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You searched for subject:(Vision science). Showing records 1 – 30 of 600 total matches.

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Colorado State University

1. Opper, Jamie K. Perceptual differences and perceptive fields in binocular and monocular color vision.

Degree: PhD, Psychology, 2016, Colorado State University

 This study investigated perceptual differences in stimuli viewed with one eye (monocular) or two eyes (binocular) in the central (fovea) and peripheral retina (10° retinal… (more)

Subjects/Keywords: Color vision; Vision science; Psychophysics; Binocular vision

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APA (6th Edition):

Opper, J. K. (2016). Perceptual differences and perceptive fields in binocular and monocular color vision. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/176649

Chicago Manual of Style (16th Edition):

Opper, Jamie K. “Perceptual differences and perceptive fields in binocular and monocular color vision.” 2016. Doctoral Dissertation, Colorado State University. Accessed August 24, 2019. http://hdl.handle.net/10217/176649.

MLA Handbook (7th Edition):

Opper, Jamie K. “Perceptual differences and perceptive fields in binocular and monocular color vision.” 2016. Web. 24 Aug 2019.

Vancouver:

Opper JK. Perceptual differences and perceptive fields in binocular and monocular color vision. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10217/176649.

Council of Science Editors:

Opper JK. Perceptual differences and perceptive fields in binocular and monocular color vision. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/176649


University of California – Berkeley

2. Karayev, Sergey. Anytime Recognition of Objects and Scenes.

Degree: Computer Science, 2014, University of California – Berkeley

 Humans are capable of perceiving a scene at a glance, and obtain deeper understanding with additional time. Computer visual recognition should be similarly robust to… (more)

Subjects/Keywords: Computer science; computer vision; recognition

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APA (6th Edition):

Karayev, S. (2014). Anytime Recognition of Objects and Scenes. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/38j8b41p

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):

Karayev, Sergey. “Anytime Recognition of Objects and Scenes.” 2014. Thesis, University of California – Berkeley. Accessed August 24, 2019. http://www.escholarship.org/uc/item/38j8b41p.

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

MLA Handbook (7th Edition):

Karayev, Sergey. “Anytime Recognition of Objects and Scenes.” 2014. Web. 24 Aug 2019.

Vancouver:

Karayev S. Anytime Recognition of Objects and Scenes. [Internet] [Thesis]. University of California – Berkeley; 2014. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/38j8b41p.

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

Council of Science Editors:

Karayev S. Anytime Recognition of Objects and Scenes. [Thesis]. University of California – Berkeley; 2014. Available from: http://www.escholarship.org/uc/item/38j8b41p

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


Wright State University

3. Patrick, Ryan Stewart. Surveillance in a Smart Home Environment.

Degree: MS, Computer Science, 2010, Wright State University

  A system for assisting the elderly in maintaining independent living is currently being designed. When mature, it is expected that this system will have… (more)

Subjects/Keywords: Computer Science; surveillance; computer vision; machine vision; object tracking

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APA (6th Edition):

Patrick, R. S. (2010). Surveillance in a Smart Home Environment. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1278508516

Chicago Manual of Style (16th Edition):

Patrick, Ryan Stewart. “Surveillance in a Smart Home Environment.” 2010. Masters Thesis, Wright State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1278508516.

MLA Handbook (7th Edition):

Patrick, Ryan Stewart. “Surveillance in a Smart Home Environment.” 2010. Web. 24 Aug 2019.

Vancouver:

Patrick RS. Surveillance in a Smart Home Environment. [Internet] [Masters thesis]. Wright State University; 2010. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1278508516.

Council of Science Editors:

Patrick RS. Surveillance in a Smart Home Environment. [Masters Thesis]. Wright State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1278508516


California State University – Northridge

4. Burns, Stephen. Virtual reality simulation using stereoscopic vision and motion tracking.

Degree: MS, Department of Computer Science, 2012, California State University – Northridge

 The graduate project is a three dimensional virtual reality game which uses user motion tracking for input and stereoscopic vision for display. The game created… (more)

Subjects/Keywords: Shutter Vision; Dissertations, Academic  – CSUN  – Computer Science.

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APA (6th Edition):

Burns, S. (2012). Virtual reality simulation using stereoscopic vision and motion tracking. (Masters Thesis). California State University – Northridge. Retrieved from http://hdl.handle.net/10211.2/830

Chicago Manual of Style (16th Edition):

Burns, Stephen. “Virtual reality simulation using stereoscopic vision and motion tracking.” 2012. Masters Thesis, California State University – Northridge. Accessed August 24, 2019. http://hdl.handle.net/10211.2/830.

MLA Handbook (7th Edition):

Burns, Stephen. “Virtual reality simulation using stereoscopic vision and motion tracking.” 2012. Web. 24 Aug 2019.

Vancouver:

Burns S. Virtual reality simulation using stereoscopic vision and motion tracking. [Internet] [Masters thesis]. California State University – Northridge; 2012. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10211.2/830.

