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You searched for +publisher:"Georgia Tech" +contributor:("Essa, Irfan"). Showing records 1 – 30 of 45 total matches.

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Georgia Tech

1. Ali, Ashar. 3D human pose estimation.

Degree: MS, Electrical and Computer Engineering, 2019, Georgia Tech

 The objective of the proposed work is to understand how using synthetic datasets and automatic annotation policies can further state of the art research for… (more)

Subjects/Keywords: 3D computer vision; Human pose estimation; Point cloud processing; Deep learning on point clouds

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APA (6th Edition):

Ali, A. (2019). 3D human pose estimation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61286

Chicago Manual of Style (16th Edition):

Ali, Ashar. “3D human pose estimation.” 2019. Masters Thesis, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/61286.

MLA Handbook (7th Edition):

Ali, Ashar. “3D human pose estimation.” 2019. Web. 22 Sep 2019.

Vancouver:

Ali A. 3D human pose estimation. [Internet] [Masters thesis]. Georgia Tech; 2019. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/61286.

Council of Science Editors:

Ali A. 3D human pose estimation. [Masters Thesis]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61286


Georgia Tech

2. Agrawal, Varun. Visual attribute labeling of images.

Degree: MS, Computer Science, 2019, Georgia Tech

 In this work, we analyze and apply various recent techniques in visual attribute recognition and labeling on a common benchmark dataset in order to motivate… (more)

Subjects/Keywords: Images; Attributes; Labeling; Ranking; Computer vision; Machine learning

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APA (6th Edition):

Agrawal, V. (2019). Visual attribute labeling of images. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61813

Chicago Manual of Style (16th Edition):

Agrawal, Varun. “Visual attribute labeling of images.” 2019. Masters Thesis, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/61813.

MLA Handbook (7th Edition):

Agrawal, Varun. “Visual attribute labeling of images.” 2019. Web. 22 Sep 2019.

Vancouver:

Agrawal V. Visual attribute labeling of images. [Internet] [Masters thesis]. Georgia Tech; 2019. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/61813.

Council of Science Editors:

Agrawal V. Visual attribute labeling of images. [Masters Thesis]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61813


Georgia Tech

3. Cosgun, Akansel. Navigation behavior design and representations for a people aware mobile robot system.

Degree: PhD, Interactive Computing, 2016, Georgia Tech

 There are millions of robots in operation around the world today, and almost all of them operate on factory floors in isolation from people. However,… (more)

Subjects/Keywords: Robotics; Navigation; Mobile robots; Path planning

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APA (6th Edition):

Cosgun, A. (2016). Navigation behavior design and representations for a people aware mobile robot system. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54944

Chicago Manual of Style (16th Edition):

Cosgun, Akansel. “Navigation behavior design and representations for a people aware mobile robot system.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/54944.

MLA Handbook (7th Edition):

Cosgun, Akansel. “Navigation behavior design and representations for a people aware mobile robot system.” 2016. Web. 22 Sep 2019.

Vancouver:

Cosgun A. Navigation behavior design and representations for a people aware mobile robot system. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/54944.

Council of Science Editors:

Cosgun A. Navigation behavior design and representations for a people aware mobile robot system. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/54944


Georgia Tech

4. Raza, Syed H. Temporally consistent semantic segmentation in videos.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 The objective of this Thesis research is to develop algorithms for temporally consistent semantic segmentation in videos. Though many different forms of semantic segmentations exist,… (more)

Subjects/Keywords: Semantic segmentation; Temporal consistency; Causality; Videos; Occlusion boundaries; Depth estimation

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APA (6th Edition):

Raza, S. H. (2014). Temporally consistent semantic segmentation in videos. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53455

Chicago Manual of Style (16th Edition):

Raza, Syed H. “Temporally consistent semantic segmentation in videos.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/53455.

MLA Handbook (7th Edition):

Raza, Syed H. “Temporally consistent semantic segmentation in videos.” 2014. Web. 22 Sep 2019.

Vancouver:

Raza SH. Temporally consistent semantic segmentation in videos. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/53455.

