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

[Vassilis Tsotras]

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.


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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