Fine-grain annotation of cricket videos. - Rahul Anand Sharma; K. Pramod Sankar; C. V. Jawahar (ACPR, 2015)

Event recognition in broadcast soccer videos. - Himangi Saraogi; Rahul Anand Sharma; Vijay Kumar (ICVGIP, 2016)

Automatic analysis of broadcast football videos using contextual priors. - Rahul Anand Sharma; Vineet Gandhi; Visesh Chari; C. V. Jawahar (Signal Image Video Process., 2017)

Automated Top View Registration of Broadcast Football Videos. - Rahul Anand Sharma; Bharath Bhat; Vineet Gandhi; C. V. Jawahar (WACV, 2018)

All that GLITTERs: Low-Power Spoof-Resilient Optical Markers for Augmented Reality. - Rahul Anand Sharma; Adwait Dongare; John Miller 002; Nicholas Wilkerson; Daniel Cohen; Vyas Sekar; Prabal Dutta; Anthony Rowe 001 (IPSN, 2020)

Robust and Practical WiFi Human Sensing Using On-device Learning with a Domain Adaptive Model. - Elahe Soltanaghaei; Rahul Anand Sharma; Zehao Wang; Adarsh Chittilappilly; Anh Luong; Eric Giler; Katie Hall; Steve Elias; Anthony G. Rowe (BuildSys, 2020)

Contention-Aware Performance Prediction For Virtualized Network Functions. - Antonis Manousis; Rahul Anand Sharma; Vyas Sekar; Justine Sherry (SIGCOMM, 2020)

Accurately Measuring Global Risk of Amplification Attacks using AmpMap. - Soo-Jin Moon; Yucheng Yin; Rahul Anand Sharma; Yifei Yuan; Jonathan M. Spring; Vyas Sekar (USENIX Security Symposium, 2021)

Lumen: a framework for developing and evaluating ML-based IoT network anomaly detection. - Rahul Anand Sharma; Ishan Sabane; Maria Apostolaki; Anthony Rowe 001; Vyas Sekar (CoNEXT, 2022)

Lumos: Identifying and Localizing Diverse Hidden IoT Devices in an Unfamiliar Environment. - Rahul Anand Sharma; Elahe Soltanaghaei; Anthony Rowe 001; Vyas Sekar (USENIX Security Symposium, 2022)