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Filtering by: Creator Sun, Bo Remove constraint Creator: Sun, Bo Committee Member Fern, Alan Remove constraint Committee Member: Fern, Alan

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Deep Convolutional Network on Point Clouds for 3D Scene Understanding

Creator:

Wu, Wenxuan

Abstract:

As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...

Resource Type:

Dissertation
Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Creator:

Khorram, Saeed

Abstract:

In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...

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
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
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
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
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
Toward Automated Decision-Making in Power Systems Wide-Area Protection

Creator:

Meier, Richard John

Abstract:

In recent years there have been many improvements in the reliability of critical infrastructure systems. Despite these improvements and despite targeted efforts to improve the operation and control of the electric grid, the power systems industry has seen relatively small advances in this regard. For instance, today's power system is...

Resource Type:

Masters Thesis
Semantic embodied navigation : developing agents that navigate from language and vision

Creator:

Krantz, Jacob

Abstract:

Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...

Resource Type:

Dissertation
Multiagent learning for locomotion and coordination in tensegrity robotics

Creator:

Iscen, Atil

Abstract:

Tensegrity structures are composed of pure compressional elements that are connected via a network of pure tensional elements. The concept of tensegrity promises numerous advantages to the field of robotics. Tensegrity robots are, however, notoriously difficult to control due to their oscillatory nature and nonlinear interaction between the components. Multiagent...

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Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science10
Mechanical, Industrial, and Manufacturing Engineering1

Advisor

Todorovic, Sinisa5
Li, Fuxin2
Cotilla Sanchez, Eduardo1
Hollinger, Geoffrey1
Lee, Stefan1
more Advisors »

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2014 to 2024

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Committee Member

Fern, Alan[remove]10
Li, Fuxin5
Tadepalli, Prasad2
Zhang, Eugene2
Bolte, John1
more Committee Members »

Creator

Bawaskar, Amit1
Iscen, Atil1
Khorram, Saeed1
Krantz, Jacob1
Lam, Michael Q.1
more Creators »

Contributor

Fu, Xiao1
Li, Fuxin1
Qi, Zhongang1

Date

Date range begin – Date range end

Current results range from 2014 to 2023

View distribution

Decade

2020-20295
2010-20195

Degree Field

Computer Science9
Electrical and Computer Engineering1
Mechanical Engineering1

Degree Level

Doctoral7
Master's3

Degree Name

Doctor of Philosophy (Ph.D.)7
Master of Science (M.S.)3

Language

English [eng]10

License

All rights reserved10

Non-Academic Affiliation

Oregon State University. Graduate School4

Peer Reviewed

No10

Resource Type

Dissertation7
Masters Thesis3

Rights Statement

In Copyright10

Subject

Computer vision2
Computer multitasking1
Electric power distribution1
Evolutionary computation1
Football films -- Computer programs1
more Subjects »

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