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Filtering by: Creator Thomas, Christoph Remove constraint Creator: Thomas, Christoph Advisor Li, Fuxin Remove constraint Advisor: Li, Fuxin

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Towards Annotation-Efficient Video Representation Learning

Creator:

Patravali, Jay Sanjay

Abstract:

Labeling videos is costly, time-consuming and tedious. These costs can escalate in applications such as medical diagnosis or autonomous driving where we need domain expertise for annotation. Few-shot action recognition aims to solve this problem by annotation-efficient learning mechanisms. This thesis presents MetaUVFS as the first Unsupervised Meta-learning algorithm for...

Resource Type:

Masters Thesis
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
Leveraging Structures of the Data in Deep Learning

Creator:

Li, Xingyi

Abstract:

The performance of deep learning frameworks could be significantly improved through considering the particular underlying structures for each dataset. In this thesis, I summarize our three work about boosting the performance of deep learning models through leveraging structures of the data. In the first work, we theoretically justify that, for...

Resource Type:

Dissertation
Deep Perception Without a Camera: Enabling 3D Reconstruction and Object Recognition using Lidar and Sonar Sensing

Creator:

DeBortoli, Robert A.

Abstract:

Deep learning has recently revolutionized robot perception in many canonical robotic applications, such as autonomous driving. However, a similar transformation has yet to occur in more harsh environments including underwater and underground. This is due in part to the difficulty in deploying robots in these environments, which lack large real...

Resource Type:

Dissertation
Generative Models Meet Explainable AI and Long-Tail Learning: from Attribution Maps to Image Synthesis

Creator:

Khorram, Saeed

Abstract:

The advancement of artificial intelligence (AI) has led to transformative developments across multiple sectors, fostering innovation and redefining our interactions with technology. As AI matures and becomes integrated into society, it offers numerous opportunities to address global challenges and revolutionize a wide array of human endeavors. These advances are driven...

Resource Type:

Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science3
Mechanical, Industrial, and Manufacturing Engineering1

Advisor

Li, Fuxin[remove]5
Fern, Xiaoli Z.1
Hollinger, Geoffrey1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2021 to 2023

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Committee Member

Todorovic, Sinisa3
Fern, Alan2
Turkan, Yelda2
Chen, Lizhong1
Grimm, Cindy1
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Creator

Debortoli, Robert A.1
Khorram, Saeed1
Li, Xingyi1
Patravali, Jay Sanjay1
Wu, Wenxuan1

Contributor

Fern, Xiaoli Z.1
Li, Fuxin1
Qi, Zhongang1
Raich, Raviv1
Wu, Wenxuan1

Date

Date range begin – Date range end

Current results range from 2020 to 2023

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Decade

2020-20295

Degree Field

Computer Science3
Robotics2

Degree Level

Doctoral4
Master's1

Degree Name

Doctor of Philosophy (Ph.D.)4
Master of Science (M.S.)1

Language

English [eng]5

License

All rights reserved5

Non-Academic Affiliation

Oregon State University. Collaborative Robotics and Intelligent Systems (CoRIS) Institute1

Peer Reviewed

No5

Resource Type

Dissertation4
Masters Thesis1

Rights Statement

In Copyright5

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