Seemandhar Jain

Orcid: 0000-0002-4176-3595

According to our database1, Seemandhar Jain authored at least 14 papers between 2021 and 2026.

Collaborative distances:

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
NERFIFY: A Multi-Agent Framework for Turning NeRF Papers into Code.
CoRR, March, 2026

Improved Convex Decomposition with Ensembling and Negative Primitives.
Proceedings of the International Conference on 3D Visio, 2026

2025
Generative Blocks World: Moving Things Around in Pictures.
CoRR, June, 2025

2024
Improved Convex Decomposition with Ensembling and Boolean Primitives.
CoRR, 2024

Latent Intrinsics Emerge from Training to Relight.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Blocks2World: Controlling Realistic Scenes with Editable Primitives.
CoRR, 2023

2022
Anomaly detection dataset.
Dataset, May, 2022

Anomaly Detection in Resource Constrained Environments With Streaming Data.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks.
ACM Trans. Comput. Heal., 2022

2021
MIMIC dataset for Anomaly detection.
Dataset, January, 2021

Cube Sampled K-Prototype Clustering for Featured Data.
CoRR, 2021

Digital Contact Tracing for Covid 19.
CoRR, 2021

An Efficient Anomaly Detection Approach Using Cube Sampling with Streaming Data.
Proceedings of the Pattern Recognition and Machine Intelligence, 2021

Large-Scale Contact Tracing, Hotspot Detection, and Safe Route Recommendation.
Proceedings of the Big Data Analytics - 9th International Conference, 2021


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