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Ryad B. Benosman
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2020 – today
- 2024
[j40]Seth Roffe, Himanshu Akolkar, Alan D. George
, Ryad Benosman:
Radiation-Induced Noise Resilience of Neuromorphic Architectures. J. Aerosp. Inf. Syst. 21(1): 75-83 (2024)- [i16]Daniel C. Stumpp, Himanshu Akolkar, Alan D. George, Ryad Benosman:
Flow-Based Visual Stream Compression for Event Cameras. CoRR abs/2403.08086 (2024) - [i15]Marco Rasetto, Himanshu Akolkar, Ryad Benosman:
Sup3r: A Semi-Supervised Algorithm for increasing Sparsity, Stability, and Separability in Hierarchy Of Time-Surfaces architectures. CoRR abs/2404.12402 (2024) - 2023
- [j39]Marco Rasetto, Qingzhou Wan, Himanshu Akolkar, Feng Xiong, Bertram E. Shi, Ryad Benosman:
Building Time-Surfaces by Exploiting the Complex Volatility of an ECRAM Memristor. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 877-888 (2023) - [j38]Pathik Sahoo, Pushpendra Singh, Komal Saxena, Subrata Ghosh, Ravindra P. Singh, Ryad Benosman, Jonathan P. Hill, Tomonobu Nakayama, Anirban Bandyopadhyay:
A general-purpose organic gel computer that learns by itself. Neuromorph. Comput. Eng. 3(4): 44007 (2023) - [c49]Urbano Miguel Nunes, Ryad Benosman, Sio-Hoi Ieng:
Adaptive Global Decay Process for Event Cameras. CVPR 2023: 9771-9780 - 2022
- [j37]Daniel C. Stumpp, Himanshu Akolkar, Alan D. George, Ryad B. Benosman:
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow. IEEE Access 10: 58181-58198 (2022) - [j36]Omar Oubari, Georgios Exarchakis, Gregor Lenz, Ryad Benosman, Sio-Hoi Ieng:
Efficient spatio-temporal feature clustering for large event-based datasets. Neuromorph. Comput. Eng. 2(4): 44004 (2022) - [j35]Himanshu Akolkar, Sio-Hoi Ieng, Ryad Benosman:
Real-Time High Speed Motion Prediction Using Fast Aperture-Robust Event-Driven Visual Flow. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 361-372 (2022) - [i14]Marco Rasetto, Qingzhou Wan, Himanshu Akolkar, Bertram E. Shi, Feng Xiong, Ryad Benosman:
The Challenges Ahead for Bio-inspired Neuromorphic Event Processors: How Memristors Dynamic Properties Could Revolutionize Machine Learning. CoRR abs/2201.12673 (2022) - 2021
- [j34]Seth Roffe, Himanshu Akolkar, Alan D. George, Bernabé Linares-Barranco, Ryad Benosman:
Neutron-Induced, Single-Event Effects on Neuromorphic Event-Based Vision Sensor: A First Step and Tools to Space Applications. IEEE Access 9: 85748-85763 (2021) - [j33]Qingzhou Wan, Marco Rasetto, Mohammad T. Sharbati, John R. Erickson, Sridhar Reddy Velagala, Matthew T. Reilly, Yiyang Li, Ryad Benosman, Feng Xiong:
Low-Voltage Electrochemical Li x WO 3 Synapses with Temporal Dynamics for Spiking Neural Networks. Adv. Intell. Syst. 3(9): 2100021 (2021) - [j32]Stephen J. Maybank, Sio-Hoi Ieng, Davide Migliore, Ryad Benosman:
Optical flow estimation using the Fisher-Rao metric. Neuromorph. Comput. Eng. 1(2): 24004 (2021) - [c48]Antoine Grimaldi, Victor Boutin, Laurent Perrinet, Sio-Hoi Ieng, Ryad Benosman:
A homeostatic gain control mechanism to improve event-driven object recognition. CBMI 2021: 1-6 - [i13]Daniel C. Stumpp, Himanshu Akolkar, Alan D. George, Ryad B. Benosman:
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow. CoRR abs/2112.06772 (2021) - [i12]Marco Rasetto, Juan Pedro Dominguez-Morales, Angel Jiménez-Fernandez, Ryad Benosman:
Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition. CoRR abs/2112.07011 (2021) - 2020
- [j31]Ricardo Tapiador-Morales, Jean-Matthieu Maro, Angel Jiménez-Fernandez, Gabriel Jiménez-Moreno, Ryad Benosman, Alejandro Linares-Barranco:
Event-Based Gesture Recognition through a Hierarchy of Time-Surfaces for FPGA. Sensors 20(12): 3404 (2020) - [c47]Germain Haessig, Daniel García-Lesta, Gregor Lenz, Ryad Benosman, Piotr Dudek:
A Mixed-Signal Spatio-Temporal Signal Classifier for On-Sensor Spike Sorting. ISCAS 2020: 1-5 - [c46]John V. Monaco, Ryad Benosman:
General Purpose Computation with Spiking Neural Networks: Programming, Design Principles, and Patterns. NICE 2020: 24:1-24:9
2010 – 2019
- 2019
- [j30]Mina A. Khoei, Sio-Hoi Ieng, Ryad Benosman:
Asynchronous Event-Based Motion Processing: From Visual Events to Probabilistic Sensory Representation. Neural Comput. 31(6): 1114-1138 (2019) - [j29]David Reverter Valeiras, Xavier Clady, Sio-Hoi Ieng, Ryad Benosman:
Event-Based Line Fitting and Segment Detection Using a Neuromorphic Visual Sensor. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1218-1230 (2019) - [c45]Germain Haessig, Francesco Galluppi, Xavier Lagorce, Ryad Benosman:
Neuromorphic networks on the SpiNNaker platform. AICAS 2019: 86-91 - [c44]Jean-Matthieu Maro, Gregor Lenz, Christopher Reeves, Ryad Benosman:
Event-based Visual Gesture Recognition with Background Suppression running on a smart-phone. FG 2019: 1 - 2018
- [j28]Germain Haessig, Andrew Cassidy, Rodrigo Alvarez-Icaza, Ryad Benosman, Garrick Orchard:
Spiking Optical Flow for Event-Based Sensors Using IBM's TrueNorth Neurosynaptic System. IEEE Trans. Biomed. Circuits Syst. 12(4): 860-870 (2018) - [j27]Xavier Berthelon, Guillaume Chenegros, Thomas Finateu, Sio-Hoi Ieng, Ryad Benosman:
Effects of Cooling on the SNR and Contrast Detection of a Low-Light Event-Based Camera. IEEE Trans. Biomed. Circuits Syst. 12(6): 1467-1474 (2018) - [j26]Luis A. Camuñas-Mesa, Teresa Serrano-Gotarredona, Sio-Hoi Ieng, Ryad Benosman, Bernabé Linares-Barranco:
Event-Driven Stereo Visual Tracking Algorithm to Solve Object Occlusion. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4223-4237 (2018) - [j25]Gregory Cohen, Saeed Afshar, Garrick Orchard, Jonathan Tapson, Ryad Benosman, André van Schaik:
Spatial and Temporal Downsampling in Event-Based Visual Classification. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5030-5044 (2018) - [c43]Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, Ryad Benosman:
HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification. CVPR 2018: 1731-1740 - [c42]Francesco Galluppi, Guillaume Chenegros, Didier Pruneau, Nacer Boussahoul, Gilles Cordurié, Charlie Galle, Nicolas Oddo, Xavier Lagorce, Christoph Posch, Proshato Shabestary, Joël Chavas, Ryad Benosman:
Live Demonstration: A Wearable Device for Optogenetic Vision Restoration. ISCAS 2018: 1- - [i11]Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, Ryad Benosman:
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification. CoRR abs/1803.07913 (2018) - [i10]Gregor Lenz, Sio-Hoi Ieng, Ryad Benosman:
Event-based Dynamic Face Detection and Tracking Based on Activity. CoRR abs/1803.10106 (2018) - [i9]Germain Haessig, Ryad Benosman:
A Sparse Coding Multi-Scale Precise-Timing Machine Learning Algorithm for Neuromorphic Event-Based Sensors. CoRR abs/1804.09236 (2018) - [i8]Marco Macanovic, Fabian Chersi, Félix Rutard, Sio-Hoi Ieng, Ryad Benosman:
