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Fitting geometric models onto outlier contaminated data is provably intractable.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Martin A Fischler and Robert C Bolles · 1981
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Neil Robertson and Paul D Seymour · 1995
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Optimal point placement for mesh smoothing
Nina Amenta, Marshall Bern, and David Eppstein · 1999
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Quantum computation by adiabatic evolution
Edward Farhi, Jeffrey Goldstone, Sam Gutmann, and Michael Sipser · 2000
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Mlesac: A new robust estimator with application to estimating image geometry
Philip HS Torr and Andrew Zisserman · 2000
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Locally optimized ransac
Ondřej Chum, Jiří Matas, and Josef Kittler · 2003
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Storing, processing, and retrieving an image using quantum mechanics
Salvador E Venegas-Andraca and Sougato Bose · 2003
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Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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Multiple View Geometry in Computer Vision
Richard Hartley and Andrew Zisserman · 2004
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Beyond pairwise clustering
Sameer Agarwal, Jongwoo Lim, Lihi Zelnik-Manor, Pietro Perona, David Kriegman, and Serge Belongie · 2005
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Quasiconvex programming
David Eppstein · 2005
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Numerical optimization
Jorge Nocedal and Stephen Wright · 2006
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Multiple-view geometry under the
Fredrik Kahl and Richard Hartley · 2008
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A polynomial-time bound for matching and registration with outliers
Carl Olsson, Olof Enqvist, and Fredrik Kahl · 2008
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Consensus set maximization with guaranteed global optimality for robust geometry estimation
Hongdong Li · 2009
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Nips 2009 demonstration: Binary classification using hardware implementation of quantum annealing
Harmut Neven, Vasil S Denchev, Marshall Drew-Brook, Jiayong Zhang, William G Macready, and Geordie Rose · 2009
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Non-sequential structure from motion
Olof Enqvist, Fredrik Kahl, and Carl Olsson · 2011
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Simultaneous sampling and multi-structure fitting with adaptive reversible jump mcmc
Trung Pham, Tat-Jun Chin, Jin Yu, and David Suter · 2011
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Image processing using quantum computing
Simona Caraiman and Vasile Manta · 2012
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Fixing the locally optimized ransac–full experimental evaluation
Karel Lebeda, Jirı Matas, and Ondrej Chum · 2012
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Efficient structure detection via random consensus graph
Hairong Liu and Shuicheng Yan · 2012
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Qboost: Large scale classifier training withadiabatic quantum optimization
Hartmut Neven, Vasil S Denchev, Geordie Rose, and William G Macready · 2012
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Hypergraph Theory: An Introduction
Alain Bretto · 2013
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A practical heuristic for finding graph minors
Jun Cai, William G Macready, and Aidan Roy · 2014
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Sampling minimal subsets with large spans for robust estimation
Quoc Huy Tran, Tat-Jun Chin, Wojciech Chojnacki, and David Suter · 2014
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Efficient globally optimal consensus maximisation with tree search
Tat-Jun Chin, Pulak Purkait, Anders Eriksson, and David Suter · 2015
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Guaranteed outlier removal for rotation search
Alvaro Parra Bustos and Tat-Jun Chin · 2015
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Fast clique minor generation in chimera qubit connectivity graphs
Tomas Boothby, Andrew D King, and Aidan Roy · 2016
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Clustering with hypergraphs: the case for large hyperedges
Pulak Purkait, Tat-Jun Chin, Alireza Sadri, and David Suter · 2016
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A survey of quantum image representations
Fei Yan, Abdullah M Iliyasu, and Salvador E Venegas-Andraca · 2016
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Dsac-differentiable ransac for camera localization
Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, and Carsten Rother · 2017
Efficient algorithms for maximum consensus robust fitting
Fei Wen, Rendong Ying, Zheng Gong, and Peilin Liu · 2019
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Magsac++, a fast, reliable and accurate robust estimator
Daniel Barath, Jana Noskova, Maksym Ivashechkin, and Jiri Matas · 2020
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Adiabatic quantum graph matching with permutation matrix constraints
Marcel Seelbach Benkner, Vladislav Golyanik, Christian Theobalt, and Michael Moeller · 2020
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Hybrid quantum-classical algorithms for approximate graph coloring
Sergey Bravyi, Alexander Kliesch, Robert Koenig, and Eugene Tang · 2020
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Quantum robust fitting
Tat-Jun Chin, David Suter, Shin-Fang Ch’ng, and James Quach · 2020
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A quantum computational approach to correspondence problems on point sets
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The maximum consensus problem: recent algorithmic advances
Tat-Jun Chin and David Suter · 2017
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An exact penalty method for locally convergent maximum consensus
Huu Le, Tat-Jun Chin, and David Suter · 2017
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Graph-cut ransac
Daniel Barath and Jiří Matas · 2018
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Deterministic consensus maximization with biconvex programming
Zhipeng Cai, Tat-Jun Chin, Huu Le, and David Suter · 2018
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Robust fitting in computer vision: Easy or hard?
