Skip to Content

Switch language English
- Switch language
- Deutsch
- English
- Español
- Français
- Italiano
- Português do Brasil
- 中文
Login

ScholarsArchive@OSU

Home
About
Help
Contact

Search ScholarsArchive@OSU

Advanced Search

Search Constraints

Start Over

Filtering by: Advisor Todorovic, Sinisa Remove constraint Advisor: Todorovic, Sinisa Committee Member Fern, Alan Remove constraint Committee Member: Fern, Alan Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

« Previous | 1 - 10 of 13 | Next »

Relevance
Title [A-Z]
Title [Z-A]
Date Created ▼
Date Created ▲
Date Uploaded ▼
Date Uploaded ▲

Number of results to display per page

10 per page
20 per page
50 per page
100 per page

View results as:

List Gallery Masonry

Search Results

Part-based and Uncertainty-Aware Few-shot Object Segmentation in Images

Creator:

Nguyen, Khoi D.

Abstract:

This dissertation addresses few-shot object segmentation in images. The goal of segmentation is to label every image pixel with a class of the object occupying that pixel, where the class may represent a semantic object category or instance. In few-shot segmentation, training and test datasets have different classes. Every new...

Resource Type:

Dissertation
Action Segmentation with Limited Supervision

Creator:

Li, Jun

Abstract:

In this dissertation, we address action segmentation in videos under limited supervision. The goal of action segmentation is to predict an action class for each frame of a video. The limited supervision means ground truth labels of video frames are not available in training. We focus on three types of...

Resource Type:

Dissertation
A Deep Action Segmentation and Its Explanation with a Dictionary of Meaningful Attention Maps

Creator:

Trigkakis, Dimitrios

Abstract:

This thesis addresses the problem of temporal action segmentation in videos, where the goal is to label every video frame with the appropriate action class present. We focus on the domain of NFL football videos, where action classes represent common football play types. For action segmentation, we use a temporal...

Resource Type:

Masters Thesis
Fine-Grained Object Recognition Under Limited Training Data

Creator:

Lam, Michael Q.

Abstract:

This dissertation addresses object recognition in challenging settings, where distinct object classes are visually very similar (e.g., species of birds and insects) and/or access to training examples of object classes is limited (e.g., due to the associated high costs of data annotation). In this dissertation, we present a variety of...

Resource Type:

Dissertation
Robust and Efficient Classification of Videos in the Wild

Creator:

Mahasseni, Behrooz

Abstract:

Recognizing human actions in videos is a long-standing problem in computer vision with a wide range of applications including video surveillance, content retrieval, and sports analysis. This thesis focuses on addressing efficiency and robustness of video classification in unconstrained real-world settings. The thesis work can be broadly divided into four...

Resource Type:

Dissertation
Efficient Incremental Panorama Reconstruction from Multiple Videos

Creator:

Feng, Zhongyuan

Abstract:

Constructing a panorama from a set of videos is a long-standing problem in computer vision. A panorama represents an enhanced still-image representation of an entire scene captured in a set of videos, where each video shows only a part of the scene. Importantly, a panorama shows only the scene background,...

Resource Type:

Capstone Project
Object detection in biological images using a search-based framework

Creator:

Lam, Michael

Abstract:

This thesis addresses a basic problem in computer vision, that of semantic labeling of images. Our work is aimed at object detection in biological images for evolutionary biology research. In particular, our goal is to detect nematocysts in Scanning Electron Microscope (SEM) images. This biological domain presents challenges for existing...

Resource Type:

Masters Thesis
Interactive player tracking for videos in American football

Creator:

Bawaskar, Amit

Abstract:

This thesis presents an interactive software tool for tracking a moving object in a video. In particular, we focus on the problem of tracking a player in American football videos. Object tracking is one of the fundamental problems in computer vision. It is one of the most important components in...

Resource Type:

Masters Thesis
Hierarchical graphical models for activity recognition in videos

Creator:

Amer, Mohamed R.

Abstract:

This dissertation addresses the problem of recognizing human activities in videos. Our focus is on activities with stochastic structure, where the activities are characterized by variable space-time arrangements of actions, and conducted by a variable number of actors. These activities occur frequently in sports and surveillance videos. They may appear...

Resource Type:

Dissertation
Analysis of bio-based composites for image segmentation with the aid of games

Creator:

Inouye, Jennifer A.

Abstract:

A fundamental problem in computer vision is to partition an image into meaningful segments. While image segmentation is required by many applications, the thesis focuses on segmentation of computed tomography (CT) images for analysis and quality control of composite materials. The key research contribution of this thesis is a novel...

Resource Type:

Masters Thesis

« Previous
Next »
1
2

Limit your search

Academic Affiliation

Electrical Engineering and Computer Science13

Advisor

Todorovic, Sinisa[remove]13

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2011 to 2021

View distribution

Committee Member

Fern, Alan[remove]13
Li, Fuxin5
Dietterich, Thomas4
Zhang, Eugene3
Bailey, Michael2
more Committee Members »

Creator

Amer, Mohamed R.2
Bawaskar, Amit1
Brendel, William1
Feng, Zhongyuan1
Inouye, Jennifer A.1
more Creators »

Date

Date range begin – Date range end

Current results range from 2011 to 2021

View distribution

Decade

2020-20292
2010-201911

Degree Field

Computer Science11
Electrical and Computer Engineering2

Degree Level

Doctoral7
Master's6

Degree Name

Doctor of Philosophy (Ph.D.)7
Master of Science (M.S.)6

Language

English [eng]13

License

All rights reserved13

Non-Academic Affiliation

Oregon State University. Graduate School8

Peer Reviewed

No12

Resource Type

Dissertation7
Masters Thesis5
Capstone Project1

Rights Statement

In Copyright[remove]13

Subject

Computer vision6
Human activity recognition2
Machine learning2
Computer multitasking1
Football films -- Computer programs1
more Subjects »

Scholars Archive is a service of Oregon State University Libraries & Press

121 The Valley Library
Corvallis, OR 97331-4501

Contact Us
Services for Persons with Disabilities

Powered by Hyrax 3.6.0

Copyright © 2018 Oregon State University
Licensed under the Apache License, Version 2.0

Core Trust application (pdf)