Council of Science Editors:

Raza SH. Temporally consistent semantic segmentation in videos. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53455


Georgia Tech

5. Zafrulla, Zahoor. Automatic recognition of American sign language classifiers.

Degree: PhD, Computer Science, 2014, Georgia Tech

 Automatically recognizing classifier-based grammatical structures of American Sign Language (ASL) is a challenging problem. Classifiers in ASL utilize surrogate hand shapes for people or "classes"… (more)

Subjects/Keywords: American sgn Language; Hand tracking; Sign language recognition; Verification; Depth maps; Educational games

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APA (6th Edition):

Zafrulla, Z. (2014). Automatic recognition of American sign language classifiers. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53461

Chicago Manual of Style (16th Edition):

Zafrulla, Zahoor. “Automatic recognition of American sign language classifiers.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/53461.

MLA Handbook (7th Edition):

Zafrulla, Zahoor. “Automatic recognition of American sign language classifiers.” 2014. Web. 22 Sep 2019.

Vancouver:

Zafrulla Z. Automatic recognition of American sign language classifiers. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/53461.

Council of Science Editors:

Zafrulla Z. Automatic recognition of American sign language classifiers. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53461


Georgia Tech

6. Kim, Seungyeon. Novel document representations based on labels and sequential information.

Degree: PhD, Computer Science, 2015, Georgia Tech

 A wide variety of text analysis applications are based on statistical machine learning techniques. The success of those applications is critically affected by how we… (more)

Subjects/Keywords: Representation learning; Topic modeling; Supervised learning; Sequential document modeling; Sentiment analysis; Mood analysis; Matrix factorization; Machine learning; Artificial intelligence

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APA (6th Edition):

Kim, S. (2015). Novel document representations based on labels and sequential information. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53946

Chicago Manual of Style (16th Edition):

Kim, Seungyeon. “Novel document representations based on labels and sequential information.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/53946.

MLA Handbook (7th Edition):

Kim, Seungyeon. “Novel document representations based on labels and sequential information.” 2015. Web. 22 Sep 2019.

Vancouver:

Kim S. Novel document representations based on labels and sequential information. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/53946.

Council of Science Editors:

Kim S. Novel document representations based on labels and sequential information. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53946


Georgia Tech

7. Kohlsdorf, Daniel. Data mining in large audio collections of dolphin signals.

Degree: PhD, Computer Science, 2015, Georgia Tech

 The study of dolphin cognition involves intensive research of animal vocal- izations recorded in the field. In this dissertation I address the automated analysis of… (more)

Subjects/Keywords: Pattern discovery; Dolphin communication

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APA (6th Edition):

Kohlsdorf, D. (2015). Data mining in large audio collections of dolphin signals. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53968

Chicago Manual of Style (16th Edition):

Kohlsdorf, Daniel. “Data mining in large audio collections of dolphin signals.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/53968.

MLA Handbook (7th Edition):

Kohlsdorf, Daniel. “Data mining in large audio collections of dolphin signals.” 2015. Web. 22 Sep 2019.

Vancouver:

Kohlsdorf D. Data mining in large audio collections of dolphin signals. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/53968.

Council of Science Editors:

Kohlsdorf D. Data mining in large audio collections of dolphin signals. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53968


Georgia Tech

8. Bakhshi, Saeideh. Photo engagement: how presentation and content of images impact their engagement and diffusion.

Degree: PhD, Computer Science, 2014, Georgia Tech

 The type of media shared through social media channels has shifted from text content to include an increasingly large number of images. Visual traces resulting… (more)

Subjects/Keywords: Instagram; Flickr; Pinterest; Colors; Faces; Image content; Filters;

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APA (6th Edition):

Bakhshi, S. (2014). Photo engagement: how presentation and content of images impact their engagement and diffusion. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54254

Chicago Manual of Style (16th Edition):

Bakhshi, Saeideh. “Photo engagement: how presentation and content of images impact their engagement and diffusion.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/54254.

MLA Handbook (7th Edition):

Bakhshi, Saeideh. “Photo engagement: how presentation and content of images impact their engagement and diffusion.” 2014. Web. 22 Sep 2019.

