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UCF Board of Trustees - September 2025 Update on AI

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Research PSY 111 2 1 16 2025 12 00 PM

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50:36

“AI and ML research in pre-clinical and clinical healthcare app..” by Dr. Curtis Lisle, KnowledgeVis

59:02

"Generalization toward Novel Scenarios: From Algorithms to Applications" by Song Wang, U of Virginia

01:05:10

"Towards Scalable and Privacy-Preserving Graph Learning via System-aware Algorithm Design" by H. Yin

01:02:50

“Learning to Learn Under Uncertainty: ...” by Mr. Mudit Gaur, Purdue University

01:06:20

“From Vision to Translation: ...” by Dr. Pegah Khosravi, CUNY

01:03:04

“Beyond 2D Pixels: ...” by Wanhua Li, Harvard University

11:05

Oral Paper Presentation: How Important are Videos for Training Video LLMs?

11:47

Challenge Track 2: Complex Video Reasoning & Robustness Evaluation (CVRR) and Winner Presentation

08:53

Challenge Track 3: Multi Lingual Challenge and Winner Presentation

12:45

Challenge Track 1: Composed Video Retrieval (CoVR) Challenge and Winner Presentation

30:08

Keynote Talk 4: Cordelia Schmid, Google & INRIA

27:17

Keynote Talk 2: Mohamed Elhoseiny, KAUST

36:38

Keynote Talk 1: Chelsea Finn, Stanford University

46:51

Keynote Talk 6: Fahad Khan, MBZUAI & Linkoping University

34:24

Keynote Talk 5: Mohit Bansal, UNC & Amazon

31:54

Keynote Talk 3: Afshin Dehghan, Apple

05:03

Opening Remarks by Prof. Dr. Mubarak Shah and Swetha Sirnam, UCF

18:22

Paper 10: Open-set Bias Detection in Text-to-Image Generative Models

22:37

Paper 11: Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models

13:29

Paper 12: Private Attribute Inference from Images with Vision-Language Models

25:57

Paper 8: SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation

01:12:32

"Privacy and Bias in Computer Vision Guest Talk" Guest Talk by Dr. Mubarak Shah

01:09:28

"Machine Learning and Optimization for Understanding Spatiotemporal Systems" by Dr. Xinyu Chen, MIT

01:01:41

"Pedagogy Meets AI: Challenges & Innovations in LLM-Powered..." by Shashank Sonkar, Rice University

01:04:37

"Seeing Beneath the Surface..." by Dr. Xiaomin Lin, Johns Hopkins University

58:16

"Utilizing Mathematical Structures for Efficient Machine Learning" by Dr. Wu Lin, Vector Institute

52:47

"Building Adaptive and Resilient AI..." by Zhenyi Wang, University of Maryland, College Park

01:01:43

"Trustworthy and Continually Adaptable Multimodal AI Systems" by Jaehong Yoon, UNC at Chapel Hill

31:15

Paper 9: Learning to Forget in Text-to-Image Diffusion Models

28:11

Paper 7: SocialCounterfactuals: Probing & Mitigating Intersectional Social Bias with Counterfactuals

35:33

Paper 6 - CAN WE TALK MODELS INTO SEEING THE WORLD DIFFERENTLY?

29:54

Paper 5: MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models

25:53

Paper 3: MLLMGUARD:A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models