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Conferences, Lectures, & Seminars
Events for December

  • [Theory Seminar] Vaggos Chatziafratis (Northwestern Unviersity) - Hierarchical Clustering: Recent Progress and Open Questions

    Thu, Dec 02, 2021 @ 10:30 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Vaggos Chatziafratis, Northwestern University

    Talk Title: Hierarchical Clustering: Recent Progress and Open Questions

    Abstract: Hierarchical Clustering is an important tool for unsupervised learning whose goal is to construct a hierarchical decomposition of a given dataset describing relationships at all levels of granularity simultaneously. Despite its long history, Hierarchical Clustering was underdeveloped from a theoretical perspective, partly because of a lack of suitable objectives and algorithms with guarantees. In this talk, I want to tell you about the recent progress in the area with an emphasis on approximation algorithms and hardness results, and also highlight some interesting open problems.

    Biography: Vaggos Chatziafratis' primary interests are in Algorithms and Machine Learning Theory. He is currently a postdoc at Northwestern and he will be a FODSI fellow at MIT and Northeastern starting January. He will also be joining UC Santa Cruz in Fall 2022 as an Assistant Professor.

    Before that, he was at Google Research in New York, where he was part of the Algorithms and Graph Mining teams. Prior to that, he received his Ph.D. in Computer Science at Stanford, advised by Tim Roughgarden and co-advised by Moses Charikar. He received a Diploma in EECS from the National Technical University of Athens, Greece.


    Host: Curtis Bechtel

    Location: Henry Salvatori Computer Science Center (SAL) - 213

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

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  • Repeating EventUSC AI Futures Symposium on AI with Common Sense

    Tue, Dec 07, 2021 @ 09:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science, Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Multiple panelists, USC and collaborators

    Talk Title: AI with Common Sense

    Series: USC AI Futures Symposium on AI

    Abstract: Humans use common sense knowledge to understand how the world works. AI systems still lack common sense knowledge, which is critical in many domains in order to form expectations, manage unexpected situations, and connect with the human experience. This symposium presents an overview of research at USC on acquiring and organizing commonsense knowledge, integrating it into AI systems, and measuring its impact on improving AI system behaviors and interactions with people.

    This event is part of the USC AI Futures Symposium Series. Prior events were held in May 2021 with the theme: AI and Data Science, and in January 2021 with the theme: Will AIs Ever Be One of Us?.

    Please visit website to register and view updated information https://isi-usc-edu.github.io/USC-CommonSense-Symposium/


    Host: Yolanda Gil

    Location: Virtual

    Audiences: Everyone Is Invited

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    Contact: Lori Weiss/USC ISI

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  • Repeating EventUSC AI Futures Symposium on AI with Common Sense

    Wed, Dec 08, 2021 @ 09:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science, Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Multiple panelists, USC and collaborators

    Talk Title: AI with Common Sense

    Series: USC AI Futures Symposium on AI

    Abstract: Humans use common sense knowledge to understand how the world works. AI systems still lack common sense knowledge, which is critical in many domains in order to form expectations, manage unexpected situations, and connect with the human experience. This symposium presents an overview of research at USC on acquiring and organizing commonsense knowledge, integrating it into AI systems, and measuring its impact on improving AI system behaviors and interactions with people.

    This event is part of the USC AI Futures Symposium Series. Prior events were held in May 2021 with the theme: AI and Data Science, and in January 2021 with the theme: Will AIs Ever Be One of Us?.

    Please visit website to register and view updated information https://isi-usc-edu.github.io/USC-CommonSense-Symposium/


    Host: Yolanda Gil

    Location: Virtual

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Lori Weiss/USC ISI

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • CS Colloquium: Yajie Zhao (USC ICT) - Automating 3D Contents Creation for AR/VR

    Wed, Dec 08, 2021 @ 03:30 PM - 04:30 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Yajie Zhao, USC

    Talk Title: Automating 3D Contents Creation for AR/VR

    Abstract: The last couple of years have shown an incredible boost in performance, quality of real-time applications of AR/VR. The creation of high quality 3D assets, including virtual human, objects and 3D environments is tied with complex capture equipment, massive data, a long production cycle and intensive manual labor by a professional team. And it may still be in the notorious Uncanny Valley. In this talk, I will explore how to produce high quality 3D assets in a low-cost way. I will discuss how to leverage AI-based technologies to automate, accelerate, and simplify the industrial production procedure of 3D contents creation from data capturing to rendering. And bring photorealism to the next level!

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Join Zoom Meeting
    https://usc.zoom.us/j/97098103729

    Meeting ID: 970 9810 3729


    Biography: Dr. Yajie Zhao is a computer scientist at USC Institute for Creative Technologies (ICT), University of Southern California. She is currently the acting director of the Vision and Graphics Lab of USC-ICT. Her research interests are high-quality 3D content creation for AR/VR, which includes human digitization, performance capturing, and scene reconstruction/ understanding. Yajie Zhao earned her Ph.D. degree in 2017 from the University of Kentucky under the supervision of Dr. Ruigang Yang.

    Host: Aram Galstyan

    Audiences: Everyone Is Invited

    Contact: Cherie Carter

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