Vladislav Sovrasov
Lobachevsky State University of Nizhny Novgorod
metric learning
person re-identification
efficient inference
2
presentations
SHORT BIO
In 2017 graduated from the Lobachevsky State University with masters degree in applied mathematics and informatics. Currently is a postgraduate student. Research field is nonlinear global optimization methods. Since 2016 started working at Intel in computer vision team. Worked on different deep learning-based algorithms such as face recognition, face detection, multi camera multi person tracking and person re-identification.
OTHER AFFILIATIONS
Intel, IOTG Computer Vision (ICV)
Presentations
Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric Learning
Vladislav Sovrasov and 1 other author
Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric Learning
Vladislav Sovrasov and 1 other author