DEARESt: Deep Convolutional Aberrant Behavior Detection in Real-world Scenarios. - Kuldeep Marotirao Biradar; Sachin Dube; Santosh Kumar Vipparthi (ICIIS, 2018)

Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos. - Kuldeep Marotirao Biradar; Ayushi Gupta; Murari Mandal; Santosh Kumar Vipparthi (CVPR Workshops, 2019)

Varicolored Image De-Hazing. - Akshay Dudhane; Kuldeep Marotirao Biradar; Prashant W. Patil; Praful Hambarde; Subrahmanyam Murala (CVPR, 2020)

An End-to-End Edge Aggregation Network for Moving Object Segmentation. - Prashant W. Patil; Kuldeep Marotirao Biradar; Akshay Dudhane; Subrahmanyam Murala (CVPR, 2020)

MAG-Net: A Memory Augmented Generative Framework for Video Anomaly Detection Using Extrapolation. - Sachin Dube; Kuldeep Marotirao Biradar; Santosh Kumar Vipparthi; Dinesh Kumar Tyagi (CVIP (2), 2021)

HYPE: CNN Based HYbrid PrEcoding Framework for 5G and Beyond. - Deepti Sharma 003; Kuldeep Marotirao Biradar; Santosh Kumar Vipparthi; Ramesh Babu Battula (AINA (2), 2022)

RIChEx: A Robust Inter-Frame Change Exposure for Segmenting Moving Objects. - Prafulla Saxena; Kuldeep Marotirao Biradar; Dinesh Kumar Tyagi; Santosh Kumar Vipparthi (ICIP, 2022)

Robust Anomaly Detection Through Transformer-Encoded Feature Diversity Learning. - Kuldeep Marotirao Biradar; Dinesh Kumar Tyagi; Ramesh Babu Battula; Peram Subbarao (ACCV Workshops (1), 2024)

Triplet-set feature proximity learning for video anomaly detection. - Kuldeep Marotirao Biradar; Murari Mandal; Sachin Dube; Santosh Kumar Vipparthi; Dinesh Kumar Tyagi (Image Vis. Comput., 2024)