oquab, Gül Varol, Muhammad Muneeb Ullah and Alexander Kläser. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Computer Vision and Image Understanding, Image and Vision Computing and IEEE Transactions on Robotics.
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.