When Conventional machine learning meets neuromorphic engineering: Deep Temporal Networks (DTNets) a machine learning frawmework allowing to operate on Events and Frames and implantable on Tensor Flow Like Hardware. CoRR abs/1811.07672 (2018) - [i7]Jean-Matthieu Maro, Ryad Benosman:
Event-based Gesture Recognition with Dynamic Background Suppression using Smartphone Computational Capabilities. CoRR abs/1811.07802 (2018) - [i6]Laurent Dardelet, Sio-Hoi Ieng, Ryad Benosman:
Event-Based Features Selection and Tracking from Intertwined Estimation of Velocity and Generative Contours. CoRR abs/1811.07839 (2018) - [i5]T. Leroux, Sio-Hoi Ieng, Ryad Benosman:
Event-Based Structured Light for Depth Reconstruction using Frequency Tagged Light Patterns. CoRR abs/1811.10771 (2018) - [i4]Himanshu Akolkar, Sio-Hoi Ieng, Ryad Benosman:
See before you see: Real-time high speed motion prediction using fast aperture-robust event-driven visual flow. CoRR abs/1811.11135 (2018) - 2017
- [j24]Xavier Lagorce, Garrick Orchard, Francesco Galluppi, Bertram E. Shi, Ryad Benosman:
HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1346-1359 (2017) - [j23]Quentin Sabatier, Sio-Hoi Ieng, Ryad Benosman:
Asynchronous Event-Based Fourier Analysis. IEEE Trans. Image Process. 26(5): 2192-2202 (2017) - [j22]Zhaohui Wu, Ryad Benosman, Huajin Tang, Shih-Chii Liu:
Guest Editorial Learning in Neuromorphic Systems and Cyborg Intelligence. IEEE Trans. Neural Networks Learn. Syst. 28(4): 774-777 (2017) - [c41]Michela Ferron, Nadia Mana, Ornella Mich, Leonardo Badino, Ryad Benosman:
Designing, Implementing and Evaluating Mid-Air Gestures and Speech-Based Interaction. CHItaly 2017: 30:1-30:3 - [c40]Francesco Galluppi, Guillaume Chenegros, Didier Pruneau, Gilles Cordurié, Charlie Galle, Nicolas Oddo, Xavier Lagorce, Christoph Posch, Joël Chavas, Ryad Benosman:
Live demonstration: A stimulation platform for optogenetic and bionic vision restoration. ISCAS 2017: 1 - [c39]Francesco Galluppi, Didier Pruneau, Joël Chavas, Xavier Lagorce, Christoph Posch, Guillaume Chenegros, Gilles Cordurié, Charlie Galle, Nicolas Oddo, Ryad Benosman:
A stimulation platform for optogenetic and bionic vision restoration. ISCAS 2017: 1-4 - [i3]Germain Haessig, Andrew Cassidy, Rodrigo Alvarez-Icaza, Ryad Benosman, Garrick Orchard:
Spiking Optical Flow for Event-based Sensors Using IBM's TrueNorth Neurosynaptic System. CoRR abs/1710.09820 (2017) - 2015
- [j21]Himanshu Akolkar, Cedric Meyer, Xavier Clady, Olivier Marre, Chiara Bartolozzi, Stefano Panzeri, Ryad Benosman:
What Can Neuromorphic Event-Driven Precise Timing Add to Spike-Based Pattern Recognition? Neural Comput. 27(3): 561-593 (2015) - [j20]Zhenjiang Ni, Sio-Hoi Ieng, Christoph Posch, Stéphane Régnier, Ryad Benosman:
Visual Tracking Using Neuromorphic Asynchronous Event-Based Cameras. Neural Comput. 27(4): 925-953 (2015) - [j19]Xavier Lagorce, Ryad Benosman:
STICK: Spike Time Interval Computational Kernel, a Framework for General Purpose Computation Using Neurons, Precise Timing, Delays, and Synchrony. Neural Comput. 27(11): 2261-2317 (2015) - [j18]Xavier Clady, Sio-Hoi Ieng, Ryad Benosman:
Asynchronous event-based corner detection and matching. Neural Networks 66: 91-106 (2015) - [j17]Garrick Orchard, Cedric Meyer, Ralph Etienne-Cummings, Christoph Posch, Nitish V. Thakor, Ryad Benosman:
