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You searched for subject:(coarse to fine). Showing records 1 – 9 of 9 total matches.

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Delft University of Technology

1. Lelekas, Ioannis (author). Top-Down Networks: A coarse-to-fine reimagination of CNNs.

Degree: 2020, Delft University of Technology

 Biological vision adopts a coarse-to-fine information processing pathway, from initial visual detection and binding of salient features of a visual scene, to the enhanced and… (more)

Subjects/Keywords: Computer Vision; Deep Learning; Convolutional Neural Networks; Top-Down; Fine-to-Coarse; Coarse-to-Fine; Adversarial attacks; Adversarial robustness; Gradcam; Object localization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lelekas, I. (. (2020). Top-Down Networks: A coarse-to-fine reimagination of CNNs. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:11888a7b-1e54-424d-9daa-8ff48de58345

Chicago Manual of Style (16th Edition):

Lelekas, Ioannis (author). “Top-Down Networks: A coarse-to-fine reimagination of CNNs.” 2020. Masters Thesis, Delft University of Technology. Accessed May 08, 2021. http://resolver.tudelft.nl/uuid:11888a7b-1e54-424d-9daa-8ff48de58345.

MLA Handbook (7th Edition):

Lelekas, Ioannis (author). “Top-Down Networks: A coarse-to-fine reimagination of CNNs.” 2020. Web. 08 May 2021.

Vancouver:

Lelekas I(. Top-Down Networks: A coarse-to-fine reimagination of CNNs. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 May 08]. Available from: http://resolver.tudelft.nl/uuid:11888a7b-1e54-424d-9daa-8ff48de58345.

Council of Science Editors:

Lelekas I(. Top-Down Networks: A coarse-to-fine reimagination of CNNs. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:11888a7b-1e54-424d-9daa-8ff48de58345

2. Honari, Sina. Feature extraction on faces : from landmark localization to depth estimation.

Degree: 2019, Université de Montréal

Subjects/Keywords: Neural networks; Deep learning; Convolutional networks; Supervised learning; Unsupervised learning; Semi-supervised learning; Coarse-to-fine architectures; Landmark localization; Depth estimation; Face rotation; Face replacement; Réseaux neuronaux; Apprentissage profond; Réseaux neuronaux de convolution; Apprentissage supervisé; Apprentissage non-supervisé; Apprentissage semi-supervisé; Architectures grossières à fines; Localisation de points clés; Estimation de la profondeur; Rotation de visage; Échange de visage; Applied Sciences - Artificial Intelligence / Sciences appliqués et technologie - Intelligence artificielle (UMI : 0800)

…83 vii Chapter 6. Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation… …52 Chapter 3. Prologue to First Article… …79 Chapter 5. Prologue to Second Article… …101 Chapter 7. Prologue to Third Article… …135 Chapter 9. Prologue to Fourth Article… 

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APA (6th Edition):

Honari, S. (2019). Feature extraction on faces : from landmark localization to depth estimation. (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/22658

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Honari, Sina. “Feature extraction on faces : from landmark localization to depth estimation.” 2019. Thesis, Université de Montréal. Accessed May 08, 2021. http://hdl.handle.net/1866/22658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Honari, Sina. “Feature extraction on faces : from landmark localization to depth estimation.” 2019. Web. 08 May 2021.

Vancouver:

Honari S. Feature extraction on faces : from landmark localization to depth estimation. [Internet] [Thesis]. Université de Montréal; 2019. [cited 2021 May 08]. Available from: http://hdl.handle.net/1866/22658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Honari S. Feature extraction on faces : from landmark localization to depth estimation. [Thesis]. Université de Montréal; 2019. Available from: http://hdl.handle.net/1866/22658

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Wälivaara, Marcus. General Object Detection Using Superpixel Preprocessing.

