19 citations · 21 across the 2 of their papers we have counts for
3 papers
cs.LG2021
When Neural Networks Using Different Sensors Create Similar Features
Hugues Moreau, Andréa Vassilev, Liming Chen
Multimodal problems are omnipresent in the real world: autonomous driving, robotic grasping, scene understanding, etc... We draw from the well-developed analysis of similarity to p…
eess.SP2021★ 19 cited
The Devil Is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection
Hugues Moreau, Andréa Vassilev, Liming Chen
Transport mode detection is a classification problem aiming to design an algorithm that can infer the transport mode of a user given multimodal signals (GPS and/or inertial sensors…
cs.LG2021★ 2 cited
Data Fusion for Deep Learning on Transport Mode Detection: A Case Study
Hugues Moreau, Andréa Vassilev, Liming Chen
In Transport Mode Detection, a great diversity of methodologies exist according to the choice made on sensors, preprocessing, model used, etc. In this domain, the comparisons betwe…