A5049626197- Face recognition and analysis
- Face and Expression Recognition
- Biometric Identification and Security
- Facial Nerve Paralysis Treatment and Research
- COVID-19 diagnosis using AI
- Facial Rejuvenation and Surgery Techniques
- Video Surveillance and Tracking Methods
- Advanced Text Analysis Techniques
- Web Data Mining and Analysis
- Image Processing and 3D Reconstruction
- Dermatoglyphics and Human Traits
- COVID-19 epidemiological studies
- Handwritten Text Recognition Techniques
- Complex Network Analysis Techniques
- Advanced Neural Network Applications
- Domain Adaptation and Few-Shot Learning
- Reconstructive Facial Surgery Techniques
Istanbul Technical University
2021-2022
TOBB University of Economics and Technology
2021
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attracted total 10 participating teams with valid submissions. affiliations these are diverse and associated academia industry in nine different countries. These successfully submitted 18 solutions. is designed to motivate solutions aiming at enhancing face recognition accuracy masked faces. Moreover, considered...
Facial appearance variations due to occlusion has been one of the main challenges for face recognition systems. To facilitate further research in this area, it is necessary and important have occluded datasets collected from real-world, as synthetically generated faces cannot represent nature problem. In paper, we present Real World Occluded Faces (ROF) dataset, that contains with both upper occlusion, sunglasses, lower masks. We propose two evaluation protocols dataset. Benchmark...
This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 attracted a total of 3 participating teams, from academia. Eventually, six valid submissions were submitted and then evaluated organizers. The competition was held to address challenge face recognition in presence severe occlusions. participants free use any training data testing built organisers synthetically occluding...
With the growth of social media, Twitter has become one most popularly used microblogging communication platforms between people. Due to wide preference Twitter, popular issues in public, events like local or global news and daily life stories can immediately publish on Twitter. Thus, a substantial number hot topics are created by users real-time. These exhibit every incident everyday life. Therefore, detection be many applications such as observing public judgment, product recommendation,...
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attracted total 10 participating teams with valid submissions. affiliations these are diverse and associated academia industry in nine different countries. These successfully submitted 18 solutions. is designed to motivate solutions aiming at enhancing face recognition accuracy masked faces. Moreover, considered...
This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 attracted a total of 3 participating teams, from academia. Eventually, six valid submissions were submitted and then evaluated organizers. The competition was held to address challenge face recognition in presence severe occlusions. participants free use any training data testing built organisers synthetically occluding...
Counting components on Piping and Instrumentation Diagrams (P&ID) representing the field plans of industrial companies is a time-consuming process. Considering that P&ID consists uniform symbols lines are drawn digital platforms, it possible to count automatically with respect their types, sizes specifications, benefiting image processing methods. Therefore, system developed including three as symbol recognition, pipe recognition tag recognition. Then, extracted information associated for...
The emergence of COVID-19 has had a global and profound impact, not only on society as whole, but also the lives individuals. Various prevention measures were introduced around world to limit transmission disease, including face masks, mandates for social distancing regular disinfection in public spaces, use screening applications. These developments triggered need novel improved computer vision techniques capable (i) providing support through an automated analysis visual data, one hand,...
Facial appearance variations due to occlusion has been one of the main challenges for face recognition systems. To facilitate further research in this area, it is necessary and important have occluded datasets collected from real-world, as synthetically generated faces cannot represent nature problem. In paper, we present Real World Occluded Faces (ROF) dataset, that contains with both upper occlusion, sunglasses, lower masks. We propose two evaluation protocols dataset. Benchmark...