Large-Scale Contact Tracing, Hotspot Detection, and Safe Route Recommendation. - Chandresh Kumar Maurya; Seemandhar Jain; Vishal Thakre (BDA, 2021)

An Efficient Anomaly Detection Approach Using Cube Sampling with Streaming Data. - Seemandhar Jain; Prarthi Jain; Abhishek Srivastava 001 (PReMI, 2021)

Digital Contact Tracing for Covid 19. - Chandresh Kumar Maurya; Seemandhar Jain; Vishal Thakre (CoRR, 2021)

Cube Sampled K-Prototype Clustering for Featured Data. - Seemandhar Jain; Aditya A. Shastri; Kapil Ahuja; Yann Busnel; Navneet Pratap Singh (CoRR, 2021)

MIMIC dataset for Anomaly detection. - Seemandhar Jain (IEEE DataPort, 2021)

An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks. - Seemandhar Jain; Prarthi Jain; Prabhat K. Upadhyay; Jules Merlin Mouatcho Moualeu; Abhishek Srivastava 001 (ACM Trans. Comput. Heal., 2022)

Anomaly Detection in Resource Constrained Environments With Streaming Data. - Prarthi Jain; Seemandhar Jain; Osmar R. Zaïane; Abhishek Srivastava 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Anomaly detection dataset. - Prarthi Jain; Seemandhar Jain (IEEE DataPort, 2022)

Blocks2World: Controlling Realistic Scenes with Editable Primitives. - Vaibhav Vavilala; Seemandhar Jain; Rahul Vasanth; Anand Bhattad; David A. Forsyth (CoRR, 2023)

Latent Intrinsics Emerge from Training to Relight. - Xiao Zhang; William Gao; Seemandhar Jain; Michael Maire; David A. Forsyth; Anand Bhattad (NeurIPS, 2024)

Improved Convex Decomposition with Ensembling and Boolean Primitives. - Vaibhav Vavilala; Florian Kluger; Seemandhar Jain; Bodo Rosenhahn; David A. Forsyth (CoRR, 2024)

Generative Blocks World: Moving Things Around in Pictures. - Vaibhav Vavilala; Seemandhar Jain; Rahul Vasanth; David A. Forsyth; Anand Bhattad (CoRR, 2025)