Computer sciences Publications

Object Detection for Embedded Systems Using Tiny Spiking Neural Networks: Filtering Noise Through Visual Attention

Hugo Bulzomi, Yuta Nakano, Rémy Bendahan and Jean Martinet

2023

Event Data Representation based on Time Stamp for Pedestrian Detection

Yuta Nakano, Kozo Kajiwara, Atsushi Hori and Takeshi Fujita

2023

Data representation of event data for object detection

Yuta Nakano, Takeshi Fujita et al.

2023

LOCALLY MASKED CONVOLUTIONAL MODELS FOR ANOMALOUS SOUND DETECTION BY DEEP LEARNING

Frederic Abad, Yuta Nakano ,Remy Bendahan, Akiyoshi Takabe, Toshiki Muneto, Hidehiro Ito

2023

Control of an Air-Cored Resonant Induction Motor

 S. Bougnoux; R. Bendahan; K. Buchicchio; Y. Nakano; A. Abduallah; Y. Komi; Ph. Martin

2022

Investigation of Performance Shift by Conversion from Convolutional Neural Networks to Spiking Neural Networks

Yuta Nakano, Takeshi Fujita and Rémy Bendahan

2021

Energy Efficient Hand Gesture Recognition Using Event Camera and Spiking Neural Network

Van khoa Le, Sylvain Bougnoux, Takeshi Fujita and Rémy Bendahan

2020

MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction

Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo

2020

Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior

Osama Makansi, Ozgun Cicek, Kevin Buchicchio, Thomas Brox

2020

Vehicle Trajectories from Unlabeled Data Through Iterative Plane Registration

Federico Becattini, Lorenzo Seidenari, Lorenzo Berlincioni, Leonardo Galteri, Alberto Del Bimbo

2019

Overcoming limitations of mixture density networks: a sampling and fitting framework for multimodal future prediction

Osama Makansi, Eddy Ilg, Ozgun Cicek, Thomas Brox

2019

Enhancing our understanding of hazard perception

Sritika Chowdhury

2019

Scene danger ranking using deep neural network

Remy Bendahan, Dzmitry Tsishkou, Frederic Abad

2019

Spatially Sensitive Statistical Shape Analysis for Pedestrian Recognition from LIDAR Data

Savelonas, M. A., Pratikakis, I., Theoharis, T., Thanellas, G., Abad, F., Bendahan, R.

2018

Efficient Combination of Lidar Intensity and 3D Information by DNN for Pedestrian Recognition with High and Low Density 3D Sensor

Mioulet, L., Tsishkou, D., Bendahan, R., Abad, F.

2017

Safe Vehicle Trajectory Prediction Using Deep Neural Networks and Camera Images

Dzmitry Tsishkou, Remy Bendahan

2016

Real-time multiple object recognition for collision avoidance using Wide Angle Stereo Camera

Tsishkou, D., Shirvany, R., Abad, F., Bougnoux, S., Bendahan, R.

2014

Low cost stereovision based truck parking occupancy detection

Deruytter, M., Favoreel, W., Tsishkou, D., Bougnoux, S., Bendahan, R.

2013

Real-time bicycle recognition for intelligent rear collision warning systems

Shirvany, R., Tsishkou, D., Vestri, C., Abad, F., Bougnoux, S., Bendahan, R.

2013

Stereovision truck parking occupancy detection

Deruytter, M., Maddelein, K., Favoreel, W., Tsishkou, D., Bougnoux, S., Bendahan, R.

2012

Rear collision avoidance using only small baseline wide angle stereo camera

Bendahan, R., Vestri, C., Tsishkou, D., Abad, F., Bougnoux, S.

2011

Vision-based safe maneuvers with detection of 10cm height obstacles

Vestri, C., Tsishkou, D., Abad, F., Wybo, S., Bougnoux, S., Bendahan, R.

2010

Evaluation of pedestrian/child recognition by stereovision system

Tsishkou, D., Vestri, C., Abad, F., Wybo, S., Bougnoux, S., Bendahan, R.

2010

Real-time monocular 3D vision system

Vestri, C., Bendahan, R., Abad, F., Wybo, S., Bougnoux, S.

2009

Transition: A relevant image feature for fast obstacle detection

Vestri, C., Bendahan, R., Abad, F., Wybo, S., Bougnoux, S.

2009

Monocular Vision Obstacles Detection for Autonomous Navigation

Wybo, S., Tsishkou, D., Vestri, C., Abad, F., Bougnoux, S., Bendahan, R.

2008

Experimental evaluation of multi-cue monocular pedestrian detection system using built-in rear view camera

Tsishkou, D., Bougnoux, S.

2007

Parking space detection

Abad, F., Bendahan, R., Wybo, S., Bougnoux, S., Vestri, C., Kakinami, T.

2007

Improving backing-up manoeuvre safety with vision-based movement detection

Wybo, S., Bendahan, R., Bougnoux, S., Vestri, C., Abad, F., Kakinami, T.

2007

Movement detection for safer backward maneuvers

Wybo, S., Bendahan, R., Bougnoux, S., Vestri, C., Abad, F., Kakinami, T.

2006

Movement detection for safer backward maneuver

Wybo, S., Bendahan, R., Bougnoux, S., Vestri, C., Abad, F., Kakinami, T.

2006

Evaluation of a point tracking vision system for parking assistance

Vestri, C., Bougnoux, S., Bendahan, R., Fintzel, K., Wybo, S., Abad, F., Kakinami, T.

2005

Evaluation of a vision-based parking assistance system

Vestri, C., Bougnoux, S., Bendahan, R., Fintzel, K., Wybo, S., Abad, F., Kakinami, T.

2005

3D Parking Assistant System

Fintzel, K., Bendahan, R., Vestri, C., Bougnoux, S., Kakinami, T.

2004

3D Vision System for Vehicles

Fintzel, K., Bendahan, R., Vestri, C., Bougnoux, S., Yamamoto, S., Kakinami, T.

2003