Council of Science Editors:

Burns S. Virtual reality simulation using stereoscopic vision and motion tracking. [Masters Thesis]. California State University – Northridge; 2012. Available from: http://hdl.handle.net/10211.2/830


The Ohio State University

5. Keck, Mark A., Jr. Occlusion Recovery and Reasoning for 3D Surveillance.

Degree: PhD, Computer Science and Engineering, 2009, The Ohio State University

  In this work we propose algorithms to learn the locations of static occlusions and reason about both static and dynamic occlusion scenarios in multi-camera… (more)

Subjects/Keywords: Computer Science; Computer Vision; Occlusion Recovery, Tracking

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APA (6th Edition):

Keck, Mark A., J. (2009). Occlusion Recovery and Reasoning for 3D Surveillance. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1248968274

Chicago Manual of Style (16th Edition):

Keck, Mark A., Jr. “Occlusion Recovery and Reasoning for 3D Surveillance.” 2009. Doctoral Dissertation, The Ohio State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1248968274.

MLA Handbook (7th Edition):

Keck, Mark A., Jr. “Occlusion Recovery and Reasoning for 3D Surveillance.” 2009. Web. 24 Aug 2019.

Vancouver:

Keck, Mark A. J. Occlusion Recovery and Reasoning for 3D Surveillance. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1248968274.

Council of Science Editors:

Keck, Mark A. J. Occlusion Recovery and Reasoning for 3D Surveillance. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1248968274


University of California – Irvine

6. Hallman, Sam Nathan. Learning to Detect and Segment Objects in Images.

Degree: Computer Science, 2015, University of California – Irvine

 Two foundational and long-standing problems in computer vision are to detect and segment objects in images. The former problem focuses on finding certain classes of… (more)

Subjects/Keywords: Computer science; Artificial intelligence; detection; segmentation; vision

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APA (6th Edition):

Hallman, S. N. (2015). Learning to Detect and Segment Objects in Images. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/5031v5hq

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):

Hallman, Sam Nathan. “Learning to Detect and Segment Objects in Images.” 2015. Thesis, University of California – Irvine. Accessed August 24, 2019. http://www.escholarship.org/uc/item/5031v5hq.

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

MLA Handbook (7th Edition):

Hallman, Sam Nathan. “Learning to Detect and Segment Objects in Images.” 2015. Web. 24 Aug 2019.

Vancouver:

Hallman SN. Learning to Detect and Segment Objects in Images. [Internet] [Thesis]. University of California – Irvine; 2015. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/5031v5hq.

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

Council of Science Editors:

Hallman SN. Learning to Detect and Segment Objects in Images. [Thesis]. University of California – Irvine; 2015. Available from: http://www.escholarship.org/uc/item/5031v5hq

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


UCLA

7. Karasev, Vasiliy. Perception, Information Acquisition, and Prediction in Visual Tasks.

Degree: Electrical Engineering, 2015, UCLA

 This thesis describes a research program towards enabling mobile visual agents to successfully solve visual decision problems. We identify perception, information acquisition, and prediction as… (more)

Subjects/Keywords: Electrical engineering; Computer science; Robotics; computer vision

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APA (6th Edition):

Karasev, V. (2015). Perception, Information Acquisition, and Prediction in Visual Tasks. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/6nk6j31n

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):

Karasev, Vasiliy. “Perception, Information Acquisition, and Prediction in Visual Tasks.” 2015. Thesis, UCLA. Accessed August 24, 2019. http://www.escholarship.org/uc/item/6nk6j31n.

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

MLA Handbook (7th Edition):

Karasev, Vasiliy. “Perception, Information Acquisition, and Prediction in Visual Tasks.” 2015. Web. 24 Aug 2019.

Vancouver:

Karasev V. Perception, Information Acquisition, and Prediction in Visual Tasks. [Internet] [Thesis]. UCLA; 2015. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/6nk6j31n.

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

Council of Science Editors:

Karasev V. Perception, Information Acquisition, and Prediction in Visual Tasks. [Thesis]. UCLA; 2015. Available from: http://www.escholarship.org/uc/item/6nk6j31n

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


UCLA

8. Mao, Junhua. Multimodal Learning for Vision and Language.

Degree: Statistics, 2017, UCLA

 This thesis focuses on proposing and addressing various tasks in the field of vision and language, a new and challenging area which contains the hottest… (more)

Subjects/Keywords: Computer science; langauge; learning; multimodal; vision

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APA (6th Edition):

Mao, J. (2017). Multimodal Learning for Vision and Language. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/676212wx

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):

Mao, Junhua. “Multimodal Learning for Vision and Language.” 2017. Thesis, UCLA. Accessed August 24, 2019. http://www.escholarship.org/uc/item/676212wx.

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

MLA Handbook (7th Edition):

Mao, Junhua. “Multimodal Learning for Vision and Language.” 2017. Web. 24 Aug 2019.

Vancouver:

Mao J. Multimodal Learning for Vision and Language. [Internet] [Thesis]. UCLA; 2017. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/676212wx.

