74 citations · 100 across the 7 of their papers we have counts for
11 papers
Multimodal Attack Detection for Action Recognition Models
Furkan Mumcu, Yasin Yilmaz
Adversarial machine learning attacks on video action recognition models is a growing research area and many effective attacks were introduced in recent years. These attacks show th…
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems
Furkan Mumcu, Keval Doshi, Yasin Yilmaz
Anomaly detection in videos is an important computer vision problem with various applications including automated video surveillance. Although adversarial attacks on image understa…
TiSAT: Time Series Anomaly Transformer
Keval Doshi, Shatha Abudalou, Yasin Yilmaz
While anomaly detection in time series has been an active area of research for several years, most recent approaches employ an inadequate evaluation criterion leading to an inflate…
End-to-End Semantic Video Transformer for Zero-Shot Action Recognition
Keval Doshi, Yasin Yilmaz
While video action recognition has been an active area of research for several years, zero-shot action recognition has only recently started gaining traction. In this work, we prop…
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models
Yasin Yilmaz, Mehmet Aktukmak, Alfred O. Hero
The commonly used latent space embedding techniques, such as Principal Component Analysis, Factor Analysis, and manifold learning techniques, are typically used for learning effect…
An Efficient Approach for Anomaly Detection in Traffic Videos
Keval Doshi, Yasin Yilmaz
Due to its relevance in intelligent transportation systems, anomaly detection in traffic videos has recently received much interest. It remains a difficult problem due to a variety…