Tat-Jun Chin, Zhipeng Cai, and Frank Neumann · 2018
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Efficient combinatorial optimization using quantum annealing
Hristo N Djidjev, Guillaume Chapuis, Georg Hahn, and Guillaume Rizk · 2018
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Vladislav Golyanik and Christian Theobalt · 2020
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Quantum-soft qubo suppression for accurate object detection
Junde Li and Swaroop Ghosh · 2020
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Monotone boolean functions, feasibility/infeasibility, lp-type problems and maxcon
David Suter, Ruwan Tennakoon, Erchuan Zhang, Tat-Jun Chin, and Alireza Bab-Hadiashar · 2020
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https://www.vlfeat.org/
VLFeat · 2021
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Outlier-robust estimation: Hardness, minimally-tuned algorithms, and applications
Pasquale Antonante, Vasileios Tzoumas, Heng Yang, and Luca Carlone · 2021
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Quantum permutation synchronization
Tolga Birdal, Vladislav Golyanik, Christian Theobalt, and Leonidas J Guibas · 2021
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Attribution-NonCommercial-ShareAlike 3.0 License
Creative Commons · 2021
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D-Wave Problem Inspector
D-Wave Systems, Inc · 2021
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Error Sources for Problem Representation
D-Wave Systems, Inc · 2021
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QPU-specific physical properties: Advantage_system1.1
D-Wave Systems, Inc · 2021
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Solver Properties
D-Wave Systems, Inc · 2021
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What is Quantum Annealing?
D-Wave Systems, Inc · 2021
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https://www.gurobi.com/
Gurobi · 2021
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https://qubovert.readthedocs.io/en/stable/
Joseph T. Iosue · 2021
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Advancing hybrid quantum-classical algorithms via mean-operators
Donggyu Kim, Pureum Noh, Hyun-Yong Lee, and Eun-Gook Moon · 2021
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Deep reinforcement learning for efficient measurement of quantum devices
V Nguyen, SB Orbell, Dominic T Lennon, Hyungil Moon, Florian Vigneau, Leon C Camenzind, Liuqi Yu, Dominik M Zumbühl, G Andrew D Briggs, Michael A Osborne, et al · 2021
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Quantum annealing formulation for binary neural networks
Michele Sasdelli and Tat-Jun Chin · 2021
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Q-match: Iterative shape matching via quantum annealing
Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, and Michael Moeller · 2021
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Consensus maximisation using influences of monotone boolean functions
Ruwan Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, and Alireza Bab-Hadiashar · 2021
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Unsupervised learning for robust fitting: A reinforcement learning approach
Giang Truong, Huu Le, David Suter, Erchuan Zhang, and Syed Zulqarnain Gilani · 2021
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https://www.robots.ox.ac.uk/~vgg/data/
Visual Geometry Group · 2021
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