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

Council of Science Editors:

Mao J. Multimodal Learning for Vision and Language. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/676212wx

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


Drexel University

9. Zakrewsky, Stephen. Predicting E-commerce Item Popularity Using Image Quality Features.

Degree: 2016, Drexel University

In order to traverse the plethora of items for sale online, searching, ranking, and recommendation systems must be built, and the quality of these systems… (more)

Subjects/Keywords: Computer science; Computer vision; Electronic commerce

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APA (6th Edition):

Zakrewsky, S. (2016). Predicting E-commerce Item Popularity Using Image Quality Features. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:6860

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):

Zakrewsky, Stephen. “Predicting E-commerce Item Popularity Using Image Quality Features.” 2016. Thesis, Drexel University. Accessed August 24, 2019. http://hdl.handle.net/1860/idea:6860.

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

MLA Handbook (7th Edition):

Zakrewsky, Stephen. “Predicting E-commerce Item Popularity Using Image Quality Features.” 2016. Web. 24 Aug 2019.

Vancouver:

Zakrewsky S. Predicting E-commerce Item Popularity Using Image Quality Features. [Internet] [Thesis]. Drexel University; 2016. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1860/idea:6860.

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

Council of Science Editors:

Zakrewsky S. Predicting E-commerce Item Popularity Using Image Quality Features. [Thesis]. Drexel University; 2016. Available from: http://hdl.handle.net/1860/idea:6860

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


University of Waikato

10. Clark, Helen Elizabeth. Visual Perception and Analysis of an Approaching Train at Railway Level Crossings in New Zealand .

Degree: 2010, University of Waikato

 The prevalence of railway level crossing accidents in New Zealand is a high profile issue that has warranted close scrutiny over the last 10 years.… (more)

Subjects/Keywords: vision science; psychology; speed perception; distance perception

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APA (6th Edition):

Clark, H. E. (2010). Visual Perception and Analysis of an Approaching Train at Railway Level Crossings in New Zealand . (Masters Thesis). University of Waikato. Retrieved from http://hdl.handle.net/10289/4386

Chicago Manual of Style (16th Edition):

Clark, Helen Elizabeth. “Visual Perception and Analysis of an Approaching Train at Railway Level Crossings in New Zealand .” 2010. Masters Thesis, University of Waikato. Accessed August 24, 2019. http://hdl.handle.net/10289/4386.

MLA Handbook (7th Edition):

Clark, Helen Elizabeth. “Visual Perception and Analysis of an Approaching Train at Railway Level Crossings in New Zealand .” 2010. Web. 24 Aug 2019.

Vancouver:

Clark HE. Visual Perception and Analysis of an Approaching Train at Railway Level Crossings in New Zealand . [Internet] [Masters thesis]. University of Waikato; 2010. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10289/4386.

Council of Science Editors:

Clark HE. Visual Perception and Analysis of an Approaching Train at Railway Level Crossings in New Zealand . [Masters Thesis]. University of Waikato; 2010. Available from: http://hdl.handle.net/10289/4386


University of California – San Diego

11. Christiansen, Eric Martin. From local descriptors to in silico labeling.

Degree: Computer Science, 2018, University of California – San Diego

 Computer vision has seen great change in the last decade, characterized by shallow machine learning models on hand-tuned features in 2010, to deep models with… (more)

Subjects/Keywords: Computer science; computer vision; machine learning; microscopy

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APA (6th Edition):

Christiansen, E. M. (2018). From local descriptors to in silico labeling. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/40b479dh

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):

Christiansen, Eric Martin. “From local descriptors to in silico labeling.” 2018. Thesis, University of California – San Diego. Accessed August 24, 2019. http://www.escholarship.org/uc/item/40b479dh.

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

MLA Handbook (7th Edition):

Christiansen, Eric Martin. “From local descriptors to in silico labeling.” 2018. Web. 24 Aug 2019.

Vancouver:

Christiansen EM. From local descriptors to in silico labeling. [Internet] [Thesis]. University of California – San Diego; 2018. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/40b479dh.

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

Council of Science Editors:

Christiansen EM. From local descriptors to in silico labeling. [Thesis]. University of California – San Diego; 2018. Available from: http://www.escholarship.org/uc/item/40b479dh

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


Columbia University

12. Kumar, Neeraj. Describable Visual Attributes for Face Images.

Degree: 2011, Columbia University

 We introduce the use of describable visual attributes for face images. Describable visual attributes are labels that can be given to an image to describe… (more)

Subjects/Keywords: Computer science; Computer vision; Image processing

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APA (6th Edition):

Kumar, N. (2011). Describable Visual Attributes for Face Images. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D89K4PT7

Chicago Manual of Style (16th Edition):

Kumar, Neeraj. “Describable Visual Attributes for Face Images.” 2011. Doctoral Dissertation, Columbia University. Accessed August 24, 2019. https://doi.org/10.7916/D89K4PT7.

MLA Handbook (7th Edition):

Kumar, Neeraj. “Describable Visual Attributes for Face Images.” 2011. Web. 24 Aug 2019.

Vancouver:

Kumar N. Describable Visual Attributes for Face Images. [Internet] [Doctoral dissertation]. Columbia University; 2011. [cited 2019 Aug 24]. Available from: https://doi.org/10.7916/D89K4PT7.

