Seemandhar Jain

According to our database, Seemandhar Jain authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Latent Intrinsics Emerge from Training to Relight.

Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, David A. Forsyth, Anand Bhattad

CoRR, 2024

Improved Convex Decomposition with Ensembling and Boolean Primitives.

Vaibhav Vavilala, Florian Kluger, Seemandhar Jain, Bodo Rosenhahn, David A. Forsyth

CoRR, 2024

2023

Blocks2World: Controlling Realistic Scenes with Editable Primitives.

Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, Anand Bhattad, David A. Forsyth

CoRR, 2023

2022

Anomaly detection dataset.

Prarthi Jain, Seemandhar Jain

Dataset, May, 2022

Anomaly Detection in Resource Constrained Environments With Streaming Data.

Prarthi Jain, Seemandhar Jain, Osmar R. Zaïane, Abhishek Srivastava

IEEE Trans. Emerg. Top. Comput. Intell., 2022

An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks.

Seemandhar Jain, Prarthi Jain, Prabhat K. Upadhyay, Jules Merlin Mouatcho Moualeu, Abhishek Srivastava

ACM Trans. Comput. Heal., 2022

2021

MIMIC dataset for Anomaly detection.

Seemandhar Jain

Dataset, January, 2021

Cube Sampled K-Prototype Clustering for Featured Data.

Seemandhar Jain, Aditya A. Shastri, Kapil Ahuja, Yann Busnel, Navneet Pratap Singh

CoRR, 2021

Digital Contact Tracing for Covid 19.

Chandresh Kumar Maurya, Seemandhar Jain, Vishal Thakre

CoRR, 2021

An Efficient Anomaly Detection Approach Using Cube Sampling with Streaming Data.

Seemandhar Jain, Prarthi Jain, Abhishek Srivastava

Proceedings of the Pattern Recognition and Machine Intelligence, 2021

Large-Scale Contact Tracing, Hotspot Detection, and Safe Route Recommendation.

Chandresh Kumar Maurya, Seemandhar Jain, Vishal Thakre

Proceedings of the Big Data Analytics - 9th International Conference, 2021