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Sio-Hoi Ieng
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2020 – today
- 2023
- [c13]Urbano Miguel Nunes, Ryad Benosman, Sio-Hoi Ieng:
Adaptive Global Decay Process for Event Cameras. CVPR 2023: 9771-9780 - [c12]Urbano Miguel Nunes, Laurent Udo Perrinet, Sio-Hoi Ieng:
Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera. ICCV 2023: 23596-23606 - 2022
- [j21]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) - [j20]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) - [i6]Gregor Lenz, Serge Picaud, Sio-Hoi Ieng:
A Framework for Event-based Computer Vision on a Mobile Device. CoRR abs/2205.06836 (2022) - 2021
- [j19]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) - [c11]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
2010 – 2019
- 2019
- [j18]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) - [j17]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) - 2018
- [j16]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) - [j15]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) - [i5]Gregor Lenz, Sio-Hoi Ieng, Ryad Benosman:
Event-based Dynamic Face Detection and Tracking Based on Activity. CoRR abs/1803.10106 (2018) - [i4]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) - [i3]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) - [i2]T. Leroux, Sio-Hoi Ieng, Ryad Benosman:
Event-Based Structured Light for Depth Reconstruction using Frequency Tagged Light Patterns. CoRR abs/1811.10771 (2018) - [i1]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
- [j14]Quentin Sabatier, Sio-Hoi Ieng, Ryad Benosman:
Asynchronous Event-Based Fourier Analysis. IEEE Trans. Image Process. 26(5): 2192-2202 (2017) - 2015
- [j13]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) - [j12]Xavier Clady, Sio-Hoi Ieng, Ryad Benosman:
Asynchronous event-based corner detection and matching. Neural Networks 66: 91-106 (2015) - [j11]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) - [j10]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) - 2014
- [j9]Sio-Hoi Ieng, Christoph Posch, Ryad Benosman:
Asynchronous Neuromorphic Event-Driven Image Filtering. Proc. IEEE 102(10): 1485-1499 (2014) - [j8]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) - [c10]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 - [c9]Hanme Kim, Ankur Handa, Ryad Benosman, Sio-Hoi Ieng, Andrew J. Davison:
Simultaneous Mosaicing and Tracking with an Event Camera. BMVC 2014 - [c8]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 - 2013
- [j7]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) - [j6]João Carneiro, Sio-Hoi Ieng, Christoph Posch, Ryad Benosman:
Event-based 3D reconstruction from neuromorphic retinas. Neural Networks 45: 27-38 (2013) - [c7]Xavier Lagorce, Sio-Hoi Ieng, Ryad Benosman:
Event-based features for robotic vision. IROS 2013: 4214-4219 - 2012
- [j5]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) - [j4]Ryad Benosman, Sio-Hoi Ieng, Charles Clercq, Chiara Bartolozzi, Mandyam V. Srinivasan:
Asynchronous frameless event-based optical flow. Neural Networks 27: 32-37 (2012) - [j3]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) - [c6]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
- [j2]Ryad Benosman, Sio-Hoi Ieng, Paul Rogister, Christoph Posch:
Asynchronous Event-Based Hebbian Epipolar Geometry. IEEE Trans. Neural Networks 22(11): 1723-1734 (2011) - 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
- [j1]Richard Chang, Sio-Hoi Ieng, Ryad Benosman:
Auto-organized visual perception using distributed camera network. Robotics Auton. Syst. 57(11): 1075-1082 (2009) - 2008
- [c5]Richard Chang, Sio-Hoi Ieng, Ryad Benosman:
Synchronization Using Shapes. BMVC 2008: 1-10 - [c4]Richard Chang, Sio-Hoi Ieng, Ryad Benosman:
Shapes to synchronize camera networks. ICPR 2008: 1-4 - [c3]Richard Chang, Sio-Hoi Ieng, Ryad Benosman:
Using structures to synchronize cameras of robots swarms. IROS 2008: 3266-3271 - 2004
- [c2]Sio-Hoi Ieng, Ryad Benosman:
Geometric construction of the caustic curves for catadioptric sensors. ICIP 2004: 3387-3390 - 2003
- [c1]Sio-Hoi Ieng, Ryad Benosman, Jean Devars:
An Efficient Dynamic Multi-Angular Feature Points Matcher for Catadioptric Views. CVPR Workshops 2003: 75
Coauthor Index
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