Degree: Computer Vision, 2017, Linköping University

  The objective of this master’s thesis work is to evaluate the potential benefit of a superpixel preprocessing step for general object detection in a… (more)

Subjects/Keywords: superpixels; SLIC; coarse-to-fine; segmentation; general object detection; cityscapes; traffic; image processing; clustering; Computer Vision and Robotics (Autonomous Systems); Datorseende och robotik (autonoma system)

…the use of a coarse-to-fine approach. The pixels are iteratively assigned to superpixels… …superpixels while retaining high speed. In this thesis, the potential use of a coarse-to-fine update… …algorithm as well as a coarse-to-fine energy optimisation algorithm akin to [22] and… …its simplicity and performance. 2. Coarse-To-Fine Superpixel Segmentation (CTF)… …A modified version the coarse-to-fine block update algorithms presented in [22, 24… 

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APA (6th Edition):

Wälivaara, M. (2017). General Object Detection Using Superpixel Preprocessing. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140874

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wälivaara, Marcus. “General Object Detection Using Superpixel Preprocessing.” 2017. Thesis, Linköping University. Accessed May 08, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140874.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wälivaara, Marcus. “General Object Detection Using Superpixel Preprocessing.” 2017. Web. 08 May 2021.

Vancouver:

Wälivaara M. General Object Detection Using Superpixel Preprocessing. [Internet] [Thesis]. Linköping University; 2017. [cited 2021 May 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140874.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wälivaara M. General Object Detection Using Superpixel Preprocessing. [Thesis]. Linköping University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140874

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. Rui de Moraes Júnior. Lateralidade e curso temporal do processamento de frequências espaciais na codificação de faces.

Degree: 2016, University of São Paulo

 O sinal de entrada na retina é decomposto em termos de frequência espacial (FE), variações periódicas de luminância ao longo do espaço. Existe vasta literatura… (more)

Subjects/Keywords: Coarse-to-fine; Face perception; Hemispheric specialization; Spatial frequency

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APA (6th Edition):

Júnior, R. d. M. (2016). Lateralidade e curso temporal do processamento de frequências espaciais na codificação de faces. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/59/59134/tde-11022016-103811/

Chicago Manual of Style (16th Edition):

Júnior, Rui de Moraes. “Lateralidade e curso temporal do processamento de frequências espaciais na codificação de faces.” 2016. Doctoral Dissertation, University of São Paulo. Accessed May 08, 2021. http://www.teses.usp.br/teses/disponiveis/59/59134/tde-11022016-103811/.

MLA Handbook (7th Edition):

Júnior, Rui de Moraes. “Lateralidade e curso temporal do processamento de frequências espaciais na codificação de faces.” 2016. Web. 08 May 2021.

Vancouver:

Júnior RdM. Lateralidade e curso temporal do processamento de frequências espaciais na codificação de faces. [Internet] [Doctoral dissertation]. University of São Paulo; 2016. [cited 2021 May 08]. Available from: http://www.teses.usp.br/teses/disponiveis/59/59134/tde-11022016-103811/.

Council of Science Editors:

Júnior RdM. Lateralidade e curso temporal do processamento de frequências espaciais na codificação de faces. [Doctoral Dissertation]. University of São Paulo; 2016. Available from: http://www.teses.usp.br/teses/disponiveis/59/59134/tde-11022016-103811/

5. Kauffmann, Louise. Mécanismes et bases cérébrales du traitement des fréquences spatiales lors de la catégorisation de scènes visuelles : The neural bases of spatial frequency processing during visual scene categorization.

Degree: Docteur es, Sciences cognitives, psychologie et neurocognition, 2015, Université Grenoble Alpes (ComUE)

L'analyse visuelle de scènes débute par l'extraction en parallèle de l'information à différentes fréquences spatiales, en suivant un mode de traitement par défaut « coarse-to-fine(more)

Subjects/Keywords: Scènes naturelles; Fréquences spatiales; Coarse-To-Fine; IRMf; Natural scenes; Spatial frequencies; Coarse-To-Fine; Fmri; 150

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kauffmann, L. (2015). Mécanismes et bases cérébrales du traitement des fréquences spatiales lors de la catégorisation de scènes visuelles : The neural bases of spatial frequency processing during visual scene categorization. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2015GREAS047

Chicago Manual of Style (16th Edition):

Kauffmann, Louise. “Mécanismes et bases cérébrales du traitement des fréquences spatiales lors de la catégorisation de scènes visuelles : The neural bases of spatial frequency processing during visual scene categorization.” 2015. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed May 08, 2021. http://www.theses.fr/2015GREAS047.

