Author: Andriy Sorokin

Human pose reconstruction using transformer architecture from partially masked data represents a chellenging task in computer vision research. Transformers, originally developed for natural language processing tasks, have shown remarkable potential in handling sequential data with long-range dependencies, making them suitable for tasks like human pose estimation. In this context, partially masked data refers to images … Continue reading Reconstructing from parts

In the realm of robotics, the interaction between humans and robots has garnered significant attention due to its potential to revolutionize various sectors such as healthcare, manufacturing, and daily living assistance. Central to this interaction is the accurate estimation of human behavior, which plays a pivotal role in enabling robots to understand and respond effectively … Continue reading Human behavior estimation in human robot interaction