Vancouver:

Bakhshi S. Photo engagement: how presentation and content of images impact their engagement and diffusion. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/54254.

Council of Science Editors:

Bakhshi S. Photo engagement: how presentation and content of images impact their engagement and diffusion. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54254


Georgia Tech

9. Dantam, Neil Thomas. A linguistic method for robot verification programming and control.

Degree: PhD, Interactive Computing, 2014, Georgia Tech

 There are many competing techniques for specifying robot policies, each having advantages in different circumstances. To unify these techniques in a single framework, we use… (more)

Subjects/Keywords: Robotics; Formal language; Grammars; Policy representation

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APA (6th Edition):

Dantam, N. T. (2014). A linguistic method for robot verification programming and control. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54284

Chicago Manual of Style (16th Edition):

Dantam, Neil Thomas. “A linguistic method for robot verification programming and control.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/54284.

MLA Handbook (7th Edition):

Dantam, Neil Thomas. “A linguistic method for robot verification programming and control.” 2014. Web. 22 Sep 2019.

Vancouver:

Dantam NT. A linguistic method for robot verification programming and control. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/54284.

Council of Science Editors:

Dantam NT. A linguistic method for robot verification programming and control. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54284


Georgia Tech

10. Kim, Jonathan Chongkang. Classification of affect using novel voice and visual features.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 Emotion adds an important element to the discussion of how information is conveyed and processed by humans; indeed, it plays an important role in the… (more)

Subjects/Keywords: Speech signal processing; Machine learning; Classifier fusion; Multimodal analysis; Emotion; Affective computing; Human behavior analysis; Speech production

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APA (6th Edition):

Kim, J. C. (2014). Classification of affect using novel voice and visual features. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54301

Chicago Manual of Style (16th Edition):

Kim, Jonathan Chongkang. “Classification of affect using novel voice and visual features.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/54301.

MLA Handbook (7th Edition):

Kim, Jonathan Chongkang. “Classification of affect using novel voice and visual features.” 2014. Web. 22 Sep 2019.

Vancouver:

Kim JC. Classification of affect using novel voice and visual features. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/54301.

Council of Science Editors:

Kim JC. Classification of affect using novel voice and visual features. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54301


Georgia Tech

11. Schindler, Grant. Unlocking the urban photographic record through 4D scene modeling.

Degree: PhD, Computing, 2010, Georgia Tech

 Vast collections of historical photographs are being digitally archived and placed online, providing an objective record of the last two centuries that remains largely untapped.… (more)

Subjects/Keywords: Computer vision; 3D reconstruction; Structure from motion; Historical photographs; Temporal inference; Digital images; Photographs Conservation and restoration; Three-dimensional imaging

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APA (6th Edition):

Schindler, G. (2010). Unlocking the urban photographic record through 4D scene modeling. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/34719

Chicago Manual of Style (16th Edition):

Schindler, Grant. “Unlocking the urban photographic record through 4D scene modeling.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/34719.

MLA Handbook (7th Edition):

Schindler, Grant. “Unlocking the urban photographic record through 4D scene modeling.” 2010. Web. 22 Sep 2019.

Vancouver:

Schindler G. Unlocking the urban photographic record through 4D scene modeling. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/34719.

Council of Science Editors:

Schindler G. Unlocking the urban photographic record through 4D scene modeling. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/34719


Georgia Tech

12. Diakopoulos, Nicholas A. Collaborative annotation, analysis, and presentation interfaces for digital video.

Degree: PhD, Computing, 2009, Georgia Tech

 Information quality corresponds to the degree of excellence in communicating knowledge or intelligence and encompasses aspects of validity, accuracy, reliability, bias, transparency, and comprehensiveness among… (more)

Subjects/Keywords: Video interfaces; Journalism; Annotation; Games; Credibility; Media analysis; Digital video; Computer-aided transcription systems; Metadata

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APA (6th Edition):

Diakopoulos, N. A. (2009). Collaborative annotation, analysis, and presentation interfaces for digital video. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/29680

Chicago Manual of Style (16th Edition):

Diakopoulos, Nicholas A. “Collaborative annotation, analysis, and presentation interfaces for digital video.” 2009. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/29680.

