collaborators

5 papers

cs.LG2026

Agentic AI-Empowered Dynamic Survey Framework

Furkan Mumcu, Lokman Bekit, Michael J. Jones +2

Survey papers play a central role in synthesizing and organizing scientific knowledge, yet they are increasingly strained by the rapid growth of research output. As new work contin…

cs.CV2025

Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection

Furkan Mumcu, Michael J. Jones, Anoop Cherian +1

Existing semi-supervised video anomaly detection (VAD) methods often struggle with detecting complex anomalies involving object interactions and generally lack explainability. To o…

cs.CV2025

MLLM-Guided Autonomous Object Detection for Open-World Understanding

Furkan Mumcu, Michael J. Jones, Anoop Cherian +1

Object detection typically relies on predefined category vocabularies, while open-world and open-vocabulary approaches remain limited by generic unknown labels or externally specif…

cs.CV2025

Improving Open-World Object Localization by Discovering Background

Ashish Singh, Michael J. Jones, Kuan-Chuan Peng +3

Our work addresses the problem of learning to localize objects in an open-world setting, i.e., given the bounding box information of a limited number of object classes during train…

cs.CV2025

ComplexVAD: Detecting Interaction Anomalies in Video

Furkan Mumcu, Michael J. Jones, Yasin Yilmaz +1

Existing video anomaly detection datasets are inadequate for representing complex anomalies that occur due to the interactions between objects. The absence of complex anomalies in…