Cyril Zeller

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7ranked-venue papers

1as first author

0since 2021 · last 2019

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-authorSystems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems 1 paper		High-performance computing · 61% Parallel and multicore computing · 30% Performance modeling and evaluation · 9%
Artificial intelligence 1 paper		3D vision · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
High-performance computing application porting	0.4	1	2019	Preparation and optimization of a diverse workload for a large-scale heterogeneous system · SC 2019
Parallel and multicore computing programming models	0.4	1	2019	Preparation and optimization of a diverse workload for a large-scale heterogeneous system · SC 2019
Performance modeling and evaluation benchmarking	0.1	1	2019	Preparation and optimization of a diverse workload for a large-scale heterogeneous system · SC 2019
Computer vision › 3D vision structure from motion	0.0	1	1996	Using collineations to compute motion and structure in an uncalibrated image sequence · Int. J. Comput. Vis. 1996

Year	Publication	Venue	Position
2019	Preparation and optimization of a diverse workload for a large-scale heterogeneous system abstract Productivity from day one on supercomputers that leverage new technologies requires significant preparation. An institution that procures a novel system architecture often lacks sufficient institutional knowledge and skills to prepare for it. Thus, the "Center of Excellence" (CoE) concept has emerged to prepare for systems such as Summit and Sierra, currently the top two systems in the Top 500. This paper documents CoE experiences that prepared a workload of diverse applications and math libraries for a heterogeneous system. We describe our approach to this preparation, including our management and execution strategies, and detail our experiences with and reasons for using different programming approaches. Our early science and performance results show that the project enabled significant early seismic science with up to a l4X throughput increase over Cori. In addition to our successes, we discuss our challenges and failures so others may benefit from our experience. Ian Karlin, Yoonho Park, Bronis R. de Supinski, Bert Still, D. A. Beckingsale, Robert Blake, Tong Chen 0001, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steve H. Langer, Hai Le, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger A. Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz 0001, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz	SC	78
1998	3-D Reconstruction of Urban Scenes from Image Sequences Olivier D. Faugeras, Luc Robert, Stéphane Laveau, Gabriela Csurka, Cyril Zeller, Cyrille Gauclin, Imad Zoghlami	Comput. Vis. Image Underst.	5
1997	Characterizing the Uncertainty of the Fundamental Matrix Gabriela Csurka, Cyril Zeller, Zhengyou Zhang, Olivier D. Faugeras	Comput. Vis. Image Underst.	2
1996	REALISE: reconstruction of REALity from Image SEquences abstract REALISE was designed to extract from sequences of images, acquired with a moving camera, the information necessary for determining the 3D (CAD-like) structure of a real-life scene together with information about the radiometric signatures of surfaces bounding the extracted 3D objects (e.g. reflectance behaviour). The retrieved information is then integrated in a virtual reality (VR) software environment. The R&D work is been performed principally in the following areas of computer vision and computer graphics: structure from motion, recovery of geometries, recovery of photometric and texture information, highly realistic rendering on the basis of empirically-based reflectance models, and the design and development of improved rendering processes together with a new VR system. Beside this innovative R&D work another key aspect of REALISE is to have computer vision & computer graphics cooperate to produce realistic 3D data efficiently. Frederic Fol Leymarie, Arnaud de La Fortelle, Jan J. Koenderink, Astrid M. L. Kappers, Marigo Stavridi, Bram van Ginneken, S. Krake, Olivier D. Faugeras, Luc Robert, Cyrille Gauclin, Stéphane Laveau, Cyril Zeller	ICIP (3)	13
1996	Using collineations to compute motion and structure in an uncalibrated image sequence Thierry Viéville, Cyril Zeller, Luc Robert	Int. J. Comput. Vis.	2
1994	Recovering motion and structure from a set of planar patches in an uncalibrated image sequence abstract Addresses the well-known problem of estimating the motion and structure of a plane, but in the case where the visual system is not calibrated and in an unbounded monocular image sequence. The authors first define plane collineations and analyse some of their properties when utilized to analyse the retinal motion in an uncalibrated image sequence. The authors show how to relate them to the Euclidian parameters of the scene. In particular, the authors discuss how to detect and estimate the collineation of the plane at infinity and use this quantity for auto-calibration. Thierry Viéville, Cyril Zeller, Luc Robert	ICPR (1)	2
1994	Applications of non-metric vision to some visual guided tasks abstract Presents a stratification of geometric information available from stereovision in three levels: Euclidean, affine and projective, depending upon the kind of calibration that has been obtained for the stereo rig. The authors then focus on the last two levels: they show how affine calibration can be achieved from real images without the need of calibration patterns and how to use projective and affine information to determine, for example, whether an obstacle is coming too close to the stereo rig or the middle of a corridor or a road. Cyril Zeller, Olivier D. Faugeras	ICPR (1)	1