Monocular vision obstacles detection for autonomous navigation. - S. Wybo; Dzmitry Tsishkou; C. Vestri; Frédéric Abad; S. Bougnoux; Rémy Bendahan (IROS, 2008)

Efficient combination of Lidar intensity and 3D information by DNN for pedestrian recognition with high and low density 3D sensor. - Luc Mioulet; Dzmitry Tsishkou; Rémy Bendahan; Frédéric Abad (Intelligent Vehicles Symposium, 2017)

Spatially sensitive statistical shape analysis for pedestrian recognition from LIDAR data. - Michalis A. Savelonas; Ioannis Pratikakis; Theoharis Theoharis; Georgios Thanellas; Frédéric Abad; Rémy Bendahan (Comput. Vis. Image Underst., 2018)

Locally Masked Convolutional Models for Anomalous Sound Detection by Deep Learning. - Frédéric Abad; Yuta Nakano; Rémy Bendahan; Akiyoshi Takabe; Toshiki Muneto; Hidehiro Ito (ISM, 2023)

Object Detection for Embedded Systems Using Tiny Spiking Neural Networks: Filtering Noise Through Visual Attention. - Hugo Bulzomi; Amélie Gruel; Jean Martinet; Takeshi Fujita; Yuta Nakano; Rémy Bendahan (MVA, 2023)

Neuromorphic Temporal Pattern Detection with Spiking Neural Networks using Synaptic Delays. - Hugo Bulzomi; Yuta Nakano; Rémy Bendahan; Jean Martinet (AICAS, 2024)