Council of Science Editors:

Kumar N. Describable Visual Attributes for Face Images. [Doctoral Dissertation]. Columbia University; 2011. Available from: https://doi.org/10.7916/D89K4PT7


Columbia University

13. Liu, Jiongxin. Object Part Localization Using Exemplar-based Models.

Degree: 2017, Columbia University

 ​Object part localization is a fundamental problem in computer vision, which aims to let machines understand object in an image as a configuration of parts.… (more)

Subjects/Keywords: Computer science; Artificial intelligence; Computer vision

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

APA (6th Edition):

Liu, J. (2017). Object Part Localization Using Exemplar-based Models. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D87M0FWF

Chicago Manual of Style (16th Edition):

Liu, Jiongxin. “Object Part Localization Using Exemplar-based Models.” 2017. Doctoral Dissertation, Columbia University. Accessed August 24, 2019. https://doi.org/10.7916/D87M0FWF.

MLA Handbook (7th Edition):

Liu, Jiongxin. “Object Part Localization Using Exemplar-based Models.” 2017. Web. 24 Aug 2019.

Vancouver:

Liu J. Object Part Localization Using Exemplar-based Models. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2019 Aug 24]. Available from: https://doi.org/10.7916/D87M0FWF.

Council of Science Editors:

Liu J. Object Part Localization Using Exemplar-based Models. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D87M0FWF


Cornell University

14. Veit, Andreas. Learning Conditional Models for Visual Perception .

Degree: 2018, Cornell University

 In recent years, the field of computer vision has seen a series of major advances, made possible by rapid development in algorithms, data collection and… (more)

Subjects/Keywords: computer vision; machine learning; Computer science

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APA (6th Edition):

Veit, A. (2018). Learning Conditional Models for Visual Perception . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59494

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):

Veit, Andreas. “Learning Conditional Models for Visual Perception .” 2018. Thesis, Cornell University. Accessed August 24, 2019. http://hdl.handle.net/1813/59494.

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

MLA Handbook (7th Edition):

Veit, Andreas. “Learning Conditional Models for Visual Perception .” 2018. Web. 24 Aug 2019.

Vancouver:

Veit A. Learning Conditional Models for Visual Perception . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1813/59494.

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

Council of Science Editors:

Veit A. Learning Conditional Models for Visual Perception . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59494

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


Cornell University

15. Upchurch, Paul. Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks .

Degree: 2018, Cornell University

 Fully automatic processing of images is a key challenge for the 21st century. Our processing needs lie beyond just organizing photos by date and location.… (more)

Subjects/Keywords: computer vision; machine learning; Computer science

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APA (6th Edition):

Upchurch, P. (2018). Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59808

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):

Upchurch, Paul. “Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks .” 2018. Thesis, Cornell University. Accessed August 24, 2019. http://hdl.handle.net/1813/59808.

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

MLA Handbook (7th Edition):

Upchurch, Paul. “Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks .” 2018. Web. 24 Aug 2019.

Vancouver:

Upchurch P. Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1813/59808.

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

Council of Science Editors:

Upchurch P. Data-Driven Material Recognition and Photorealistic Image Editing Using Deep Convolutional Neural Networks . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59808

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


University of Michigan

16. Chao, Yu-Wei. Visual Recognition and Synthesis of Human-Object Interactions.

Degree: PhD, Computer Science & Engineering, 2019, University of Michigan

 The ability to perceive and understand people's actions enables humans to efficiently communicate and collaborate in society. Endowing machines with such ability is an important… (more)

Subjects/Keywords: computer vision; machine learning; Computer Science; Engineering

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

APA (6th Edition):

Chao, Y. (2019). Visual Recognition and Synthesis of Human-Object Interactions. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/150045

Chicago Manual of Style (16th Edition):

Chao, Yu-Wei. “Visual Recognition and Synthesis of Human-Object Interactions.” 2019. Doctoral Dissertation, University of Michigan. Accessed August 24, 2019. http://hdl.handle.net/2027.42/150045.

MLA Handbook (7th Edition):

Chao, Yu-Wei. “Visual Recognition and Synthesis of Human-Object Interactions.” 2019. Web. 24 Aug 2019.

Vancouver:

Chao Y. Visual Recognition and Synthesis of Human-Object Interactions. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2027.42/150045.

Council of Science Editors:

Chao Y. Visual Recognition and Synthesis of Human-Object Interactions. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/150045


UCLA

17. Zhao, Yibiao. A Quest for Visual Commonsense: Scene Understanding by Functional and Physical Reasoning.

Degree: Statistics, 2015, UCLA

 Computer vision has made significant progress in locating and recognizing objects in recent decades. However, beyond the scope of this “what is where” challenge, it… (more)

Subjects/Keywords: Statistics; Computer science; Cognitive psychology; commonsense; computer vision; functionality; physics reasoning; vision meets cognition

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

APA (6th Edition):

Zhao, Y. (2015). A Quest for Visual Commonsense: Scene Understanding by Functional and Physical Reasoning. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/477323kd

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):

Zhao, Yibiao. “A Quest for Visual Commonsense: Scene Understanding by Functional and Physical Reasoning.” 2015. Thesis, UCLA. Accessed August 24, 2019. http://www.escholarship.org/uc/item/477323kd.

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

MLA Handbook (7th Edition):

Zhao, Yibiao. “A Quest for Visual Commonsense: Scene Understanding by Functional and Physical Reasoning.” 2015. Web. 24 Aug 2019.

