2 citations · 4 across the 3 of their papers we have counts for
7 papers
Post-Train Adaptive U-Net for Image Segmentation
Kostiantyn Khabarlak
Typical neural network architectures used for image segmentation cannot be changed without further training. This is quite limiting as the network might not only be executed on a p…
Post-Train Adaptive MobileNet for Fast Anti-Spoofing
Kostiantyn Khabarlak
Many applications require high accuracy of neural networks as well as low latency and user data privacy guaranty. Face anti-spoofing is one of such tasks. However, a single model m…
Face Detection on Mobile: Five Implementations and Analysis
Kostiantyn Khabarlak
In many practical cases face detection on smartphones or other highly portable devices is a necessity. Applications include mobile face access control systems, driver status tracki…
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning
Andrei Boiarov, Kostiantyn Khabarlak, Igor Yastrebov
Meta-learning methods aim to build learning algorithms capable of quickly adapting to new tasks in low-data regime. One of the most difficult benchmarks of such algorithms is a one…
Mobile Access Control System Based on RFID Tags And Facial Information
Kostiantyn Khabarlak, Larysa Koriashkina
Better access control system security comes at a higher price. It many cases the price is too high for small companies, leaving them vulnerable with cheap and insecure systems. In…
Fast Facial Landmark Detection and Applications: A Survey
Kostiantyn Khabarlak, Larysa Koriashkina
Dense facial landmark detection is one of the key elements of face processing pipeline. It is used in virtual face reenactment, emotion recognition, driver status tracking, etc. Ea…