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Filtering by: Creator Piola, Alberto R. Advisor Todorovic, Sinisa Degree Field Computer Science

Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

Creator:

Lei, Peng

Abstract:

This dissertation addresses the problem of video labeling at both the frame and pixel levels using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal video segmentation and ii) Boundary detection and boundary flow estimation. For the problem of spatiotemporal video segmentation, we have developed recurrent...

Resource Type:

Dissertation

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takes previous RTDF predictions yr
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

Full Text:

Qualcomm Corp R&D. I am also grateful to my good friends and colleagues, in university and my internships
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

Full Text:

weights, and the latter explicitly predicts uncertainty of predicting the left (L), right (R), top (T