[AI Seminar Series] REMINDER --- Seminar by Dr. Shao-Yuan Lo (Honda Research Institute), MONDAY March 10, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

Reminder for the next AI Seminar, which will be this Monday March 10,at 
noon.

Please use the link below to register if you plan to attend.

Sincerely,

V. Tsotras

-----------------------------

On 3/4/25 5:37 PM, Vassilis Tsotras wrote:
> Dear colleagues,
> we will have another AI Seminar on Monday, March 10, 12:00-1:00pm at 
> the MRB Seminar Room (1st floor). (This is in addition to the seminar 
> we have this Friday by Prof. Zhu from Northwestern U.)
>
> **** Pizza and refreshments will be provided ****
>
> To keep track of the number of attendees, please *register* at:
> https://www.eventbrite.com/e/ai-seminar-series-tickets-1269981541979
>
> The talk will be given by by Dr. Shao-Yuan Lo, Honda Research 
> Institute, USA
>
> TITLE:
> "Anomaly Detection in the Era of Multimodal Large Language Models"
>
>
> ABSTRACT:
> Anomaly Detection (AD) focuses on identifying anomalies by learning 
> exclusively from normal samples, as collecting anomalous data is often 
> costly and limited due to its long-tailed distribution. Given its 
> practical significance, AD has been widely deployed in applications 
> such as industrial defect inspection and security surveillance. In 
> recent years, Multimodal Large Language Models (MLLMs) have shown 
> revolutionary capabilities across various vision tasks, yet their 
> potential in AD remains underexplored. How can AD benefit from MLLMs? 
> What breakthroughs can MLLMs bring to this long-established vision 
> problem? In this talk, we will discuss state-of-the-art MLLM-based AD 
> methods for both image and video scenarios. Key advancements, 
> including few-/zero-shot learning, multimodal reasoning, instruction 
> data, benchmarking, and real-world adaptability, will be highlighted. 
> We will conclude by exploring future directions and open challenges, 
> aiming to bridge the gap between AD research and the rapid progress in 
> MLLMs.
>
>
>
> Bio:
>
> Shao-Yuan Lo is a Research Scientist at Honda Research Institute USA. 
> He received his Ph.D. from Johns Hopkins University in 2023, and M.S. 
> and B.S. degrees from National Chiao Tung University in 2019 and 2017, 
> respectively. His recent research focuses on Multimodal LLMs and 
> Trustworthy AI. He has first/corresponding-authored nearly 20 
> publications, such as IEEE T-PAMI, IEEE T-IP, CVPR and ECCV. He won 
> the Best Paper Award at ACM Multimedia Asia 2019.
>
>
> ------------------------------------
> Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents 
> speakers working on cutting edge Foundational AI or apply AI in their 
> research. The goal of these seminars is to inform the UCR community 
> about current trends in AI research and promote collaborations between 
> faculty in this emerging field.
> These seminars are open to interested faculty and graduate students. 
> Please forward this email to other colleagues or graduate students in 
> your lab that may be interested. After the seminar a discussion will 
> follow for questions, open problems, ideas for possible collaborations 
> etc.
>
> Sincerely,
> Vassilis Tsotras
> Professor, CSE Department
> co-Director, RAISE at UCR Institute
>
> Amit Roy-Chowdhury
> Professor, ECE Department
> co-Director, RAISE at UCR Institute