MLA Handbook (7th Edition):

Kauffmann, Louise. “Mécanismes et bases cérébrales du traitement des fréquences spatiales lors de la catégorisation de scènes visuelles : The neural bases of spatial frequency processing during visual scene categorization.” 2015. Web. 08 May 2021.

Vancouver:

Kauffmann L. Mécanismes et bases cérébrales du traitement des fréquences spatiales lors de la catégorisation de scènes visuelles : The neural bases of spatial frequency processing during visual scene categorization. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2015. [cited 2021 May 08]. Available from: http://www.theses.fr/2015GREAS047.

Council of Science Editors:

Kauffmann L. Mécanismes et bases cérébrales du traitement des fréquences spatiales lors de la catégorisation de scènes visuelles : The neural bases of spatial frequency processing during visual scene categorization. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2015. Available from: http://www.theses.fr/2015GREAS047

6. Gubbels, R. Text Detection using Coarse detection and SVM Classification.

Degree: 2014, Universiteit Utrecht

 In this paper a new approach to detect text in natural images is described using different detection methods. The end result will be that the… (more)

Subjects/Keywords: Text detection; Histogram of Orientated Gradients; Coarse-to-fine schema; Support Vector Machines; thresholds

…complexity and contrast levels. Also a coarse-to-fine detection schema is used in order to detect… …coarse-to-fine detection schema [4] can be used in order to find decent results, very… …introduction a coarse-to-fine pipeline is introduced. The reason for using a coarse-to-fine pipeline… …found in this approach. The main contribution of this paper is a coarse-to-fine detection… …CoHoG feature descriptor can be used for different purposes. A strength of the coarse-to-fine… 

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APA (6th Edition):

Gubbels, R. (2014). Text Detection using Coarse detection and SVM Classification. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/296615

Chicago Manual of Style (16th Edition):

Gubbels, R. “Text Detection using Coarse detection and SVM Classification.” 2014. Masters Thesis, Universiteit Utrecht. Accessed May 08, 2021. http://dspace.library.uu.nl:8080/handle/1874/296615.

MLA Handbook (7th Edition):

Gubbels, R. “Text Detection using Coarse detection and SVM Classification.” 2014. Web. 08 May 2021.

Vancouver:

Gubbels R. Text Detection using Coarse detection and SVM Classification. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2021 May 08]. Available from: http://dspace.library.uu.nl:8080/handle/1874/296615.

Council of Science Editors:

Gubbels R. Text Detection using Coarse detection and SVM Classification. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/296615


University of Wolverhampton

7. Aziz, Wilker Ferreira. Exact sampling and optimisation in statistical machine translation.

Degree: PhD, 2014, University of Wolverhampton

 In Statistical Machine Translation (SMT), inference needs to be performed over a high-complexity discrete distribution de ned by the intersection between a translation hypergraph and… (more)

Subjects/Keywords: 418.020285635; statistical machine translation; exact inference; optimisation; sampling; coarse-to-fine search; decoding

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APA (6th Edition):

Aziz, W. F. (2014). Exact sampling and optimisation in statistical machine translation. (Doctoral Dissertation). University of Wolverhampton. Retrieved from http://hdl.handle.net/2436/314591

Chicago Manual of Style (16th Edition):

Aziz, Wilker Ferreira. “Exact sampling and optimisation in statistical machine translation.” 2014. Doctoral Dissertation, University of Wolverhampton. Accessed May 08, 2021. http://hdl.handle.net/2436/314591.

MLA Handbook (7th Edition):

Aziz, Wilker Ferreira. “Exact sampling and optimisation in statistical machine translation.” 2014. Web. 08 May 2021.

