Current, self-supervised depth estimation architectures rely on clear an...
Its numerous applications make multi-human 3D pose estimation a remarkab...
Self-supervised monocular depth estimation has been a subject of intense...
Estimating the location and orientation of humans is an essential skill ...
The novelty of this study consists in a multi-modality approach to scene...
Deep reinforcement learning agents have recently been successful across ...
Automatic art analysis has been mostly focused on classifying artworks i...
This work proposes a system for retrieving clothing and fashion products...
Can a neural network learn the concept of visual similarity? In this wor...