Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 21 for “"computer vision (CV)"”.
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SeaVipers - Computer Vision and Inertial Position Reference Sensor System (CVIPRSS)
… the design and development of an optical, Computer Vision (CV) based sensor for use as a Position Reference System (PRS) in Dynamic Positioning (DP). Using a combination of robotics and CV techniques, the sensor provides range and heading information to a selected reference object. The …
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Feed Me: an in-situ Augmented Reality Annotation Tool for Computer Vision
… technology has enabled the combination of Computer Vision (CV) and Augmented Reality (AR) to allow users to interface with digital artifacts between indoor and outdoor activities. For example, AR systems can feed images of the local environment to a trained neural network for object …
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Multiple Tasks are Better than One: Multi-task Learning and Feature Selection for Head Pose Estimation, Action Recognition and Event Detection
Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and videos and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information. The classical problem in computer vision is that of …
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Adversarial RFML: Evading Deep Learning Enabled Signal Classification
… have been shown, in other applications such as Computer Vision (CV), to be vulnerable to what are known as adversarial evasion attacks, which consist of corrupting an underlying example with a small, intelligently crafted, perturbation that causes a DNN to misclassify the example. This thesis …
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Effect of Heating Rate on Thermally Induced Pore Water Pressure and Crack Evolution in Clay and Shales
… of cutting-edge Machine Learning (ML) and Computer Vision (CV) techniques to enhance the precision, efficiency, and accuracy of thermal crack detection, localization, and segmentation. This innovative approach aims to overcome the challenges associated with visually identifying and …
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Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems
… fields of Natural Language Processing (NLP), Computer Vision (CV), Speech Recognition (SR), and Reinforcement Learning (RL). A significant challenge in applying DL in most domains is the scarcity of labelled data. Usually, DL models need large amounts of annotated data to train models. The …
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Heat Vulnerability and Risk Analytics for The Built Environment
… such as aerial thermography coupled with Computer Vision (CV) and Machine Learning (ML) techniques to assess the thermal performance of building envelopes to provide actionable data for adaptation strategies at both the building and district levels. Finally, an evaluation framework to …
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Towards Secure and Resilient Machine Learning Systems
… extending beyond traditional domains such as computer vision (CV) and natural language processing (NLP). One of the most significant breakthroughs is the development of transformer models, which leverage the attention mechanism to achieve state-of-the-art performance across various tasks. …
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On Disentangled Analysis-by-Synthesis Shape Representations
… the representation learning of 3D shape via computer vision (CV). In particular, we explore the Analysis-by-Synthesis (AbS) paradigm, which postulates perceptual inference as the inversion of a generative process. This provides several advantages: weak supervision, via the reconstructive …
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Evaluating Temporal Queries over Videos
… size, and variety of content. Recent advances in Computer Vision (CV) algorithms have improved accuracy and efficiency, making video annotations possible with high accuracy. In this work, we follow a general framework to first obtain annotations utilizing state-of-the-art CV algorithms, and then …
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AI Approaches for Feature Extraction in Multimodal Biomedical Data
… pipeline for in silico nerve stimulation using computer vision (CV); 2. Probability Gradient Thresholding (PGT), a deep learning-based dynamic time window extraction method for the identification of neuronal compound action potential (CAP) spikes from neuronal recordings; and 3. Latent Semantic …
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Going Deeper with Images and Natural Language
… (NLP). It is quite often for us to see that now computers are able to almost perfectly do text classification, machine translation, etc. However, despite much inspiring progress, most of the achievements made are still within one domain, not handling inter-domain situations. The interaction …
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Human Computer Interaction Design for Assisted Bridge Inspections via Augmented Reality
… leveraging Augmented Reality (AR) and computer vision (CV) technologies to facilitate measurements. Named the Wearable Inspection Report Management System (WIRMS), the system supports various data entry methods and an adaptable automation workflow for defect measurements, showcasing …
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Optical Satellite/Component Tracking and Classification via Synthetic CNN Image Processing for Hardware-in-the-Loop testing and validation of Space Applications using free flying drone platforms
… technologies into the Aerospace sector, such as computer vision (CV), machine learning (ML), and distributed networking. All these technologies are necessary to enable genuinely autonomous decision-making for space-borne platforms as our spacecraft travel further into the solar system, and our …
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Principled Methods for Advancing Generative Machine Learning
… a series of groundbreaking advances. In computer vision (CV), diffusion models mark a major milestone — they can synthesize photo-realistic and diverse images, outperforming previous state-of-the-art approaches such as generative adversarial networks (GANs). In computer graphics, Gaussian …
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Non-man-entry sewer renovation robot characteristics.
… In particular, sewer renovation methods, computer vision (CV) and robotics are all included. More specifically, the key objective of the research programme was to investigate the characteristics of retrofit components suited to mounting on an industrial / proprietary sewer tractor. The …
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Computer Vision-assisted Battery-free RFID Systems for Object Recognition, Localization and Orientation
… RFID-based systems. This thesis introduces computer vision (CV) techniques into RFID systems to minimize the impact of RF phase periodicity and multipath interference. In the thesis, three categories of CV-assisted battery-free RFID systems for object recognition, localization and …
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Behind the Scenes: Evaluating Computer Vision Embedding Techniques for Discovering Similar Photo Backgrounds
… time-consuming, and unsuccessful. AI-based computer vision algorithms could be used to automatically identify painted backdrops or photographers or cluster photos with similar backdrops in order to aid researchers. However, it is unknown which computer vision algorithms are feasible for …
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Natural language image description: data, models, and evaluation
Made available in DSpace on 2016-03-02T19:33:52Z (GMT). No. of bitstreams: 4 HODOSH-DISSERTATION-2015.pdf: 33671796 bytes, checksum: 1f9350bc33a01a78722da502ecf52e0a (MD5) JAIR Permission.pdf: 184972 bytes, checksum: c985c2684d03383ef5292dbf559e1465 (MD5) LICENSE.txt: 4209 bytes, checksum: …
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