Vancouver:

Zhao Y. A Quest for Visual Commonsense: Scene Understanding by Functional and Physical Reasoning. [Internet] [Thesis]. UCLA; 2015. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/477323kd.

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

Council of Science Editors:

Zhao Y. A Quest for Visual Commonsense: Scene Understanding by Functional and Physical Reasoning. [Thesis]. UCLA; 2015. Available from: http://www.escholarship.org/uc/item/477323kd

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

18. Delabarre, Bertrand. Contributions to dense visual tracking and visual servoing using robust similarity criteria : Contributions au suivi visuel et à l'asservissement visuel denses basées sur des critères de similarité robustes.

Degree: Docteur es, Informatique, 2014, Rennes 1

Dans cette thèse, nous traitons les problèmes de suivi visuel et d'asservissement visuel, qui sont des thèmes essentiels dans le domaine de la vision par… (more)

Subjects/Keywords: Vision par ordinateur; Suivi visuel; Asservissement visuel; Computer science; Computer vision; Visual tracking; Visual servoing

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

APA (6th Edition):

Delabarre, B. (2014). Contributions to dense visual tracking and visual servoing using robust similarity criteria : Contributions au suivi visuel et à l'asservissement visuel denses basées sur des critères de similarité robustes. (Doctoral Dissertation). Rennes 1. Retrieved from http://www.theses.fr/2014REN1S124

Chicago Manual of Style (16th Edition):

Delabarre, Bertrand. “Contributions to dense visual tracking and visual servoing using robust similarity criteria : Contributions au suivi visuel et à l'asservissement visuel denses basées sur des critères de similarité robustes.” 2014. Doctoral Dissertation, Rennes 1. Accessed August 24, 2019. http://www.theses.fr/2014REN1S124.

MLA Handbook (7th Edition):

Delabarre, Bertrand. “Contributions to dense visual tracking and visual servoing using robust similarity criteria : Contributions au suivi visuel et à l'asservissement visuel denses basées sur des critères de similarité robustes.” 2014. Web. 24 Aug 2019.

Vancouver:

Delabarre B. Contributions to dense visual tracking and visual servoing using robust similarity criteria : Contributions au suivi visuel et à l'asservissement visuel denses basées sur des critères de similarité robustes. [Internet] [Doctoral dissertation]. Rennes 1; 2014. [cited 2019 Aug 24]. Available from: http://www.theses.fr/2014REN1S124.

Council of Science Editors:

Delabarre B. Contributions to dense visual tracking and visual servoing using robust similarity criteria : Contributions au suivi visuel et à l'asservissement visuel denses basées sur des critères de similarité robustes. [Doctoral Dissertation]. Rennes 1; 2014. Available from: http://www.theses.fr/2014REN1S124


Columbia University

19. Greenbaum, Raphael. Experimental Study of Rocking Motion of Rigid Bodies on Deformable Medium via Monocular Videogrammetry.

Degree: 2014, Columbia University

 The study of rigid body rocking is applicable to a wide variety of structural and non-structural elements. The current applications range from bridge pier and… (more)

Subjects/Keywords: Computer vision; Motion perception (Vision) – Computer simulation; Three-dimensional modeling; Engineering; Civil engineering; Computer science

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

APA (6th Edition):

Greenbaum, R. (2014). Experimental Study of Rocking Motion of Rigid Bodies on Deformable Medium via Monocular Videogrammetry. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D83N2220

Chicago Manual of Style (16th Edition):

Greenbaum, Raphael. “Experimental Study of Rocking Motion of Rigid Bodies on Deformable Medium via Monocular Videogrammetry.” 2014. Doctoral Dissertation, Columbia University. Accessed August 24, 2019. https://doi.org/10.7916/D83N2220.

MLA Handbook (7th Edition):

Greenbaum, Raphael. “Experimental Study of Rocking Motion of Rigid Bodies on Deformable Medium via Monocular Videogrammetry.” 2014. Web. 24 Aug 2019.

Vancouver:

Greenbaum R. Experimental Study of Rocking Motion of Rigid Bodies on Deformable Medium via Monocular Videogrammetry. [Internet] [Doctoral dissertation]. Columbia University; 2014. [cited 2019 Aug 24]. Available from: https://doi.org/10.7916/D83N2220.

Council of Science Editors:

Greenbaum R. Experimental Study of Rocking Motion of Rigid Bodies on Deformable Medium via Monocular Videogrammetry. [Doctoral Dissertation]. Columbia University; 2014. Available from: https://doi.org/10.7916/D83N2220


Arizona State University

20. Dhar, Anchit. Stereo based Visual Odometry.

Degree: MS, Electrical Engineering, 2010, Arizona State University

 The exponential rise in unmanned aerial vehicles has necessitated the need for accurate pose estimation under any extreme conditions. Visual Odometry (VO) is the estimation… (more)

Subjects/Keywords: Electrical Engineering; Computer Science; GPS-denied; navigation; Stereo vision; Vision; Visual Odometry

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

APA (6th Edition):

Dhar, A. (2010). Stereo based Visual Odometry. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/8799

Chicago Manual of Style (16th Edition):

Dhar, Anchit. “Stereo based Visual Odometry.” 2010. Masters Thesis, Arizona State University. Accessed August 24, 2019. http://repository.asu.edu/items/8799.