Vancouver:

Aziz WF. Exact sampling and optimisation in statistical machine translation. [Internet] [Doctoral dissertation]. University of Wolverhampton; 2014. [cited 2021 May 08]. Available from: http://hdl.handle.net/2436/314591.

Council of Science Editors:

Aziz WF. Exact sampling and optimisation in statistical machine translation. [Doctoral Dissertation]. University of Wolverhampton; 2014. Available from: http://hdl.handle.net/2436/314591

8. Mobahi, Hossein. Optimization by Gaussian smoothing with application to geometric alignment.

Degree: PhD, 0112, 2013, University of Illinois – Urbana-Champaign

 It is well-known that global optimization of a nonconvex function, in general, is computationally intractable. Nevertheless, many objective functions that we need to optimize may… (more)

Subjects/Keywords: Nonconvex Optimization; Homotopy Continuation; Image Alignment; Point Cloud Alignment; Coarse-to-fine Optimization

…and Schrodinger (bottom) equations. Time progression is from left to right… …k( . ; σ 2 )](x), Left to Right: The function g(x; σ)… …due to reflection symmetry. The objective function for zLK is shown in (c) and for… …different view. (c) Segmentation result refined to the orange box by matching. (d… …Optimization landscape for minimizing the function (5.19). The spectrum from blue to red… 

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APA (6th Edition):

Mobahi, H. (2013). Optimization by Gaussian smoothing with application to geometric alignment. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42330

Chicago Manual of Style (16th Edition):

Mobahi, Hossein. “Optimization by Gaussian smoothing with application to geometric alignment.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed May 08, 2021. http://hdl.handle.net/2142/42330.

MLA Handbook (7th Edition):

Mobahi, Hossein. “Optimization by Gaussian smoothing with application to geometric alignment.” 2013. Web. 08 May 2021.

Vancouver:

Mobahi H. Optimization by Gaussian smoothing with application to geometric alignment. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2021 May 08]. Available from: http://hdl.handle.net/2142/42330.

Council of Science Editors:

Mobahi H. Optimization by Gaussian smoothing with application to geometric alignment. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42330

9. Foytik, Jacob D. Locally Tuned Nonlinear Manifold for Person Independent Head Pose Estimation.

Degree: PhD, Electrical Engineering, 2011, University of Dayton

Fine-grain head pose estimation from imagery is an essential operation for many human-centered systems, including pose independent face recognition and human-computer interaction systems. It is… (more)

Subjects/Keywords: Computer Engineering; Electrical Engineering; Head Pose Estimation; Piecewise Linear Manifold; Pose Sensitive Representations; Coarse to Fine; Head Orientation; Phase Congruency

…supervised neighborhood estimation process. In effect, a coarse to fine pose estimation method is… …computationally expensive and are unable to perform fine/continuous pose estimation. Dimensionality… …region, Rφ , projections are created to describe pose change (Pφ ). Layer 2 - Fine… …supported by coarse pose estimation. We hypothesize that by defining the system in a coarse to… …localized transforms serve to refine the coarse estimate performed by the 1st layer of the system… 

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APA (6th Edition):

Foytik, J. D. (2011). Locally Tuned Nonlinear Manifold for Person Independent Head Pose Estimation. (Doctoral Dissertation). University of Dayton. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=dayton1311968002

Chicago Manual of Style (16th Edition):

Foytik, Jacob D. “Locally Tuned Nonlinear Manifold for Person Independent Head Pose Estimation.” 2011. Doctoral Dissertation, University of Dayton. Accessed May 08, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1311968002.

MLA Handbook (7th Edition):

Foytik, Jacob D. “Locally Tuned Nonlinear Manifold for Person Independent Head Pose Estimation.” 2011. Web. 08 May 2021.

Vancouver:

Foytik JD. Locally Tuned Nonlinear Manifold for Person Independent Head Pose Estimation. [Internet] [Doctoral dissertation]. University of Dayton; 2011. [cited 2021 May 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1311968002.

Council of Science Editors:

Foytik JD. Locally Tuned Nonlinear Manifold for Person Independent Head Pose Estimation. [Doctoral Dissertation]. University of Dayton; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1311968002

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