| 2024 | WACV | A Multimodal Benchmark and Improved Architecture for Zero Shot Learning. | Keval Doshi, Amanmeet Garg, Burak Uzkent, Xiaolong Wang, Mohamed Omar |
| 2024 | WACV | Real-Time Weakly Supervised Video Anomaly Detection. | Hamza Karim, Keval Doshi, Yasin Yilmaz |
| 2023 | CVPR | Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding. | Keval Doshi, Yasin Yilmaz |
| 2023 | CVPR | Dynamic Inference with Grounding Based Vision and Language Models. | Burak Uzkent, Amanmeet Garg, Wentao Zhu, Keval Doshi, Jingru Yi, Xiaolong Wang, Mohamed Omar |
| 2023 | WACV | Towards Interpretable Video Anomaly Detection. | Keval Doshi, Yasin Yilmaz |
| 2022 | CVPR | Federated Learning-based Driver Activity Recognition for Edge Devices. | Keval Doshi, Yasin Yilmaz |
| 2022 | CVPR | Multi-Task Learning for Video Surveillance with Limited Data. | Keval Doshi, Yasin Yilmaz |
| 2022 | CVPR | Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. | Furkan Mumcu, Keval Doshi, Yasin Yilmaz |
| 2022 | IJCNN | Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection. | Keval Doshi, Shatha Abudalou, Yasin Yilmaz |
| 2022 | WACV | A Modular and Unified Framework for Detecting and Localizing Video Anomalies. | Keval Doshi, Yasin Yilmaz |
| 2022 | WACV | Rethinking Video Anomaly Detection - A Continual Learning Approach. | Keval Doshi, Yasin Yilmaz |
| 2021 | CVPR | An Efficient Approach for Anomaly Detection in Traffic Videos. | Keval Doshi, Yasin Yilmaz |
| 2020 | CVPR | Continual Learning for Anomaly Detection in Surveillance Videos. | Keval Doshi, Yasin Yilmaz |
| 2020 | CVPR | Fast Unsupervised Anomaly Detection in Traffic Videos. | Keval Doshi, Yasin Yilmaz |
| 2020 | CVPR | Any-Shot Sequential Anomaly Detection in Surveillance Videos. | Keval Doshi, Yasin Yilmaz |