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X-ORIGINAL-URL:https://coe.northeastern.edu
X-WR-CALDESC:Events for Northeastern University College of Engineering
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UID:26761-1627912800-1627916400@coe.northeastern.edu
SUMMARY:ECE PhD Dissertation Defense: Yulun Zhang
DESCRIPTION:PhD Dissertation Defense: Deep Convolutional Neural Network for Image Restoration and Synthesis \nYulun Zhang \nLocation: Zoom Link \nAbstract: Image restoration and synthesis with deep learning play a fundamental role in the computer vision community. They are widely used on mobile devices (e.g.\, smartphones) or lead to billion-dollar startups. However\, how to design efficient deep convolutional neural networks (CNNs) to extract higher-quality deep CNN features for better image restoration and synthesis is still challenging. In this dissertation talk\, I will describe my recent works to enhance CNN features in the channel dimension or/and the spatial dimensions. First\, for image restoration\, I will briefly introduce our proposed residual dense network. Then\, I will introduce the residual in residual (RIR) structure to train very deep super-resolution networks. Such an RIR structure could also make the network learn more high-frequency information\, being critical for high-resolution output. Attention mechanism (e.g.\, channel attention and spatial attention) is further explored to highlight the features. Second\, for image synthesis\, I will introduce multimodal style transfer via graph cuts. I visualize the deep features and find the multimodal style representation. I then formulate the style matching problem as an energy minimization one\, which could be solved via graph cuts. As a result\, the transferred features contain spatially semantic information\, providing more visually pleasing stylized results. Besides\, we investigate image synthesis about texture hallucination with large scaling factors. We propose an efficient high-resolution hallucination network for very large scaling factors.
URL:https://coe.northeastern.edu/event/ece-phd-dissertation-defense-yulun-zhang/
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CREATED:20210719T153457Z
LAST-MODIFIED:20210719T153457Z
UID:26667-1627912800-1627920000@coe.northeastern.edu
SUMMARY:Creative Expression Workshops Series: The Power of 'Yes\, and...'
DESCRIPTION:MONDAY\, AUGUST 2\, 2021\n2:00 – 4:00pm\nVenue: Boston Campus\, details to follow soon\nSign up via this FORM. \nNU College of Engineering and the Department of Theatre (CAMD) are excited to host in-person creative expression workshops that help foster confidence building\, reflexivity\, collaboration and more. \nTheatre-based improvisation provides a playful environment in which to discover\, to understand and to maximize the ways in which we interact\, communicate and collaborate with others. Above all\, Improvisation helps us embrace failure as the only possible way towards real success.\n​\nParticipants will be presented with a variety of exercises that explore community and team building\, spatial awareness\, mental agility\, status\, adaptability\, risk taking\, intuition\, physical presence and relaxation. \nThe ultimate goal is for participants to experience more confidence in their ability to command the attention of an audience\, large or small\, and to be able to deepen their ability to collaborate effectively. \nAfter participating in the series\, team members may be able to: \n· Recognize and quickly adapt how they present themselves to others;\n· Read situations accurately\, practicing critical observation skills;\n· React to unexpected situations with confidence and agility;\n· Listen more deeply to others;\n· Find creative resolutions to improvised conflicts. \nINSTRUCTOR: Jesse Hinson\, Associate Teaching Professor of Theatre
URL:https://coe.northeastern.edu/event/creative-expression-workshops-series-the-power-of-yes-and/
ORGANIZER;CN="Graduate School of Engineering":MAILTO:coe-gradadmissions@northeastern.edu
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