M. Saquib Sarfraz
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Media Technology top 5%
- Signal Processing
- Co-authors
- Rainer StiefelhagenArne SchumannAndreas EberleOlaf HellwichMuhammad Haris KhanMuhammad Moazam FrazEran A. EdirisingheVivek Sharma
- Topics
- Advanced Image and Video Retrieval Techniques (13 papers)Face and Expression Recognition (10 papers)Advanced Neural Network Applications (9 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceRemote SensingImage and Vision Computing
- Partner nations
- GermanyPakistanUnited Kingdom
In The Last Decade
M. Saquib Sarfraz
39 papers receiving 792 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 721
- Biomedical Engineering 169
- Artificial Intelligence 116
- Media Technology 98
- Signal Processing 40
Countries citing papers authored by M. Saquib Sarfraz
This map shows the geographic impact of M. Saquib Sarfraz'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 M. Saquib Sarfraz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Saquib Sarfraz more than expected).
Fields of papers citing papers by M. Saquib Sarfraz
This network shows the impact of papers produced by M. Saquib Sarfraz. 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 M. Saquib Sarfraz. The network helps show where M. Saquib Sarfraz may publish in the future.
Co-authorship network of co-authors of M. Saquib Sarfraz
This figure shows the co-authorship network connecting the top 25 collaborators of M. Saquib Sarfraz. A scholar is included among the top collaborators of M. Saquib Sarfraz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Saquib Sarfraz. M. Saquib Sarfraz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection | 30 |
| 10 | 31 | |
| 11 | Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss | 1 |
| 12 | A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-rankingbreakdown → | 363 |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 15 | |
| 16 | Real Time Localization, Tracking and Recognition of Vehicle License Plate. | 1 |
| 17 | A Probabilistic Framework for Patch based Vehicle Type Recognition. | 12 |
| 18 | 34 | |
| 19 | 15 | |
| 20 | 7 |
About M. Saquib Sarfraz
M. Saquib Sarfraz is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 41 papers that have together received 820 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Face and Expression Recognition (10 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (721 citations), Media Technology (98 citations) and Biomedical Engineering (169 citations). M. Saquib Sarfraz has collaborated with scholars based in Germany, Pakistan and United Kingdom. Frequent co-authors include Rainer Stiefelhagen, Arne Schumann, Andreas Eberle, Olaf Hellwich, Muhammad Haris Khan, Muhammad Moazam Fraz, Eran A. Edirisinghe, Vivek Sharma, Mohsen Ali and Adnan Elahi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Remote Sensing 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.