Patent
Method for image analysis
Carl Magnus Wrenninge,Carl Jonas Magnus Unger +1 more
- 23 May 2019
14
TL;DR: In this article, a method for synthetic data generation and analysis including determining a set of parameter values, generating a scene based on the parameter values and rendering a synthetic image of the scene was proposed.
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Abstract: A method for synthetic data generation and analysis including: determining a set of parameter values; generating a scene based on the parameter values; rendering a synthetic image of the scene; and generating a synthetic dataset including a set of synthetic images.
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Citations
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Training machine learning models
Tatiana Surazhsky,Leonid Bobovich,Michael Kemelmakher,Ran Moshe Bittmann +3 more
- 20 Sep 2018
TL;DR: In this article, the authors provided a system that may include a processor and a memory, where the memory may be configured to store instructions that results in operations when executed by the processor.
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Patent
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Jonathan Tremblay,Aayush Prakash,Mark Brophy,Varun Jampani,Cem Anil,Birchfield Stanley Thomas,Thang To,Acuna Marrero David Jesus +7 more
- 15 Aug 2019
TL;DR: In this article, a domain randomization technique is used to generate training data that is automatically labeled, which can be used to train neural networks for object detection and segmentation tasks.
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Generating training data for a machine learning classifier
Connell Trebor Lee,Shalev Emanuel,Ebstyne Michael John,Kim Don Dongwoo +3 more
- 12 Dec 2019
TL;DR: In this paper, the original scene is modified in different ways to create new scenes that are based on the original scenes, such as adding clutter to the scene, moving one or more elements of the scene.
1
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Multi-stage image recognition for a non-ideal environment
Jiang Wei,Wang Wei +1 more
- 16 Apr 2020
TL;DR: In this article, a second deep neural network is trained on subcategory customization data that relates to a non-ideal environment when the second deep network produces invalid subcategorized object data from the categorized object data, and generates an image recognition result using the second neural network as trained.
1
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Systems and methods for reducing data storage in machine learning
Mabuchi Mitsuhiro
- 19 Sep 2019
TL;DR: In this paper, the authors proposed a method to reduce the amount of data storage and/or processing power necessary for training data for machine learning by replacing 3D models with a plurality of 2D images.
1
References
Patent
Image Synthesis Methods and Systems
Alexander Keller
- 18 Aug 2006
TL;DR: In this article, a system and computer-implemented methods for evaluating integrals using quasi-Monte Carlo methodologies, and in particular, adaptive quasi-monte Carlo integration and adaptive integro- approximation in conjunction with techniques including a scrambled Halton Sequence, stratification by radical inversion, stratified samples from the Halton sequence, deterministic scrambling, bias elimination by randomization, adaptive and deterministic anti-aliasing, antialiasing by rank-1 lattices, and trajectory splitting by dependent sampling and rank- 1 lattices.
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Patent
Deep-learning network architecture for object detection
Balaji Krishnamurthy,Mausoom Sarkar +1 more
- 15 May 2018
TL;DR: In this article, a heat map is generated using the representations of the query object and the visual medium to identify a location of pixels corresponding to a query object within a visual medium and is usable to generate an updated visual medium highlighting the query objects.
28
Patent
Cyclic generative adversarial network for unsupervised cross-domain image generation
Choi Wongun,Schulter Samuel,Sohn Kihyuk,Chandraker Manmohan +3 more
- 25 Oct 2018
TL;DR: In this paper, a cross-domain image generation system is proposed for unsupervised image generation relative to a first and second image domain that each include real images, where a first generator generates synthetic images similar to real images in the second domain while including a semantic content of real image in the first domain.
17
Patent
Computer graphics with enumerating qmc sequences in voxels
Matthias Raab,Leonhard Grunschloss,Juri Abramov,Alexander Keller +3 more
- 30 Sep 2008
TL;DR: In this article, a system and computer-implemented methods for evaluating integrals using quasi-Monte Carlo methodologies, and in particular, adaptive quasi-monte Carlo integration and adaptive integro-approximation in conjunction with techniques including a scrambled Halton sequence, stratification by radical inversion, stratified samples from the Halton Sequence, deterministic scrambling, bias elimination by randomization, adaptive and deterministic anti-aliasing, antialiasing by rank-1 lattices, and trajectory splitting by dependent sampling.
11
Patent
System and process for improved sampling for parallel light transport simulation
Carsten Wächter,Alexander Keller +1 more
- 03 May 2012
TL;DR: In this paper, a deterministic parallel low discrepancy sampling method is proposed to remove transitionary artifacts that occur in low-dimensional projections generated in low discrepancy sequences, which can be used for image synthesis.
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