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Events for November

  • PhD Thesis Proposal - Bowen Zhang

    Mon, Nov 15, 2021 @ 02:00 PM - 03:30 PM

    Thomas Lord Department of Computer Science

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    PhD Candidate: Bowen Zhang
    Title: Visual Representation Learning with Structural Prior
    Monday: Nov 15, 2pm
    ,
    Committee members: chair: Prof. Leana Golubchik (CS dept.), Prof. Fei Sha, Prof. Haipeng Luo (CS dept.), Prof. Ram Nevatia (CS dept.), Prof. Laurent Itti (CS dept.), Prof. Shri Narayana (EE dept.).

    Abstract: Artificial intelligence is about designing an intelligent agent that is able to perceive and interact with the environment. The fundamental ability of an intelligent agent is to perceive the visual world. As humans, we understand the visual world through images and videos. For example, images are convenient for describing an object or a scene. Videos are helpful for illustrating an action, an event, or a story. Designing an intelligent agent to understand image and video is an important and not yet solved problem. In this thesis proposal, I demonstrate a set of structural visual representation learning methods developed through my Ph.D. study, which enable the intelligent agent to understand the surrounding visual world through images and videos.

    WebCast Link: https://usc.zoom.us/j/9711928888

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • Mork Family Department Fall Seminars - Michele Manuel, University of Florida

    Tue, Nov 16, 2021 @ 04:00 AM - 05:20 PM

    Mork Family Department of Chemical Engineering and Materials Science

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    Mork Family Department Fall Seminars - Michele Manuel, University of Florida
    Host: Prof. Andrea Hodge

    Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 101

    Audiences: Everyone Is Invited

    Contact: Greta Harrison

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  • PhD Thesis Proposal - Tianye Li

    Tue, Nov 16, 2021 @ 12:30 PM - 01:45 PM

    Thomas Lord Department of Computer Science

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    Date and time:
    Nov 16, Tuesday, 12:30pm -“ 1:45pm

    Committee members:
    Prof. Randall Hill (chair)
    Prof. Stefan Scherer
    Prof. Andrew Nealen (school of cinematic arts)
    Prof. Ramesh Govindan
    Prof. Stefanos Nikolaidis

    Title: Reconstruction and Synthesis for Dynamic Humans and Scenes

    Abstract:

    An immersive VR/AR experience requires high-quality capture for the humans in expressions and motions as well as the dynamic environment. Traditional capture methods take multiple time-consuming and error-prone steps, which also require manual adjustments from professional artists. This thesis proposal proposes an effective yet time-efficient framework, ToFu, that produces topologically consistent meshes across facial identities and expressions, three orders of magnitude faster than traditional techniques. ToFu further captures displacement maps for pore-level geometric details and facilitates high-quality rendering in the form of albedo and specular reflectance maps. These high-quality assets are readily usable by production studios for avatar creation, animation, and physically-based skin rendering. We further propose Neural 3D Video Synthesis, a general method to capture humans together with the environments in dynamics.

    WebCast Link: https://usc.zoom.us/j/4737050753

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • PhD Thesis Proposal - Nada Aldarrab

    Tue, Nov 16, 2021 @ 03:00 PM - 05:00 PM

    Thomas Lord Department of Computer Science

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    Title: Decipherment of Historical Manuscripts

    Committee:
    Jonathan May (chair)
    Aiichiro Nakano
    Aram Galstyan
    Shrikanth Narayanan
    Greg Ver-Steeg


    Abstract:
    Libraries and archives are filled with enciphered documents from the early modern period. Example documents include encrypted letters, diplomatic correspondences, and books from secret societies. Decipherment of classical ciphers is an essential step to reveal the contents of those historical documents.
    This thesis addresses three historical decipherment problems: 1. Automatically transcribing historical documents. 2. Deciphering noisy ciphers and ciphers with an unknown plaintext language. 3. Parsing numerical ciphers. We show how machine translation techniques can be used to help in decipherment and vice versa.




    WebCast Link: https://usc.zoom.us/j/99569732690?pwd=a0FoS3dmejI2My93cHhXT0laVjhBQT09

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • Improv for Engineers Master Class

    Fri, Nov 19, 2021 @ 10:00 AM - 11:00 AM

    USC Viterbi School of Engineering

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    IMPROV FOR ENGINEERS
    MASTER CLASS

    WHEN: Friday, November 19, 10-11am
    WHERE: Grassy area of Alumni Park, directly across from Center for International and Public Affairs (CPA) building WHO: Open to all students currently enrolled in EWP courses


    Program: Improv for Engineers is a co-curricular partnership between the School of Dramatic Arts and the Viterbi School of Engineering. IFE infuses Theater Arts techniques into engineering practice to hone creativity, communication, and collaboration skills. Join in the fun with your classmates and instructors in this interactive and dynamic learning experience.

    https://viterbischool.usc.edu/news/2019/10/yes-and/

    Please contact Program Coordinator Elisabeth Arnold Weiss at arnolde@usc.edu if you would like to attend.


    More Information: Improv for Engineers Master Class flyer_11-19-21.docx

    Location: Grassy area of Alumni Park, directly across from Center for International and Public Affairs (CPA)

    Audiences: All students enrolled in Engineering Writing Program courses

    Contact: Elisabeth Weiss

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