6 citations · 14 across the 8 of their papers we have counts for
8 papers
AASeg: Attention Aware Network for Real Time Semantic Segmentation
Abhinav Sagar
Semantic segmentation is a fundamental task in computer vision that involves dense pixel-wise classification for scene understanding. Despite significant progress, achieving high a…
Generate Novel Molecules With Target Properties Using Conditional Generative Models
Abhinav Sagar
Drug discovery using deep learning has attracted a lot of attention of late as it has obvious advantages like higher efficiency, less manual guessing and faster process time. In th…
Generate High Resolution Images With Generative Variational Autoencoder
Abhinav Sagar
In this work, we present a novel neural network to generate high resolution images. We replace the decoder of VAE with a discriminator while using the encoder as it is. The encoder…
HRVGAN: High Resolution Video Generation using Spatio-Temporal GAN
Abhinav Sagar
High-resolution video generation has emerged as a crucial task in computer vision, with wide-ranging applications in entertainment, simulation, and data augmentation. However, gene…
Stochastic Bayesian Neural Networks
Abhinav Sagar
Bayesian neural networks perform variational inference over the weights however calculation of the posterior distribution remains a challenge. Our work builds on variational infere…
Bayesian Multi-Scale Neural Network for Crowd Counting
Abhinav Sagar
Crowd counting is a challenging yet critical task in computer vision with applications ranging from public safety to urban planning. Recent advances using Convolutional Neural Netw…