41 citations · 189 across the 29 of their papers we have counts for
4 papers · 1 filter
Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers
Luca Surace, Massimiliano Patacchiola, Elena Battini Sönmez +2
Group emotion recognition in the wild is a challenging problem, due to the unstructured environments in which everyday life pictures are taken. Some of the obstacles for an effecti…
Autonomous Quadrotor Landing using Deep Reinforcement Learning
Riccardo Polvara, Massimiliano Patacchiola, Sanjay Sharma +4
Landing an unmanned aerial vehicle (UAV) on a ground marker is an open problem despite the effort of the research community. Previous attempts mostly focused on the analysis of han…
Where is my forearm? Clustering of body parts from simultaneous tactile and linguistic input using sequential mapping
Karla Stepanova, Matej Hoffmann, Zdenek Straka +3
Humans and animals are constantly exposed to a continuous stream of sensory information from different modalities. At the same time, they form more compressed representations like…
Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models
Junpei Zhong, Angelo Cangelosi, Tetsuya Ogata
The abstraction tasks are challenging for multi- modal sequences as they require a deeper semantic understanding and a novel text generation for the data. Although the recurrent ne…