MLA Handbook (7th Edition):

Dhar, Anchit. “Stereo based Visual Odometry.” 2010. Web. 24 Aug 2019.

Vancouver:

Dhar A. Stereo based Visual Odometry. [Internet] [Masters thesis]. Arizona State University; 2010. [cited 2019 Aug 24]. Available from: http://repository.asu.edu/items/8799.

Council of Science Editors:

Dhar A. Stereo based Visual Odometry. [Masters Thesis]. Arizona State University; 2010. Available from: http://repository.asu.edu/items/8799


Cornell University

21. Lin, Tsung-Yi. Detecting Common Objects in Context .

Degree: 2017, Cornell University

 Visual scene understanding is a basic function of human perception and one of the primary goals of computer vision. Object detection, which involves recognizing and… (more)

Subjects/Keywords: Crowdsourcing; Object Recognition; Artificial intelligence; computer vision; Computer science; machine learning

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

APA (6th Edition):

Lin, T. (2017). Detecting Common Objects in Context . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/56711

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):

Lin, Tsung-Yi. “Detecting Common Objects in Context .” 2017. Thesis, Cornell University. Accessed August 24, 2019. http://hdl.handle.net/1813/56711.

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

MLA Handbook (7th Edition):

Lin, Tsung-Yi. “Detecting Common Objects in Context .” 2017. Web. 24 Aug 2019.

Vancouver:

Lin T. Detecting Common Objects in Context . [Internet] [Thesis]. Cornell University; 2017. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1813/56711.

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

Council of Science Editors:

Lin T. Detecting Common Objects in Context . [Thesis]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/56711

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


Portland State University

22. Dickerson, Naomi Lynn. Refining Bounding-Box Regression for Object Localization.

Degree: MS(M.S.) in Computer Science, Computer Science, 2017, Portland State University

  For the last several years, convolutional neural network (CNN) based object detection systems have used a regression technique to predict improved object bounding boxes… (more)

Subjects/Keywords: Neural networks (Computer science); Pattern recognition systems; Computer vision; Computer Sciences

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

APA (6th Edition):

Dickerson, N. L. (2017). Refining Bounding-Box Regression for Object Localization. (Masters Thesis). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/3940

Chicago Manual of Style (16th Edition):

Dickerson, Naomi Lynn. “Refining Bounding-Box Regression for Object Localization.” 2017. Masters Thesis, Portland State University. Accessed August 24, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/3940.

MLA Handbook (7th Edition):

Dickerson, Naomi Lynn. “Refining Bounding-Box Regression for Object Localization.” 2017. Web. 24 Aug 2019.

Vancouver:

Dickerson NL. Refining Bounding-Box Regression for Object Localization. [Internet] [Masters thesis]. Portland State University; 2017. [cited 2019 Aug 24]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/3940.

Council of Science Editors:

Dickerson NL. Refining Bounding-Box Regression for Object Localization. [Masters Thesis]. Portland State University; 2017. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/3940


The Ohio State University

23. Ding, Lei. From Pixels to People: Graph Based Methods for Grouping Problems in Computer Vision.

Degree: PhD, Computer Science and Engineering, 2010, The Ohio State University

  In this dissertation, we study grouping problems in computer vision using graph-based machine learning techniques. Grouping problems abound in computer vision and are typically… (more)

Subjects/Keywords: Computer Science; Graph-based Machine Learning; Computer Vision

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

APA (6th Edition):

Ding, L. (2010). From Pixels to People: Graph Based Methods for Grouping Problems in Computer Vision. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1289845859

Chicago Manual of Style (16th Edition):

Ding, Lei. “From Pixels to People: Graph Based Methods for Grouping Problems in Computer Vision.” 2010. Doctoral Dissertation, The Ohio State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1289845859.

MLA Handbook (7th Edition):

Ding, Lei. “From Pixels to People: Graph Based Methods for Grouping Problems in Computer Vision.” 2010. Web. 24 Aug 2019.

Vancouver:

Ding L. From Pixels to People: Graph Based Methods for Grouping Problems in Computer Vision. [Internet] [Doctoral dissertation]. The Ohio State University; 2010. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1289845859.

Council of Science Editors:

Ding L. From Pixels to People: Graph Based Methods for Grouping Problems in Computer Vision. [Doctoral Dissertation]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1289845859


The Ohio State University

24. Nedrich, Matthew. Detecting Behavioral Zones in Local and Global Camera Views.

Degree: MS, Computer Science and Engineering, 2011, The Ohio State University

 We present a complete end-to-end framework to detect and exploit entry and exit regions in video using behavioral models for object trajectories. We first describe… (more)

Subjects/Keywords: Computer Science; scene modeling; computer vision; scene understanding

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

APA (6th Edition):

Nedrich, M. (2011). Detecting Behavioral Zones in Local and Global Camera Views. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1306343833

Chicago Manual of Style (16th Edition):

Nedrich, Matthew. “Detecting Behavioral Zones in Local and Global Camera Views.” 2011. Masters Thesis, The Ohio State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306343833.

