2 citations · 2 across the 2 of their papers we have counts for
3 papers
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control
Marco Oliva, Soubarna Banik, Josip Josifovski +1
State-of-the-art reinforcement learning algorithms predominantly learn a policy from either a numerical state vector or images. Both approaches generally do not take structural kno…
Vogtareuth Rehab Depth Datasets: Benchmark for Marker-less Posture Estimation in Rehabilitation
Soubarna Banik, Alejandro Mendoza Garcia, Lorenz Kiwull +2
Posture estimation using a single depth camera has become a useful tool for analyzing movements in rehabilitation. Recent advances in posture estimation in computer vision research…
Multi-label Object Attribute Classification using a Convolutional Neural Network
Soubarna Banik, Mikko Lauri, Simone Frintrop
Objects of different classes can be described using a limited number of attributes such as color, shape, pattern, and texture. Learning to detect object attributes instead of only…