MLA Handbook (7th Edition):

Diakopoulos, Nicholas A. “Collaborative annotation, analysis, and presentation interfaces for digital video.” 2009. Web. 22 Sep 2019.

Vancouver:

Diakopoulos NA. Collaborative annotation, analysis, and presentation interfaces for digital video. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/29680.

Council of Science Editors:

Diakopoulos NA. Collaborative annotation, analysis, and presentation interfaces for digital video. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/29680


Georgia Tech

13. Oh, Sang Min. Switching linear dynamic systems with higher-order temporal structure.

Degree: PhD, Computing, 2009, Georgia Tech

 Automated analysis of temporal data is a task of utmost importance for intelligent machines. For example, ubiquitous computing systems need to understand the intention of… (more)

Subjects/Keywords: Temporal labeling; Behavior recognition; Pattern recognition; Artificial intelligence; Switching linear dynamic systems; Time-series; Temporal automata; Artificial intelligence; Time-series analysis; Human behavior Observations Data processing

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APA (6th Edition):

Oh, S. M. (2009). Switching linear dynamic systems with higher-order temporal structure. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/29698

Chicago Manual of Style (16th Edition):

Oh, Sang Min. “Switching linear dynamic systems with higher-order temporal structure.” 2009. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/29698.

MLA Handbook (7th Edition):

Oh, Sang Min. “Switching linear dynamic systems with higher-order temporal structure.” 2009. Web. 22 Sep 2019.

Vancouver:

Oh SM. Switching linear dynamic systems with higher-order temporal structure. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/29698.

Council of Science Editors:

Oh SM. Switching linear dynamic systems with higher-order temporal structure. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/29698


Georgia Tech

14. Wu, Jianxin. Visual place categorization.

Degree: PhD, Computing, 2009, Georgia Tech

 Knowing the semantic category of a robot's current position not only facilitates the robot's navigation, but also greatly improves its ability to serve human needs… (more)

Subjects/Keywords: Place categorization; Visual representation; Robot vision; Mobile robots; Context-aware computing; Intelligent control systems

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APA (6th Edition):

Wu, J. (2009). Visual place categorization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/29784

Chicago Manual of Style (16th Edition):

Wu, Jianxin. “Visual place categorization.” 2009. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/29784.

MLA Handbook (7th Edition):

Wu, Jianxin. “Visual place categorization.” 2009. Web. 22 Sep 2019.

Vancouver:

Wu J. Visual place categorization. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/29784.

Council of Science Editors:

Wu J. Visual place categorization. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/29784


Georgia Tech

15. Flagg, Matthew. Capture, analysis and synthesis of photorealistic crowds.

Degree: PhD, Computing, 2010, Georgia Tech

 This thesis explores techniques for synthesizing crowds from imagery. Synthetic photorealistic crowds are desirable for cinematic gaming, special effects and architectural visualization. While motion captured-based… (more)

Subjects/Keywords: Video-based rendering; Crowd synthesis; Cinematography Special effects; Computer simulation

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APA (6th Edition):

Flagg, M. (2010). Capture, analysis and synthesis of photorealistic crowds. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37310

Chicago Manual of Style (16th Edition):

Flagg, Matthew. “Capture, analysis and synthesis of photorealistic crowds.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/37310.

MLA Handbook (7th Edition):

Flagg, Matthew. “Capture, analysis and synthesis of photorealistic crowds.” 2010. Web. 22 Sep 2019.

Vancouver:

Flagg M. Capture, analysis and synthesis of photorealistic crowds. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/37310.

Council of Science Editors:

Flagg M. Capture, analysis and synthesis of photorealistic crowds. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37310


Georgia Tech

16. Zhou, Zhen Hao (Howard). An exemplar-based approach to search-assisted computer-aided diagnosis of pigmented skin lesions.

