Search Results for author:
Found 5 papers, 3 papers with code
LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text
In this study, we focus on two main tasks, the first for detecting legal violations within unstructured textual data, and the second for associating these violations with potentially affected individuals.
AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry
In the insurance industry detecting fraudulent claims is a critical task with a significant financial impact.
GaLeNet: Multimodal Learning for Disaster Prediction, Management and Relief
In this work, we propose a multimodal framework (GaLeNet) for assessing the severity of damage by complementing pre-disaster images with weather data and the trajectory of the hurricane.
LOHO: Latent Optimization of Hairstyles via Orthogonalization
Therefore, we propose Latent Optimization of Hairstyles via Orthogonalization (LOHO), an optimization-based approach using GAN inversion to infill missing hair structure details in latent space during hairstyle transfer.
W-Cell-Net: Multi-frame Interpolation of Cellular Microscopy Videos
We propose a fully convolutional autoencoder network that takes as input two images and generates upto seven intermediate images.
