Scholar
Furkan Mumcu
Google Scholar ID: kcsVm1YAAAAJ
University of South Florida
Computer Vision
Video Anomaly Detection
Adversarial Attacks
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Citations & Impact
All-time
Citations
39
H-index
4
i10-index
1
Publications
8
Co-authors
4
list available
Contact
No contact links provided.
Publications
11 items
Submission Responsibility Matters: Role-Aware Submission Quotas under Coauthorship
2026
Cited
0
Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models
2026
Cited
0
Detecting Adversarial Data via Provable Adversarial Noise Amplification
2026
Cited
0
Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization
2026
Cited
0
Socially-Weighted Alignment: A Game-Theoretic Framework for Multi-Agent LLM Systems
2026
Cited
0
Agentic AI-Empowered Dynamic Survey Framework
2026
Cited
0
Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection
2025
Cited
0
LLM-Guided Agentic Object Detection for Open-World Understanding
2025
Cited
0
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Resume (English only)
Co-authors
4 total
Yasin Yilmaz
University of South Florida
Keval Doshi
Applied Scientist II, Amazon
Michael Jones
Researcher, MERL
Anoop Cherian
Mitsubishi Electric Research Labs (MERL), Adj. Assoc. Prof. Australian National University
