1 code implementation • 6 Feb 2024 • Dor Bernsohn, Gil Semo, Yaron Vazana, Gila Hayat, Ben Hagag, Joel Niklaus, Rohit Saha, Kyryl Truskovskyi
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.
no code implementations • 15 Jan 2023 • Azin Asgarian, Rohit Saha, Daniel Jakubovitz, Julia Peyre
In the insurance industry detecting fraudulent claims is a critical task with a significant financial impact.
no code implementations • 18 Jun 2022 • Rohit Saha, Mengyi Fang, Angeline Yasodhara, Kyryl Truskovskyi, Azin Asgarian, Daniel Homola, Raahil Shah, Frederik Dieleman, Jack Weatheritt, Thomas Rogers
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.
1 code implementation • CVPR 2021 • Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi
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.
1 code implementation • 14 May 2020 • Rohit Saha, Abenezer Teklemariam, Ian Hsu, Alan M. Moses
We propose a fully convolutional autoencoder network that takes as input two images and generates upto seven intermediate images.