Degree: PhD, Computing, 2010, Georgia Tech

 Over the years, exemplar-based methods have yielded significant improvements over their model-based counterparts in image synthesis applications. Notably, texture synthesis algorithms using an exemplar-based approach… (more)

Subjects/Keywords: Computer-aided diagnosis; Pigmented skin lesions; Exemplar-based approach; Content-based image retrieval; Imaging systems; Image analysis

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APA (6th Edition):

Zhou, Z. H. (. (2010). An exemplar-based approach to search-assisted computer-aided diagnosis of pigmented skin lesions. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37311

Chicago Manual of Style (16th Edition):

Zhou, Zhen Hao (Howard). “An exemplar-based approach to search-assisted computer-aided diagnosis of pigmented skin lesions.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/37311.

MLA Handbook (7th Edition):

Zhou, Zhen Hao (Howard). “An exemplar-based approach to search-assisted computer-aided diagnosis of pigmented skin lesions.” 2010. Web. 22 Sep 2019.

Vancouver:

Zhou ZH(. An exemplar-based approach to search-assisted computer-aided diagnosis of pigmented skin lesions. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/37311.

Council of Science Editors:

Zhou ZH(. An exemplar-based approach to search-assisted computer-aided diagnosis of pigmented skin lesions. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37311


Georgia Tech

17. Bettadapura, Vinay Kumar. Leveraging contextual cues for dynamic scene understanding.

Degree: PhD, Interactive Computing, 2016, Georgia Tech

 Environments with people are complex, with many activities and events that need to be represented and explained. The goal of scene understanding is to either… (more)

Subjects/Keywords: Computer vision; Machine learning; Ubiquitous computing; Context; Activity recognition; Anomaly detection; Skill classification; Food recognition; Egocentric; Basketball highlights; Sports

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APA (6th Edition):

Bettadapura, V. K. (2016). Leveraging contextual cues for dynamic scene understanding. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54834

Chicago Manual of Style (16th Edition):

Bettadapura, Vinay Kumar. “Leveraging contextual cues for dynamic scene understanding.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/54834.

MLA Handbook (7th Edition):

Bettadapura, Vinay Kumar. “Leveraging contextual cues for dynamic scene understanding.” 2016. Web. 22 Sep 2019.

Vancouver:

Bettadapura VK. Leveraging contextual cues for dynamic scene understanding. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/54834.

Council of Science Editors:

Bettadapura VK. Leveraging contextual cues for dynamic scene understanding. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/54834


Georgia Tech

18. Liu, Yu-Ying. Disease progression modeling using multi-dimensional continuous-time hidden Markov model.

Degree: PhD, Computer Science, 2015, Georgia Tech

 Continuous-Time Hidden Markov Model (CT-HMM) is a useful tool for modeling disease progression from noisy observed data arriving irregularly in time. However, the lack of… (more)

Subjects/Keywords: Disease progression modeling; Continuous-time hidden Markov model; Expectation-maximization methods; Machine learning; Glaucoma

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APA (6th Edition):

Liu, Y. (2015). Disease progression modeling using multi-dimensional continuous-time hidden Markov model. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56161

Chicago Manual of Style (16th Edition):

Liu, Yu-Ying. “Disease progression modeling using multi-dimensional continuous-time hidden Markov model.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/56161.

MLA Handbook (7th Edition):

Liu, Yu-Ying. “Disease progression modeling using multi-dimensional continuous-time hidden Markov model.” 2015. Web. 22 Sep 2019.

Vancouver:

Liu Y. Disease progression modeling using multi-dimensional continuous-time hidden Markov model. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/56161.

Council of Science Editors:

Liu Y. Disease progression modeling using multi-dimensional continuous-time hidden Markov model. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/56161


Georgia Tech

19. Li, Yin. Learning embodied models of actions from first person video.

Degree: PhD, Interactive Computing, 2017, Georgia Tech

 Advances in sensor miniaturization, low-power computing, and battery life have enabled the first generation of mainstream wearable cameras. Millions of hours of videos are captured… (more)

Subjects/Keywords: First person vision; Egocentric vision; Action recognition; Gaze estimation; Computer vision

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APA (6th Edition):

Li, Y. (2017). Learning embodied models of actions from first person video. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59207

Chicago Manual of Style (16th Edition):

Li, Yin. “Learning embodied models of actions from first person video.” 2017. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/59207.

