When deploying artificial agents in real-world environments where they
i...
Camera sensors are increasingly being combined with machine learning to
...
It is widely known how the human ability to cooperate has influenced the...
Deploying machine learning applications on edge devices can bring clear
...
Crowd management relies on inspection of surveillance video either by
op...
The widespread deployment of surveillance cameras for facial recognition...
Automating the analysis of surveillance video footage is of great intere...
Learning to take actions based on observations is a core requirement for...
Because of their state-of-the-art performance in computer vision, CNNs a...
Learning-based approaches for robotic grasping using visual sensors typi...
Deep neural networks require large amounts of resources which makes them...
Deep residual networks (ResNets) made a recent breakthrough in deep lear...
Previous work has shown that it is possible to train deep neural network...
Reinforcement learning is a proven technique for an agent to learn a tas...
Deep reinforcement learning is becoming increasingly popular for robot
c...
In this paper we propose a technique which avoids the evaluation of cert...
We present four training and prediction schedules from the same
characte...