Martial Hebert
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Geology top 0.02%
- 3D Surveying and Cultural Heritage
Papers in
-
- Advanced Image and Video Retrieval Techniques 120
- Advanced Vision and Imaging 99
- Robotic Path Planning Algorithms 62
- Advanced Neural Network Applications 43
- Image Retrieval and Classification Techniques 40
- Image and Object Detection Techniques 37
-
- Robotics and Sensor-Based Localization 178
- Co-authors
- Andrew Johnson (13 shared papers)Alexei A. Efros (25 shared papers)Derek Hoiem (13 shared papers)Marius Leordeanu (11 shared papers)J. Andrew Bagnell (37 shared papers)Rahul Sukthankar (16 shared papers)Takeo Kanade (30 shared papers)Olivier Faugeras (7 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (12 papers)International Journal of Computer Vision (11 papers)The International Journal of Robotics Research (8 papers)Autonomous Robots (7 papers)Image and Vision Computing (6 papers)
- Partner nations
- United StatesFranceIsrael
In The Last Decade
Martial Hebert
429 papers receiving 27.5k citations
Martial Hebert's Hit Papers
Peers
Comparison fields: 5 of 195
- Computer Vision and Pattern Recognition 21.8k
- Geology 3.3k
- Computer Graphics and Computer-Aided Design 1.3k
- Aerospace Engineering 8.6k
- Media Technology 1.9k
Countries citing papers authored by Martial Hebert
This map shows the geographic impact of Martial Hebert'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 Martial Hebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martial Hebert more than expected).
Fields of papers citing papers by Martial Hebert
This network shows the impact of papers produced by Martial Hebert. 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 Martial Hebert. The network helps show where Martial Hebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Martial Hebert, 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 452 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Using spin images for efficient object recognition in cluttered 3D scenes Hit paper breakdown → | 1999 | 2065 |
| 2 | A spectral technique for correspondence problems using pairwise constraints Hit paper breakdown → | 2005 | 935 |
| 3 | Vision and navigation for the Carnegie-Mellon Navlab Hit paper breakdown → | 1988 | 656 |
| 4 | The Representation, Recognition, and Locating of 3-D Objects Hit paper breakdown → | 1986 | 645 |
| 5 | PCN: Point Completion Network Hit paper breakdown → | 2018 | 624 |
| 6 | Putting Objects in Perspective Hit paper breakdown → | 2008 | 622 |
| 7 | Toward Objective Evaluation of Image Segmentation Algorithms Hit paper breakdown → | 2007 | 616 |
| 8 | Semi-Supervised Self-Training of Object Detection Models Hit paper breakdown → | 2005 | 569 |
| 9 | Recovering Surface Layout from an Image Hit paper breakdown → | 2007 | 544 |
| 10 | Geometric context from a single image Hit paper breakdown → | 2005 | 534 |
| 11 | Low-Shot Learning from Imaginary Data Hit paper breakdown → | 2018 | 498 |
| 12 | Automatic photo pop-up Hit paper breakdown → | 2005 | 458 |
| 13 | Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification Hit paper breakdown → | 2016 | 458 |
| 14 | Simultaneous Localization, Mapping and Moving Object Tracking Hit paper breakdown → | 2007 | 449 |
| 15 | Activity Forecasting Hit paper breakdown → | 2012 | 432 |
| 16 | Efficient visual event detection using volumetric features Hit paper breakdown → | 2005 | 422 |
| 17 | 2006 | 379 | |
| 18 | An empirical study of context in object detection Hit paper breakdown → | 2009 | 365 |
| 19 | Geometric reasoning for single image structure recovery Hit paper breakdown → | 2009 | 335 |
| 20 | 2006 | 331 |
About Martial Hebert
Martial Hebert is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Environmental Engineering and Geology, having authored 452 papers that have together received 29.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (178 papers), Advanced Image and Video Retrieval Techniques (120 papers), Advanced Vision and Imaging (99 papers), Robotic Path Planning Algorithms (62 papers), Advanced Neural Network Applications (43 papers), Image Retrieval and Classification Techniques (40 papers), Remote Sensing and LiDAR Applications (39 papers) and Image and Object Detection Techniques (37 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (21.8k citations), Geology (3.3k citations), Computer Graphics and Computer-Aided Design (1.3k citations), Aerospace Engineering (8.6k citations) and Media Technology (1.9k citations). Martial Hebert has collaborated with scholars based in United States, France and Israel. Frequent co-authors include Andrew Johnson, Alexei A. Efros, Derek Hoiem, Marius Leordeanu, J. Andrew Bagnell, Rahul Sukthankar, Takeo Kanade, Olivier Faugeras, Yu-Xiong Wang and Abhinav Gupta. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, The International Journal of Robotics Research, Autonomous Robots and Image and Vision Computing.
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.