activity
20192026
most citedTiSAT: Time Series Anomaly Transformer

4 citations · 9 across the 8 of their papers we have counts for

collaborators

12 papers

cs.CV2026

Narrative Aligned Long Form Video Question Answering

Rahul Jain, Keval Doshi, Burak Uzkent +1

Recent progress in multimodal large language models (MLLMs) has led to a surge of benchmarks for long-video reasoning. However, most existing benchmarks rely on localized cues and…

cs.CV2022★ 1 cited

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…

cs.LG2022★ 4 cited

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…

cs.CV2022★ 1 cited

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…

cs.CV2021

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…

cs.CV2021

A Modular and Unified Framework for Detecting and Localizing Video Anomalies

Keval Doshi, Yasin Yilmaz

Anomaly detection in videos has been attracting an increasing amount of attention. Despite the competitive performance of recent methods on benchmark datasets, they typically lack…