MLA Handbook (7th Edition):

Li, Yin. “Learning embodied models of actions from first person video.” 2017. Web. 22 Sep 2019.

Vancouver:

Li Y. Learning embodied models of actions from first person video. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/59207.

Council of Science Editors:

Li Y. Learning embodied models of actions from first person video. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59207


Georgia Tech

20. Kim, Michael D. Dynamics-based motion de-blurring and panoramic image generation for a compliant camera orientation mechanism.

Degree: PhD, Mechanical Engineering, 2016, Georgia Tech

 This thesis presents a mathematical framework and methods to coordinate motion control and image processing in a fast moving robotic system. The human eye has… (more)

Subjects/Keywords: Dynamics; De-blurring; Panorama; Compliance; Quantized; PZT actuator; Camera

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APA (6th Edition):

Kim, M. D. (2016). Dynamics-based motion de-blurring and panoramic image generation for a compliant camera orientation mechanism. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59125

Chicago Manual of Style (16th Edition):

Kim, Michael D. “Dynamics-based motion de-blurring and panoramic image generation for a compliant camera orientation mechanism.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/59125.

MLA Handbook (7th Edition):

Kim, Michael D. “Dynamics-based motion de-blurring and panoramic image generation for a compliant camera orientation mechanism.” 2016. Web. 22 Sep 2019.

Vancouver:

Kim MD. Dynamics-based motion de-blurring and panoramic image generation for a compliant camera orientation mechanism. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/59125.

Council of Science Editors:

Kim MD. Dynamics-based motion de-blurring and panoramic image generation for a compliant camera orientation mechanism. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/59125


Georgia Tech

21. Vo, Nam Ngoc. Image Retrieval and Geolocalization with Deep Learning.

Degree: PhD, Interactive Computing, 2019, Georgia Tech

 This work studies image localization task and explores image ranking/retrieval approach. Deep Learning has advanced many computer vision task including image retrieval; in addition, location… (more)

Subjects/Keywords: Image geolocalization

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APA (6th Edition):

Vo, N. N. (2019). Image Retrieval and Geolocalization with Deep Learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61194

Chicago Manual of Style (16th Edition):

Vo, Nam Ngoc. “Image Retrieval and Geolocalization with Deep Learning.” 2019. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/61194.

MLA Handbook (7th Edition):

Vo, Nam Ngoc. “Image Retrieval and Geolocalization with Deep Learning.” 2019. Web. 22 Sep 2019.

Vancouver:

Vo NN. Image Retrieval and Geolocalization with Deep Learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/61194.

Council of Science Editors:

Vo NN. Image Retrieval and Geolocalization with Deep Learning. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61194


Georgia Tech

22. Castro, Daniel Alejandro. Understanding The Motion of A Human State In Video Classification.

Degree: PhD, Computer Science, 2019, Georgia Tech

 For the last 50 years we have studied the correspondence between human motion and the action or goal they are attempting to accomplish. Humans themselves… (more)

Subjects/Keywords: action recognition; dance videos; human pose; pose parameterization

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APA (6th Edition):

Castro, D. A. (2019). Understanding The Motion of A Human State In Video Classification. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61262

Chicago Manual of Style (16th Edition):

Castro, Daniel Alejandro. “Understanding The Motion of A Human State In Video Classification.” 2019. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/61262.

MLA Handbook (7th Edition):

Castro, Daniel Alejandro. “Understanding The Motion of A Human State In Video Classification.” 2019. Web. 22 Sep 2019.

Vancouver:

Castro DA. Understanding The Motion of A Human State In Video Classification. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/61262.

