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Events for March 01, 2021

  • CS Colloquium: Hengshuang Zhao (University of Oxford) - Advancing Visual Intelligence via Neural System Design

    Mon, Mar 01, 2021 @ 09:00 AM - 10:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Hengshuang Zhao, University of Oxford

    Talk Title: Advancing Visual Intelligence via Neural System Design

    Series: CS Colloquium

    Abstract: Building intelligent visual systems is essential for the next generation of artificial intelligence systems. It is a fundamental tool for many disciplines and beneficial to various potential applications such as autonomous driving, robotics, surveillance, augmented reality, to name a few. An accurate and efficient intelligent visual system has a deep understanding of the scene, objects, and humans. It can automatically understand the surrounding scenes. In general, 2D images and 3D point clouds are the two most common data representations in our daily life. Designing powerful image understanding and point cloud processing systems are two pillars of visual intelligence, enabling the artificial intelligence systems to understand and interact with the current status of the environment automatically. In this talk, I will first present our efforts in designing modern neural systems for 2D image understanding, including high-accuracy and high-efficiency semantic parsing structures, and unified panoptic parsing architecture. Then, we go one step further to design neural systems for processing complex 3D scenes, including semantic-level and instance-level understanding. Further, we show our latest works for unified 2D-3D reasoning frameworks, which are fully based on self-attention mechanisms. In the end, the challenges, up-to-date progress, and promising future directions for building advanced intelligent visual systems will be discussed.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Biography: Dr. Hengshuang Zhao is a postdoctoral researcher at the University of Oxford. Before that, he obtained his Ph.D. degree from the Chinese University of Hong Kong. His general research interests cover the broad area of computer vision, machine learning and artificial intelligence, with special emphasis on building intelligent visual systems. He and his team won several champions in competitive international challenges like ImageNet Scene Parsing Challenge. He is recognized as outstanding/top reviewers in ICCV'19 and NeurIPS'19. He receives the rising star award at the world artificial intelligence conference 2020. Some of his research projects are supported by Microsoft, Adobe, Uber, Intel, and Apple. His works have been cited for about 5,000+ times, with 5,000+ GitHub credits and 80,000+ YouTube views.

    Host: Ramakant Nevatia

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

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  • Central Intelligence Agency Career Opportunities Info Session

    Mon, Mar 01, 2021 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Career Connections

    University Calendar


    Log in and learn about career opportunities at the Central Intelligence Agency!

    All degree levels and Viterbi majors welcome.

    Hear about different career paths, and get the chance to ask a Central Intelligence Agency recruiter about what it is like to work there, the hiring process, what opportunities they have, and more.

    You will also be able to sign up for one-on-one office hour phone calls with Central Intelligence Agency recruiters taking place next week, March 8th.

    Registration: Link Coming soon!

    NOTE: The Central Intelligence Agency cannot sponsor international candidates.

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • PhD Defense - Kan Qi

    Mon, Mar 01, 2021 @ 12:00 PM - 02:00 PM

    Computer Science

    University Calendar


    PhD Candidate: Kan Qi

    Committee:
    Prof. Barry Boehm (chair)
    Prof. Paul Adler (outside)
    Prof. Chao Wang

    Title: Incremental Effort Estimation via Transaction Analysis

    Accurate software cost and effort estimation is particularly important for many classes of software projects. Examples are projects with fixed budget, competitive bidding on prospective projects, or prioritization of candidate projects. Many organizations primarily rely on commercial or open-source cost estimation models, which have been calibrated on the actual sizes and costs of previous projects. Their key size parameter is generally the number of lines of code in the projects. This can be accurately determined via a code-count system on the previous projects, but there is no counterpart for estimating the lines of code in the system to be developed. One can try to break the system into pieces and estimate the lines of code in each piece but doing this accurately will generally require additional time and effort to design the system. Alternative early effort estimation methods such as story points, use case points, and function points involve determining the system's numbers and complexities of user stories, use cases, inputs, outputs, queries, and logical files, which again typically require additional time and effort to analyze the functionality and architecture. In summary, there are two limitations that prevent the existing effort estimation methods from being effectively used for early effort estimation. First, the existing methods require extensive manual analysis effort to acquire system information as their input. This makes it costly to apply the existing methods at the early stage of a software project. Secondly, the system information that the existing methods rely on as the input can usually only be retrieved from certain types of system specifications. This makes the existing methods only applicable at the development phases where the required types of system specifications are produced.

    To address the first limitation, an automated transaction analysis method is proposed, which can be used to automatically retrieve transactional information from the typical early-phase artifacts produced in a software project; To address the second limitation, three phase-based effort estimation models are proposed, which utilize the retrieved transactional information to provide effort estimates at all the typical early phases of a software project. The evaluation results have shown that the automated transaction analysis method can be an effective replacement of manual transaction analysis with high transaction identification accuracy, and the phase-based effort estimation models can provide considerable estimation accuracy improvements over the existing effort estimation models and the later-phase effort estimation models can provide significant accuracy improvements over the earlier-phase effort estimation models.






    WebCast Link: https://usc.zoom.us/j/98532742081?pwd=a2VLK1NEQUNKK3BWOWdLN01ZUUNrZz09

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • Tour de L.A. Viterbi Wellness Challenge

    Mon, Mar 01, 2021 @ 03:00 PM - 04:00 PM

    Computer Science

    Student Activity


    Tour de L.A. is a Viterbi Wellness Challenge promoting health of the mind, body, and soul in a safe, virtual, but still engaging, environment. This month-long adventure is designed after the Tour de France, and highlights attractions in Los Angeles. Starting on March 1, 2021 and continuing the whole month of March, participants can walk, run, or bike from wherever they are to progress through the challenge. Although these activities are often solitary and people are scattered all over the world, there are plenty of communal and social opportunities to come together virtually. The Tour de L.A. is open to the entire Viterbi community, in an effort to promote health and well-being. Let's do this together! #WellnessOn

    https://viterbigrad.usc.edu/tour-de-l-a-viterbi-wellness-challenge/

    Location: Online - Zoom

    WebCast Link: https://viterbigrad.usc.edu/tour-de-l-a-viterbi-wellness-challenge/

    Audiences: Everyone Is Invited

    Contact: Viterbi Graduate Student Association (VGSA)

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  • Virtual Networking 101

    Mon, Mar 01, 2021 @ 04:00 PM - 04:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Increase your career and internship knowledge on networking by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.

    To access this workshop:
    Log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.

    Location: Online

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • ACM Debugging Competition

    Mon, Mar 01, 2021 @ 07:00 PM - 08:00 PM

    Computer Science

    Student Activity


    Debugging Competition - Monday, March 1st at 7pm - Do you enjoy programming? Want to practice your debugging skills and compete for prizes? Join ACM on Monday, March 1, 2021, from 7-8 PM for some friendly competition, as you put to test your debugging skills and make new friends. The competition is open to people of all levels! There will also be exciting prizes.
    We hope to see you there!
    RSVP Link: https://forms.gle/tnhGPTJ4WY2WUJTZ9
    Zoom Link - https://usc.zoom.us/j/97205032289

    To hear about more of ACM's events, sign up for our newsletter here: https://uscacm.typeform.com/to/D5igbqTP

    Location: Online

    Audiences: Undergraduate and Graduate Students

    Contact: Caitlin Swanson

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