Blocks2World: Controlling Realistic Scenes with Editable Primitives

no code implementations • 7 Jul 2023 • Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, Anand Bhattad, David Forsyth

We present Blocks2World, a novel method for 3D scene rendering and editing that leverages a two-step process: convex decomposition of images and conditioned synthesis.

Data Augmentation

An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data

no code implementations • 5 Oct 2021 • Seemandhar Jain, Prarthi Jain, Abhishek Srivastava

In this work, we extend our previous work by proposed an efficient iForest based approach for anomaly detection using cube sampling that is effective on streaming data.

Anomaly Detection Event Detection +1

An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks

no code implementations • 27 Sep 2021 • Seemandhar Jain, Prarthi Jain, Prabhat K. Upadhyay, Jules M. Moualeu, Abhishek Srivastava

In addition to being able to handle streaming data, the model works within the resource-constrained environments of an LPU and eliminates the need of transmitting the data to a back-end cloud, ensuring further energy savings.

Anomaly Detection

Cube Sampled K-Prototype Clustering for Featured Data

no code implementations • 23 Aug 2021 • Seemandhar Jain, Aditya A. Shastri, Kapil Ahuja, Yann Busnel, Navneet Pratap Singh

Due to the large sizes of data, clustering algorithm often take too much time.

Clustering