Council of Science Editors:

Castro DA. Understanding The Motion of A Human State In Video Classification. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61262


Georgia Tech

23. Humayun, Ahmad. Detection and Incremental Object Learning in Videos.

Degree: PhD, Computer Science, 2018, Georgia Tech

 Unlike state-of-the-art batch machine learning methods, children have a remarkable facility for learning visual representations of objects through a combination of self-directed visual exploration and… (more)

Subjects/Keywords: Video Object Detection; Incremental Learning; Object Proposals

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APA (6th Edition):

Humayun, A. (2018). Detection and Incremental Object Learning in Videos. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61614

Chicago Manual of Style (16th Edition):

Humayun, Ahmad. “Detection and Incremental Object Learning in Videos.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/61614.

MLA Handbook (7th Edition):

Humayun, Ahmad. “Detection and Incremental Object Learning in Videos.” 2018. Web. 22 Sep 2019.

Vancouver:

Humayun A. Detection and Incremental Object Learning in Videos. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/61614.

Council of Science Editors:

Humayun A. Detection and Incremental Object Learning in Videos. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61614

24. Rao, Hrishikesh. Paralinguistic event detection in children's speech.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 Paralinguistic events are useful indicators of the affective state of a speaker. These cues, in children's speech, are used to form social bonds with their… (more)

Subjects/Keywords: Paralinguistic; Speech signal processing; Pattern recognition

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APA (6th Edition):

Rao, H. (2015). Paralinguistic event detection in children's speech. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54332

Chicago Manual of Style (16th Edition):

Rao, Hrishikesh. “Paralinguistic event detection in children's speech.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/54332.

MLA Handbook (7th Edition):

Rao, Hrishikesh. “Paralinguistic event detection in children's speech.” 2015. Web. 22 Sep 2019.

Vancouver:

Rao H. Paralinguistic event detection in children's speech. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/54332.

Council of Science Editors:

Rao H. Paralinguistic event detection in children's speech. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54332

25. Jing, Yushi. Learning an integrated hybrid image retrieval system.

Degree: PhD, Computing, 2012, Georgia Tech

 Current Web image search engines, such as Google or Bing Images, adopt a hybrid search approach in which a text-based query (e.g. "apple") is used… (more)

Subjects/Keywords: Information retrieval; Machine learning; Image retrieval; Digital images; Web search engines; Internet searching; Search engines; Electronic information resource searching

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APA (6th Edition):

Jing, Y. (2012). Learning an integrated hybrid image retrieval system. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43746

Chicago Manual of Style (16th Edition):

Jing, Yushi. “Learning an integrated hybrid image retrieval system.” 2012. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/43746.

MLA Handbook (7th Edition):

Jing, Yushi. “Learning an integrated hybrid image retrieval system.” 2012. Web. 22 Sep 2019.

Vancouver:

Jing Y. Learning an integrated hybrid image retrieval system. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/43746.

Council of Science Editors:

Jing Y. Learning an integrated hybrid image retrieval system. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43746

26. Feldman, Adam Michael. Using observations to recognize the behavior of interacting multi-agent systems.

Degree: PhD, Computing, 2008, Georgia Tech

 Behavioral research involves the study of the behaviors of one or more agents (often animals) in order to better understand the agents' thoughts and actions.… (more)

Subjects/Keywords: Behavior recognition; Multi-target tracking; Behavioral assessment; Automatic data collection systems; Automatic tracking

…names, but you know who you are. Thanks also must go to my friends, both at Georgia Tech and… 

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APA (6th Edition):

Feldman, A. M. (2008). Using observations to recognize the behavior of interacting multi-agent systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24771

Chicago Manual of Style (16th Edition):

Feldman, Adam Michael. “Using observations to recognize the behavior of interacting multi-agent systems.” 2008. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/24771.

MLA Handbook (7th Edition):

Feldman, Adam Michael. “Using observations to recognize the behavior of interacting multi-agent systems.” 2008. Web. 22 Sep 2019.

Vancouver:

Feldman AM. Using observations to recognize the behavior of interacting multi-agent systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/24771.