MLA Handbook (7th Edition):

Nedrich, Matthew. “Detecting Behavioral Zones in Local and Global Camera Views.” 2011. Web. 24 Aug 2019.

Vancouver:

Nedrich M. Detecting Behavioral Zones in Local and Global Camera Views. [Internet] [Masters thesis]. The Ohio State University; 2011. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1306343833.

Council of Science Editors:

Nedrich M. Detecting Behavioral Zones in Local and Global Camera Views. [Masters Thesis]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1306343833

25. Melo, Eduardo Antonio Lundgren. Tracking Library for the Web .

Degree: 2013, Universidade Federal de Pernambuco

 In this dissertation, I designed and implemented a tracking library for the web aiming to provide a common infrastructure to develop applications and to accelerate… (more)

Subjects/Keywords: Computer Science; Computer Vision; Web; Ciência da Computação; Visão Computacional

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

APA (6th Edition):

Melo, E. A. L. (2013). Tracking Library for the Web . (Thesis). Universidade Federal de Pernambuco. Retrieved from http://repositorio.ufpe.br/handle/123456789/11652

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):

Melo, Eduardo Antonio Lundgren. “Tracking Library for the Web .” 2013. Thesis, Universidade Federal de Pernambuco. Accessed August 24, 2019. http://repositorio.ufpe.br/handle/123456789/11652.

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

MLA Handbook (7th Edition):

Melo, Eduardo Antonio Lundgren. “Tracking Library for the Web .” 2013. Web. 24 Aug 2019.

Vancouver:

Melo EAL. Tracking Library for the Web . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2013. [cited 2019 Aug 24]. Available from: http://repositorio.ufpe.br/handle/123456789/11652.

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

Council of Science Editors:

Melo EAL. Tracking Library for the Web . [Thesis]. Universidade Federal de Pernambuco; 2013. Available from: http://repositorio.ufpe.br/handle/123456789/11652

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


Penn State University

26. Supalo, Cary Alan. Teaching Chemistry and Other Sciences to Blind and Low-Vision Students through Hands-On Learning Experiences in High School Science Laboratories.

Degree: PhD, Chemistry, 2010, Penn State University

 Students with blindness and low vision (BLV) have traditionally been underrepresented in the sciences as a result of technological and attitudinal barriers to equal access… (more)

Subjects/Keywords: chemistry; blind; low vision; hands-on; laboratory; science; multisensory; teach; students

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

APA (6th Edition):

Supalo, C. A. (2010). Teaching Chemistry and Other Sciences to Blind and Low-Vision Students through Hands-On Learning Experiences in High School Science Laboratories. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/11471

Chicago Manual of Style (16th Edition):

Supalo, Cary Alan. “Teaching Chemistry and Other Sciences to Blind and Low-Vision Students through Hands-On Learning Experiences in High School Science Laboratories.” 2010. Doctoral Dissertation, Penn State University. Accessed August 24, 2019. https://etda.libraries.psu.edu/catalog/11471.

MLA Handbook (7th Edition):

Supalo, Cary Alan. “Teaching Chemistry and Other Sciences to Blind and Low-Vision Students through Hands-On Learning Experiences in High School Science Laboratories.” 2010. Web. 24 Aug 2019.

Vancouver:

Supalo CA. Teaching Chemistry and Other Sciences to Blind and Low-Vision Students through Hands-On Learning Experiences in High School Science Laboratories. [Internet] [Doctoral dissertation]. Penn State University; 2010. [cited 2019 Aug 24]. Available from: https://etda.libraries.psu.edu/catalog/11471.

Council of Science Editors:

Supalo CA. Teaching Chemistry and Other Sciences to Blind and Low-Vision Students through Hands-On Learning Experiences in High School Science Laboratories. [Doctoral Dissertation]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/11471

27. Lucian, Christopher. Optimizing and Evaluating Classifiers of a Visual Cortex based Hierarchical Model Using Differential Evolution Binary Particle Swarm Optimization .

Degree: 2015, California State University – San Marcos

 We investigate the impact of Differential Evolution Binary Particle Swarm Optimization (DEBPSO) on the configuration of learning models used to classify the shape prototypes generated… (more)

Subjects/Keywords: Computer Vision; Machine Learning; Object Recognition; Computer Science

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APA (6th Edition):

Lucian, C. (2015). Optimizing and Evaluating Classifiers of a Visual Cortex based Hierarchical Model Using Differential Evolution Binary Particle Swarm Optimization . (Thesis). California State University – San Marcos. Retrieved from http://hdl.handle.net/10211.3/138828

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):

Lucian, Christopher. “Optimizing and Evaluating Classifiers of a Visual Cortex based Hierarchical Model Using Differential Evolution Binary Particle Swarm Optimization .” 2015. Thesis, California State University – San Marcos. Accessed August 24, 2019. http://hdl.handle.net/10211.3/138828.

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

MLA Handbook (7th Edition):

Lucian, Christopher. “Optimizing and Evaluating Classifiers of a Visual Cortex based Hierarchical Model Using Differential Evolution Binary Particle Swarm Optimization .” 2015. Web. 24 Aug 2019.