HFirst: A Temporal Approach to Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2028-2040 (2015) - [j16]Xavier Lagorce, Cedric Meyer, Sio-Hoi Ieng, David Filliat, Ryad Benosman:
Asynchronous Event-Based Multikernel Algorithm for High-Speed Visual Features Tracking. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1710-1720 (2015) - [j15]David Reverter Valeiras, Xavier Lagorce, Xavier Clady, Chiara Bartolozzi, Sio-Hoi Ieng, Ryad Benosman:
An Asynchronous Neuromorphic Event-Driven Visual Part-Based Shape Tracking. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3045-3059 (2015) - [c38]Himanshu Akolkar, David Reverter Valeiras, Ryad Benosman, Chiara Bartolozzi:
Visual-auditory saliency detection using event-driven visual sensors. EBCCSP 2015: 1-6 - [c37]Moritz B. Milde, Olivier J. N. Bertrand, Ryad Benosman, Martin Egelhaaf, Elisabetta Chicca:
Bioinspired event-driven collision avoidance algorithm based on optic flow. EBCCSP 2015: 1-7 - [c36]Garrick Orchard, Xavier Lagorce, Christoph Posch, Steve B. Furber, Ryad Benosman, Francesco Galluppi:
Live demonstration: Real-time event-driven object recognition on SpiNNaker. ISCAS 2015: 1903 - [c35]Garrick Orchard, Xavier Lagorce, Christoph Posch, Steve B. Furber, Ryad Benosman, Francesco Galluppi:
Real-time event-driven spiking neural network object recognition on the SpiNNaker platform. ISCAS 2015: 2413-2416 - [i2]Xavier Lagorce, Ryad Benosman:
STICK: Spike Time Interval Computational Kernel, A Framework for General Purpose Computation using Neurons, Precise Timing, Delays, and Synchrony. CoRR abs/1507.06222 (2015) - [i1]Garrick Orchard, Cedric Meyer, Ralph Etienne-Cummings, Christoph Posch, Nitish V. Thakor, Ryad Benosman:
HFirst: A Temporal Approach to Object Recognition. CoRR abs/1508.01176 (2015) - 2014
- [j14]Sio-Hoi Ieng, Christoph Posch, Ryad Benosman:
Asynchronous Neuromorphic Event-Driven Image Filtering. Proc. IEEE 102(10): 1485-1499 (2014) - [j13]Ryad Benosman, Charles Clercq, Xavier Lagorce, Sio-Hoi Ieng, Chiara Bartolozzi:
Event-Based Visual Flow. IEEE Trans. Neural Networks Learn. Syst. 25(2): 407-417 (2014) - [c34]Zhenjiang Ni, Munan Yin, Cécile Pacoret, Ryad Benosman, Stéphane Régnier:
First high speed simultaneous force feedback for multi-trap optical tweezers. AIM 2014: 7-12 - [c33]Xavier Lagorce, Cedric Meyer, Sio-Hoi Ieng, David Filliat, Ryad Benosman:
Live demonstration: Neuromorphic event-based multi-kernel algorithm for high speed visual features tracking. BioCAS 2014: 178 - [c32]Hanme Kim, Ankur Handa, Ryad Benosman, Sio-Hoi Ieng, Andrew J. Davison:
Simultaneous Mosaicing and Tracking with an Event Camera. BMVC 2014 - [c31]Luis A. Camuñas-Mesa, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Sio-Hoi Ieng, Ryad Benosman:
Event-driven stereo vision with orientation filters. ISCAS 2014: 257-260 - [c30]Garrick Orchard, Daniel Matolin, Xavier Lagorce, Ryad Benosman, Christoph Posch:
Accelerated frame-free time-encoded multi-step imaging. ISCAS 2014: 2644-2647 - 2013
- [j12]Fengchun Dong, Sio-Hoi Ieng, Xavier Savatier, Ralph Etienne-Cummings, Ryad Benosman:
Plenoptic cameras in real-time robotics. Int. J. Robotics Res. 32(2): 206-217 (2013) - [j11]João Carneiro, Sio-Hoi Ieng, Christoph Posch, Ryad Benosman:
Event-based 3D reconstruction from neuromorphic retinas. Neural Networks 45: 27-38 (2013) - [c29]Garrick Orchard, Ryad Benosman, Ralph Etienne-Cummings, Nitish V. Thakor:
A spiking neural network architecture for visual motion estimation. BioCAS 2013: 298-301 - [c28]Zhenjiang Ni, Cécile Pacoret, Ryad Benosman, Stéphane Régnier:
2D high speed force feedback teleoperation of optical tweezers. ICRA 2013: 1700-1705 - [c27]Xavier Lagorce, Sio-Hoi Ieng, Ryad Benosman:
Event-based features for robotic vision. IROS 2013: 4214-4219 - [c26]Teresa Serrano-Gotarredona, Jongkil Park, Alejandro Linares-Barranco, Angel Jiménez-Fernandez, Ryad Benosman, Bernabé Linares-Barranco:
Improved contrast sensitivity DVS and its application to event-driven stereo vision. ISCAS 2013: 2420-2423 - 2012
- [j10]Stephen J. Maybank, Sio-Hoi Ieng, Ryad Benosman:
A Fisher-Rao Metric for Paracatadioptric Images of Lines. Int. J. Comput. Vis. 99(2): 147-165 (2012) - [j9]Ryad Benosman, Sio-Hoi Ieng, Charles Clercq, Chiara Bartolozzi, Mandyam V. Srinivasan:
Asynchronous frameless event-based optical flow. Neural Networks 27: 32-37 (2012) - [j8]Paul Rogister, Ryad Benosman, Sio-Hoi Ieng, Patrick Lichtsteiner, Tobi Delbrück:
Asynchronous Event-Based Binocular Stereo Matching. IEEE Trans. Neural Networks Learn. Syst. 23(2): 347-353 (2012) - [j7]Zhenjiang Ni, Aude Bolopion, Joël Agnus, Ryad Benosman, Stéphane Régnier:
Asynchronous Event-Based Visual Shape Tracking for Stable Haptic Feedback in Microrobotics. IEEE Trans. Robotics 28(5): 1081-1089 (2012) - [c25]Aude Bolopion, Zhenjiang Ni, Joël Agnus, Ryad Benosman, Stéphane Régnier:
Stable haptic feedback based on a dynamic vision sensor for microrobotics. IROS 2012: 3203-3208 - [c24]David Filliat, Emmanuel Battesti, Stéphane Bazeille, Guillaume Duceux, Alexander Gepperth, Lotfi Harrath, Islem Jebari, Rafael Pereira, Adriana Tapus, Cedric Meyer, Sio-Hoi Ieng, Ryad Benosman, Eddy Cizeron, Jean-Charles Mamanna, Benoit Pothier:
RGBD object recognition and visual texture classification for indoor semantic mapping. TePRA 2012: 127-132 - 2011
- [j6]Ryad Benosman, Sio-Hoi Ieng, Paul Rogister, Christoph Posch:
Asynchronous Event-Based Hebbian Epipolar Geometry. IEEE Trans. Neural Networks 22(11): 1723-1734 (2011) - [c23]Chiara Bartolozzi, Charles Clercq, Neeraj K. Mandloi, Francesco Rea, Giacomo Indiveri, Daniel Bernhard Fasnacht, Giorgio Metta, Michael Hofstätter, Ryad Benosman:
eMorph: Towards Neuromorphic Robotic Vision. FET 2011: 163-165 - 2010
- [p1]Thibaud Debaecker, Ryad Benosman, Sio-Hoi Ieng:
Image Sensor Model Using Geometric Algebra: From Calibration to Motion Estimation. Geometric Algebra Computing 2010: 277-297
2000 – 2009
- 2009
- [j5]Richard Chang, Sio-Hoi Ieng, Ryad Benosman:
Auto-organized visual perception using distributed camera network. Robotics Auton. Syst. 57(11): 1075-1082 (2009) - [c22]Loïc Lachèze, Yan Guo, Ryad Benosman, Bruno Gas, Charlie Couverture:
Audio/video fusion for objects recognition. IROS 2009: 652-657 - 2008
- [c21]Vincent Guitteny, Ryad Benosman, Christophe Charbuillet:
Synchronizing Video Sequences from Temporal Epipolar Lines Analysis. ACIVS 2008: 346-355 - [c20]Richard Chang, Sio-Hoi Ieng, Ryad Benosman:
Synchronization Using Shapes. BMVC 2008: 1-10 - [c19]Richard Chang, Sio-Hoi Ieng, Ryad Benosman:
Shapes to synchronize camera networks. ICPR 2008: 1-4 - [c18]Loïc Lachèze, Ryad Benosman:
Image sampling for localization using entropy. ICPR 2008: 1-4 - [c17]Richard Chang, Sio-Hoi Ieng, Ryad Benosman:
