Pierre Sermanet
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Media Technology top 0.05%
Papers in
-
- Advanced Image and Video Retrieval Techniques 11
- Human Pose and Action Recognition 8
- Multimodal Machine Learning Applications 8
- Robotic Path Planning Algorithms 7
- Advanced Vision and Imaging 7
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- Domain Adaptation and Few-Shot Learning 6
- Co-authors
- Dragomir Anguelov (1 shared paper)Yangqing Jia (1 shared paper)Dumitru Erhan (1 shared paper)Andrew Rabinovich (1 shared paper)Vincent Vanhoucke (1 shared paper)Christian Szegedy (1 shared paper)Scott Reed (1 shared paper)Wei Liu (1 shared paper)
- Journals
- Journal of Field Robotics (2 papers)International Symposium on Robotics (1 paper)IFAC Proceedings Volumes (1 paper)arXiv (Cornell University) (1 paper)Computer Vision and Pattern Recognition (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Pierre Sermanet
33 papers receiving 32.6k citations
Pierre Sermanet's Hit Papers
Peers
Comparison fields: 5 of 215
- Computer Vision and Pattern Recognition 18.9k
- Media Technology 3.3k
- Artificial Intelligence 10.5k
- Signal Processing 1.9k
- Radiology, Nuclear Medicine and Imaging 3.4k
Countries citing papers authored by Pierre Sermanet
This map shows the geographic impact of Pierre Sermanet'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 Pierre Sermanet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Sermanet more than expected).
Fields of papers citing papers by Pierre Sermanet
This network shows the impact of papers produced by Pierre Sermanet. 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 Pierre Sermanet. The network helps show where Pierre Sermanet may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Sermanet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Going deeper with convolutions Hit paper breakdown → | 2015 | 31022 |
| 2 | Traffic sign recognition with multi-scale Convolutional Networks Hit paper breakdown → | 2011 | 531 |
| 3 | Pedestrian Detection with Unsupervised Multi-stage Feature Learning Hit paper breakdown → | 2013 | 494 |
| 4 | Learning Convolutional Feature Hierarchies for Visual Recognition Hit paper breakdown → | 2010 | 330 |
| 5 | Time-Contrastive Networks: Self-Supervised Learning from Video Hit paper breakdown → | 2018 | 312 |
| 6 | With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Hit paper breakdown → | 2021 | 254 |
| 7 | 2009 | 233 | |
| 8 | 2020 | 71 | |
| 9 | 2017 | 63 | |
| 10 | 2021 | 61 | |
| 11 | 2017 | 58 | |
| 12 | 2008 | 54 | |
| 13 | 2008 | 29 | |
| 14 | 2018 | 28 | |
| 15 | 2020 | 28 | |
| 16 | 2024 | 27 | |
| 17 | 2007 | 25 | |
| 18 | 2008 | 24 | |
| 19 | 2023 | 22 | |
| 20 | Overfeat: Integrated recognition, localization and detection using convolutional networks. 2nd International Conference on Learning Representations, ICLR 2014 | 2014 | 16 |
About Pierre Sermanet
Pierre Sermanet is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering and Cognitive Neuroscience, having authored 33 papers that have together received 33.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (11 papers), Human Pose and Action Recognition (8 papers), Multimodal Machine Learning Applications (8 papers), Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (7 papers), Advanced Vision and Imaging (7 papers), Robot Manipulation and Learning (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (18.9k citations), Media Technology (3.3k citations), Artificial Intelligence (10.5k citations), Signal Processing (1.9k citations) and Radiology, Nuclear Medicine and Imaging (3.4k citations). Pierre Sermanet has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Dragomir Anguelov, Yangqing Jia, Dumitru Erhan, Andrew Rabinovich, Vincent Vanhoucke, Christian Szegedy, Scott Reed, Wei Liu, Yann LeCun and Koray Kavukcuoglu. Their work appears in journals such as Journal of Field Robotics, International Symposium on Robotics, IFAC Proceedings Volumes, arXiv (Cornell University) and Computer Vision and Pattern Recognition.
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.