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Skip to Search Results- 35Computer Vision
- 10Machine Learning
- 7Deep Learning
- 4Convolutional Neural Networks
- 33D Reconstruction
- 3Artificial Intelligence
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Fall 2015
Determining the viewpoint (pose) of rigid objects in images is a classic vision problem with applications to robotic grasping, autonomous navigation, augmented reality, semantic SLAM and scene understanding in general. While most existing work is characterized by phrases such as "coarse pose...
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Fall 2019
Object detection is an image processing technology to detection different classes of objects using computer vision, i.e. putting bounding boxes over objects from a camera video feed. A landmark detection method was the Viola-Jones Algorithm introduced in 2001. The object classifier in this...
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Fall 2023
This thesis introduces a new approach for grounding concepts to vision using visual descriptions, which are text-based descriptions of visual attributes. We hypothesize that these descriptions can enhance the grounding of concepts to vision, thereby improving performance in vision-language tasks....
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Spring 2024
Human pose estimation and shape modeling serve as critical elements in a wide range of computer vision applications. While most existing research employs RGB cameras for their accessibility and cost-effectiveness, emerging camera technologies and imaging modalities are relatively underexplored....
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Image Registration with Homography: A Refresher with Differentiable Mutual Information, Ordinary Differential Equation and Complex Matrix Exponential
DownloadFall 2020
This work presents a novel method of tackling the task of image registration. Our algorithm uses a differentiable form of Mutual Information implemented via a neural network called MINE. An important property of neural networks is them being differentiable, which allows them to be used as a loss...
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Fall 2022
Convolution Neural Networks (CNNs) have rapidly evolved since their neuroscience beginnings. These models efficiently and accurately classify images by optimizing the model’s hidden representations to these images through training. These representa- tions have been shown to resemble neural data...
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Spring 2022
Can AI-driven robots replace sports officials and rehabilitation physicians in assessing the quality of human activities? An AI judging panel can attend to every nuance of an athlete’s performance and bring more just and agility in scoring. The subjectivity of the judging will be removed and no...
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Learning Deep Representations, Embeddings and Codes from the Pixel Level of Natural and Medical Images
DownloadFall 2013
Significant research has gone into engineering representations that can identify high-level semantic structure in images, such as objects, people, events and scenes. Recently there has been a shift towards learning representations of images either on top of dense features or directly from the...
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Spring 2019
3D reconstruction is an important topic in both computer vision and computer graphics. Many techniques have been proposed for objects with Lambertian reflectance. It assumes that the reflected light from the object surface is uniformly distributed in all directions. However, light interacts with...
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Spring 2023
Simultaneous Localization and Mapping(SLAM) has been very popular in the past and is gaining more traction in the era of autonomous vehicle research and robot manipulation. Computing accurate surface models from sparse Visual SLAM 3D point clouds is difcult. There have been works where...