Vancouver:

Lucian C. Optimizing and Evaluating Classifiers of a Visual Cortex based Hierarchical Model Using Differential Evolution Binary Particle Swarm Optimization . [Internet] [Thesis]. California State University – San Marcos; 2015. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10211.3/138828.

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

Council of Science Editors:

Lucian C. Optimizing and Evaluating Classifiers of a Visual Cortex based Hierarchical Model Using Differential Evolution Binary Particle Swarm Optimization . [Thesis]. California State University – San Marcos; 2015. Available from: http://hdl.handle.net/10211.3/138828

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


University of California – Berkeley

28. Zhang, Ning. Visual Representations for Fine-grained Categorization.

Degree: Computer Science, 2015, University of California – Berkeley

 In contrast to basic-level object recognition, fine-grained categorization aims to distinguishbetween subordinate categories, such as different animal breeds or species, plant species or man-made product… (more)

Subjects/Keywords: Computer science; Computer vision; Deep learning; Fine-grained categorization

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

APA (6th Edition):

Zhang, N. (2015). Visual Representations for Fine-grained Categorization. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/3g69z0fw

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):

Zhang, Ning. “Visual Representations for Fine-grained Categorization.” 2015. Thesis, University of California – Berkeley. Accessed August 24, 2019. http://www.escholarship.org/uc/item/3g69z0fw.

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

MLA Handbook (7th Edition):

Zhang, Ning. “Visual Representations for Fine-grained Categorization.” 2015. Web. 24 Aug 2019.

Vancouver:

Zhang N. Visual Representations for Fine-grained Categorization. [Internet] [Thesis]. University of California – Berkeley; 2015. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/3g69z0fw.

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

Council of Science Editors:

Zhang N. Visual Representations for Fine-grained Categorization. [Thesis]. University of California – Berkeley; 2015. Available from: http://www.escholarship.org/uc/item/3g69z0fw

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


University of California – Irvine

29. Beyeler, Michael. Cortical neural network models of visual motion perception for decision-making and reactive navigation.

Degree: Computer Science, 2016, University of California – Irvine

 Animals use vision to traverse novel cluttered environments with apparent ease. Evidence suggests that the mammalian brain integrates visual motion cues across a number of… (more)

Subjects/Keywords: Computer science; Neurosciences; Robotics; GPU; motion; neurorobotics; SNN; vision

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APA (6th Edition):

Beyeler, M. (2016). Cortical neural network models of visual motion perception for decision-making and reactive navigation. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/1cw5d4h3

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):

Beyeler, Michael. “Cortical neural network models of visual motion perception for decision-making and reactive navigation.” 2016. Thesis, University of California – Irvine. Accessed August 24, 2019. http://www.escholarship.org/uc/item/1cw5d4h3.

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

MLA Handbook (7th Edition):

Beyeler, Michael. “Cortical neural network models of visual motion perception for decision-making and reactive navigation.” 2016. Web. 24 Aug 2019.

Vancouver:

Beyeler M. Cortical neural network models of visual motion perception for decision-making and reactive navigation. [Internet] [Thesis]. University of California – Irvine; 2016. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/1cw5d4h3.

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

Council of Science Editors:

Beyeler M. Cortical neural network models of visual motion perception for decision-making and reactive navigation. [Thesis]. University of California – Irvine; 2016. Available from: http://www.escholarship.org/uc/item/1cw5d4h3

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


UCLA

30. Liu, Jason Jun Hing. Body Pressure Image Analyses: Static, Dynamic, and Sensing Strategies for a Pressure Sensitive Bedsheet.

Degree: Computer Science, 2014, UCLA

 Ubiquitous personal monitoring of health has rapidly developed in recent years. Technology is playing a major role in the improvement of quality of life. Much… (more)

Subjects/Keywords: Computer science; Computer Vision; Image Analysis; Machine Learning; Pressure Images

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APA (6th Edition):

Liu, J. J. H. (2014). Body Pressure Image Analyses: Static, Dynamic, and Sensing Strategies for a Pressure Sensitive Bedsheet. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/7mh7t6qs

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):

Liu, Jason Jun Hing. “Body Pressure Image Analyses: Static, Dynamic, and Sensing Strategies for a Pressure Sensitive Bedsheet.” 2014. Thesis, UCLA. Accessed August 24, 2019. http://www.escholarship.org/uc/item/7mh7t6qs.

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

MLA Handbook (7th Edition):

Liu, Jason Jun Hing. “Body Pressure Image Analyses: Static, Dynamic, and Sensing Strategies for a Pressure Sensitive Bedsheet.” 2014. Web. 24 Aug 2019.

Vancouver:

Liu JJH. Body Pressure Image Analyses: Static, Dynamic, and Sensing Strategies for a Pressure Sensitive Bedsheet. [Internet] [Thesis]. UCLA; 2014. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/7mh7t6qs.

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

Council of Science Editors:

Liu JJH. Body Pressure Image Analyses: Static, Dynamic, and Sensing Strategies for a Pressure Sensitive Bedsheet. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/7mh7t6qs

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

[1] [2] [3] [4] [5] … [20]

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