Bill Triggs
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Advanced Vision and Imaging
- Face recognition and analysis
- Media Technology top 0.05%
Papers in
-
- Advanced Vision and Imaging 30
- Human Pose and Action Recognition 13
- Optical measurement and interference techniques 13
- Video Surveillance and Tracking Methods 11
- Advanced Image and Video Retrieval Techniques 10
- Face and Expression Recognition 7
- Image Retrieval and Classification Techniques 7
- Co-authors
- Navneet DalalXiaoyang TanAnkur AgarwalCristian SminchisescuFrédéric JurieRichard SzeliskiJakob VerbeekGuillaume Bouchard
- Journals
- The International Journal of Robotics Research (3 papers)International Journal of Computer Vision (3 papers)Image and Vision Computing (2 papers)IEEE Transactions on Image Processing (2 papers)Journal of Mathematical Imaging and Vision (2 papers)
- Partner nations
- FranceUnited StatesTürkiye
In The Last Decade
Bill Triggs
64 papers receiving 25.5k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Computer Vision and Pattern Recognition 22.7k
- Media Technology 3.3k
- Human-Computer Interaction 1.4k
- Artificial Intelligence 4.7k
- Signal Processing 1.6k
Countries citing papers authored by Bill Triggs
This map shows the geographic impact of Bill Triggs'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 Bill Triggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Triggs more than expected).
Fields of papers citing papers by Bill Triggs
This network shows the impact of papers produced by Bill Triggs. 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 Bill Triggs. The network helps show where Bill Triggs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bill Triggs, 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 | 2020 | 32 | |
| 2 | 2019 | 23 | |
| 3 | 2012 | 29 | |
| 4 | Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions Hit paper breakdown → | 2010 | 2029 |
| 5 | Scene Segmentation with CRFs Learned from Partially Labeled Images | 2007 | 88 |
| 6 | Scene segmentation with Conditional Random Fields learned from partially labeled images | 2007 | 27 |
| 7 | Human Detection using Oriented Histograms of Flow and Appearance | 2006 | 1 |
| 8 | Recovering 3D human pose from monocular images Hit paper breakdown → | 2006 | 461 |
| 9 | Sampling strategies for bag-of-features image classification | 2006 | 1 |
| 10 | A local basis representation for estimating human pose from cluttered images | 2006 | 5 |
| 11 | Histograms of Oriented Gradients for Human Detection Hit paper breakdown → | 2005 | 21115 |
| 12 | Creating efficient codebooks for visual recognition Hit paper breakdown → | 2005 | 462 |
| 13 | 2005 | 5 | |
| 14 | 2005 | 139 | |
| 15 | Learning to Recover 3D Human Pose from Silhouettes | 2004 | 0 |
| 16 | 2004 | 20 | |
| 17 | 2003 | 175 | |
| 18 | Vision algorithms : theory and practice : International Workshop on Vision Algorithms, Corfu, Greece, September 21-22, 1999 : proceedings | 2000 | 20 |
| 19 | A Unification of Autocalibration Methods | 2000 | 6 |
| 20 | A Robust Multiple Hypothesis Approach to Monocular Human Motion Tracking | 2000 | 11 |
About Bill Triggs
Bill Triggs is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Geology and Computer Graphics and Computer-Aided Design, having authored 70 papers that have together received 27.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (30 papers), Human Pose and Action Recognition (13 papers), Optical measurement and interference techniques (13 papers), Robotics and Sensor-Based Localization (13 papers), Video Surveillance and Tracking Methods (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Face and Expression Recognition (7 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (22.7k citations), Media Technology (3.3k citations), Human-Computer Interaction (1.4k citations), Artificial Intelligence (4.7k citations) and Signal Processing (1.6k citations). Bill Triggs has collaborated with scholars based in France, United States and Türkiye. Frequent co-authors include Navneet Dalal, Xiaoyang Tan, Ankur Agarwal, Cristian Sminchisescu, Frédéric Jurie, Richard Szeliski, Jakob Verbeek, Guillaume Bouchard, Hakan Çevıkalp and Fredrik Kahl. Their work appears in journals such as The International Journal of Robotics Research, International Journal of Computer Vision, Image and Vision Computing, IEEE Transactions on Image Processing and Journal of Mathematical Imaging and Vision.
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.