Using structures to synchronize cameras of robots swarms. IROS 2008: 3266-3271 - [c16]Loïc Lachèze, Ryad Benosman, Jean-Arcady Meyer:
Integration of an Omnidirectional Visual System with the Control Architecture of Psikharpax. SAB 2008: 42-51 - 2007
- [c15]Hugo Romero, Sergio Salazar, Rogelio Lozano, Ryad Benosman:
Real-time visual servoing control of a four-rotor rotorcraft. ALCOSP 2007: 209-214 - [c14]Loïc Lachèze, Ryad Benosman:
Visual localization using an optimal sampling of bags-of-features with entropy applied to repeatable test methods. IROS 2007: 1332-1338 - 2006
- [j4]Laurent Smadja, Ryad Benosman, Jean Devars:
Hybrid Stereo Configurations Through a Cylindrical Sensor Calibration. Mach. Vis. Appl. 17(4): 251-264 (2006) - [c13]Hugo Romero, Ryad Benosman, Rogelio Lozano:
Stabilization and location of a four rotor helicopter applying vision. ACC 2006: 1-6 - 2004
- [c12]Laurent Smadja, Ryad Benosman, Jean Devars:
Cylindrical sensor calibration using lines. ICIP 2004: 1851-1854 - [c11]Sio-Hoi Ieng, Ryad Benosman:
Geometric construction of the caustic curves for catadioptric sensors. ICIP 2004: 3387-3390 - [c10]Jerome Douret, Ryad Benosman:
A Multi-Cameras 3D Volumetric Method for Outdoor Scenes : A Road Traffic Monitoring Application. ICPR (3) 2004: 334-337 - 2003
- [j3]Hiroshi Ishiguro, Ryad Benosman:
Special issue on omnidirectional vision and its applications. Mach. Vis. Appl. 14(2): 83-84 (2003) - [c9]Sio-Hoi Ieng, Ryad Benosman, Jean Devars:
An Efficient Dynamic Multi-Angular Feature Points Matcher for Catadioptric Views. CVPR Workshops 2003: 75 - 2002
- [c8]Jerome Douret, Ryad Benosman, Salah Bouzar, Jean Devars:
Localization of Robots in F180 League Using Projective Geometry. RoboCup 2002: 312-318 - 2001
- [c7]Ryad Benosman, Jerome Douret, Jean Devars:
A Simple and Accurate Camera Calibration for the F180 RoboCup League. RoboCup 2001: 275-280 - [c6]Francis Bras, Ryad Benosman, André Anglade, Seko Latidine, Olivier Martino, Aude Lagardere, Alain Boun, Alain Testa, Gilles Cordurié:
RoboCup 2001 (F180) Team Description: RoboSix UPMC-CFA (France). RoboCup 2001: 583-586 - [c5]Ryad Benosman, Francis Bras, Frederic Bach, Simon Boulay, Emmanuelle Cahn, Sylvain Come, Gilles Cordurié, Jarlegan Marie Annick, Lapied Loic, Cyrille Potereau, Franck Richard, Samedi Sath, Xavier Vasseur, Pascal Vincent:
ROBOSIX UPMC-CFA: RoboCup Team Description. RoboCup 2001: 665-668 - 2000
- [c4]Jerome Douret, Thierry Dorval, Ryad Benosman, Francis Bras, Gael Surtet, Thomas Petit, Nadege Quedec, Denis Philip, Gilles Cordurié, Mario Rebello, Didier Abraham, Nicolas Couder, Marco Marcon:
RoboCup 2000 (F180) Team Description: UPMC-CFA Team (France). RoboCup 2000: 531-534
1990 – 1999
- 1998
- [j2]Thierry Manière, Ryad Benosman, Claude Gastaud, Jean Devars:
Vision system dedicated to panoramic three-dimensional scene reconstruction. J. Electronic Imaging 7(3): 672-676 (1998) - [j1]Ryad Benosman, Thierry Manière, Jean Devars:
Panoramic sensor calibration. Pattern Recognit. Lett. 19(5-6): 483-490 (1998) - [c3]Ryad Benosman, Jean Devars:
Panoramic stereo vision sensor. ICPR 1998: 767-769 - 1997
- [c2]Ryad Benosman, Thierry Manière, Jean Devars:
Panoramic sensor calibration using computational projective geometry. ICRA 1997: 1353-1358 - 1996
- [c1]Ryad Benosman, Thierry Manière, Jean Devars:
Multidirectional stereovision sensor, calibration and scenes reconstruction. ICPR 1996: 161-165