activity
20172023
collaborators

6 papers

cs.LG2023

Adversarial Likelihood Estimation With One-Way Flows

Omri Ben-Dov, Pravir Singh Gupta, Victoria Abrevaya +2

Generative Adversarial Networks (GANs) can produce high-quality samples, but do not provide an estimate of the probability density around the samples. However, it has been noted th…

cs.LG2022

LED: Latent Variable-based Estimation of Density

Omri Ben-Dov, Pravir Singh Gupta, Victoria Fernandez Abrevaya +2

Modern generative models are roughly divided into two main categories: (1) models that can produce high-quality random samples, but cannot estimate the exact density of new data po…

cs.CV2020

GIF: Generative Interpretable Faces

Partha Ghosh, Pravir Singh Gupta, Roy Uziel +3

Photo-realistic visualization and animation of expressive human faces have been a long standing challenge. 3D face modeling methods provide parametric control but generates unreali…

eess.IV2019

DRCAS: Deep Restoration Network for Hardware Based Compressive Acquisition Scheme

Pravir Singh Gupta, Xin Yuan, Gwan Seong Choi

We investigate the power and performance improvement in image acquisition devices by the use of CAS (Compressed Acquisition Scheme) and DNN (Deep Neural Networks). Towards this end…

eess.SP2018

High Order M-QAM Massive MIMO Detector with Low Computational Complexity for 5G Systems

Vishnupraneeth Reddy, Pravir Singh Gupta, Gwan Seong Choi

In this work, the behaviour of bit error rates for both conventional and massive MIMO systems with high order constellations, which are essential to achieve spectral efficiency for…

eess.IV2017

Image Acquisition System Using On Sensor Compressed Sampling Technique

Pravir Singh Gupta, Gwan Seong Choi

Advances in CMOS technology have made high resolution image sensors possible. These image sensor pose significant challenges in terms of the amount of raw data generated, energy ef…