Ambrish Tyagi
Impact in
-
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
-
- Video Surveillance and Tracking Methods 9
- Advanced Vision and Imaging 5
- Human Pose and Action Recognition 5
- Advanced Image and Video Retrieval Techniques 2
- Advanced Neural Network Applications 2
-
- Gait Recognition and Analysis 3
- Co-authors
- Amit Agrawal (3 shared papers)Zhongyue Zhang (1 shared paper)Kristin Dana (1 shared paper)Xiaogang Wang (1 shared paper)Hang Zhang (1 shared paper)Jianping Shi (1 shared paper)James W. Davis (7 shared papers)Gerasimos Potamianos (4 shared papers)
- Journals
- Image and Vision Computing (1 paper)Computers and the Humanities (1 paper)
- Partner nations
- United StatesGermanyHong Kong
In The Last Decade
Ambrish Tyagi
13 papers receiving 1.2k citations
Ambrish Tyagi's Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 961
- Media Technology 160
- Artificial Intelligence 414
- Industrial and Manufacturing Engineering 52
- Signal Processing 45
Countries citing papers authored by Ambrish Tyagi
This map shows the geographic impact of Ambrish Tyagi'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 Ambrish Tyagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambrish Tyagi more than expected).
Fields of papers citing papers by Ambrish Tyagi
This network shows the impact of papers produced by Ambrish Tyagi. 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 Ambrish Tyagi. The network helps show where Ambrish Tyagi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ambrish Tyagi, 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 | Context Encoding for Semantic Segmentation Hit paper breakdown → | 2018 | 987 |
| 2 | 2019 | 72 | |
| 3 | 2007 | 54 | |
| 4 | 2006 | 38 | |
| 5 | 2008 | 30 | |
| 6 | 2007 | 18 | |
| 7 | 2007 | 17 | |
| 8 | PoseNet3D: Unsupervised 3D Human Shape and Pose Estimation | 2020 | 9 |
| 9 | 2008 | 9 | |
| 10 | 2006 | 7 | |
| 11 | 2006 | 6 | |
| 12 | 2008 | 5 | |
| 13 | Layered tracker switching for visual surveillance | 2008 | 1 |
About Ambrish Tyagi
Ambrish Tyagi is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Environmental Engineering and Sociology and Political Science, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Advanced Vision and Imaging (5 papers), Human Pose and Action Recognition (5 papers), Gait Recognition and Analysis (3 papers), Remote Sensing and LiDAR Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (961 citations), Media Technology (160 citations), Artificial Intelligence (414 citations), Industrial and Manufacturing Engineering (52 citations) and Signal Processing (45 citations). Ambrish Tyagi has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Amit Agrawal, Zhongyue Zhang, Kristin Dana, Xiaogang Wang, Hang Zhang, Jianping Shi, James W. Davis, Gerasimos Potamianos, Visesh Chari and Siddhartha Chandra. Their work appears in journals such as Image and Vision Computing and Computers and the Humanities.
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.