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Fall 2021

Jiang, Chen

In Activities of Daily Living (ADLs), humans perform thousands of arm and hand object manipulation tasks, such as picking, pouring and drinking a drink. Interpreting such tasks and grasping the underlying concepts of manipulation from vision is straightforward for humans, but difficult for...

Fall 2014

Yau, Timothy HY

The recovery of 3D information from 2D images is a well-studied problem in computer vision, with many competing methods that can achieve highly accurate results. However, relatively little attention has been paid to the problem of 3D reconstruction in underwater environments. When cameras are...

Spring 2016

Hojjati, Saeed

For years, panoramic image stitching has been an interesting problem for re- searchers. Several advances have been made in stitching images that are ac- quired outside of water, but the problem has been poorly explored for under- water images. Image stitching for underwater images can be used in...

Fall 2011

Gedge, Jason

A fundamental component of stereo vision is that of epipolar geometry. It shows that the corresponding point of a pixel in one image is restricted to a line in another image. When a refractive surface is introduced, such as in underwater imaging, this constraint no longer holds. Instead, the...

Spring 2019

Juan Fernando Hernandez Garcia

Unifying seemingly disparate algorithmic ideas to produce better performing algorithms has been a longstanding goal in reinforcement learning. As a primary example, the TD(λ) algorithm elegantly unifies temporal difference (TD) methods with Monte Carlo methods through the use of eligibility...

Fall 2021

Ponnamperuma Arachchige, Ayantha Randika

Optical character recognition (OCR) is a widely used pattern recognition application in numerous domains. Several feature-rich commercial OCR solutions and opensource OCR solutions are available for consumers, which can provide moderate to excellent accuracy levels. These solutions are...

Fall 2023

Singh, Katyani

The recognition performance of Optical Character Recognition (OCR) models can be sub-optimal when document images suffer from various degradations. Supervised learning-based methods for image enhancement can generate high-quality enhanced images. However, these methods require the availability of...

Fall 2021

Yang, Yuchen

Deep neural network (DNN) has been developed rapidly in years. While it shows promising results in various tasks of computer vision, DNN typically suffers from accuracy loss due to the domain shift from a source domain to a target domain. To mitigate the accuracy loss without the label from...

Fall 2018

Trabelsi, Amine

This thesis seeks to contribute to the ongoing research on opinion mining. The contributions are related to the development of newly conceived models for discovery of the viewpoints, and the reasons supporting them, from various polarized contentious texts found in surveys' responses, debate...

Spring 2024

Guzhva, Kostyantyn

Syntactic text simplification, the task of reducing the grammatical complexity of text while preserving the content, can be useful for non-native speakers, text summarization, and other downstream natural language processing tasks. Many traditional methods are rule-based and do not generalize,...