Council of Science Editors:

Feldman AM. Using observations to recognize the behavior of interacting multi-agent systems. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24771

27. Zia, Aneeq. Automated benchmarking of surgical skills using machine learning.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 Surgical trainees are required to acquire specific skills during the course of their residency before performing real surgeries. Surgical training involves constant practice of skills… (more)

Subjects/Keywords: Surgeon training; Computer vision; Machine learning; Deep learning; Surgical activity recognition; Automated feedback

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APA (6th Edition):

Zia, A. (2018). Automated benchmarking of surgical skills using machine learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60800

Chicago Manual of Style (16th Edition):

Zia, Aneeq. “Automated benchmarking of surgical skills using machine learning.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/60800.

MLA Handbook (7th Edition):

Zia, Aneeq. “Automated benchmarking of surgical skills using machine learning.” 2018. Web. 22 Sep 2019.

Vancouver:

Zia A. Automated benchmarking of surgical skills using machine learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/60800.

Council of Science Editors:

Zia A. Automated benchmarking of surgical skills using machine learning. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60800


Georgia Tech

28. Sharma, Yachna. Surgical skill assessment using motion texture analysis.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 In this thesis, we propose a framework for automated assessment of surgical skills to expedite the manual assessment process and to provide unbiased evaluations with… (more)

Subjects/Keywords: Surgery; Skill; Classification; Prediction; Motion texture; Surgeons Rating of; Motion; Motor ability; Tactile sensors; Algorithms

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APA (6th Edition):

Sharma, Y. (2014). Surgical skill assessment using motion texture analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51890

Chicago Manual of Style (16th Edition):

Sharma, Yachna. “Surgical skill assessment using motion texture analysis.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/51890.

MLA Handbook (7th Edition):

Sharma, Yachna. “Surgical skill assessment using motion texture analysis.” 2014. Web. 22 Sep 2019.

Vancouver:

Sharma Y. Surgical skill assessment using motion texture analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/51890.

Council of Science Editors:

Sharma Y. Surgical skill assessment using motion texture analysis. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51890


Georgia Tech

29. Ahsan, Unaiza. Leveraging Mid-level Representations for Complex Activity Recognition.

Degree: PhD, Interactive Computing, 2019, Georgia Tech

 Dynamic scene understanding requires learning representations of the components of the scene including objects, environments, actions and events. Complex activity recognition from images and videos… (more)

Subjects/Keywords: activity recognition; self-supervised learning; event recognition

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APA (6th Edition):

Ahsan, U. (2019). Leveraging Mid-level Representations for Complex Activity Recognition. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61199

Chicago Manual of Style (16th Edition):

Ahsan, Unaiza. “Leveraging Mid-level Representations for Complex Activity Recognition.” 2019. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/61199.

MLA Handbook (7th Edition):

Ahsan, Unaiza. “Leveraging Mid-level Representations for Complex Activity Recognition.” 2019. Web. 22 Sep 2019.

Vancouver:

Ahsan U. Leveraging Mid-level Representations for Complex Activity Recognition. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/61199.

Council of Science Editors:

Ahsan U. Leveraging Mid-level Representations for Complex Activity Recognition. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61199

30. Roberts, Richard Joseph William. Optical flow templates for mobile robot environment understanding.

Degree: PhD, Interactive Computing, 2014, Georgia Tech

 In this work we develop optical flow templates. In doing so, we introduce a practical tool for inferring robot egomotion and semantic superpixel labeling using… (more)

Subjects/Keywords: Mobile robots; Optical flow; Obstacle detection; Generalized imaging systems

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APA (6th Edition):

Roberts, R. J. W. (2014). Optical flow templates for mobile robot environment understanding. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53473

Chicago Manual of Style (16th Edition):

Roberts, Richard Joseph William. “Optical flow templates for mobile robot environment understanding.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 22, 2019. http://hdl.handle.net/1853/53473.

MLA Handbook (7th Edition):

Roberts, Richard Joseph William. “Optical flow templates for mobile robot environment understanding.” 2014. Web. 22 Sep 2019.

Vancouver:

Roberts RJW. Optical flow templates for mobile robot environment understanding. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1853/53473.

Council of Science Editors:

Roberts RJW. Optical flow templates for mobile robot environment understanding. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53473

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