Search Results - "Sagar, Abhinav"

Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars by Sagar, Abhinav, Soundrapandiyan, RajKumar

“…In this paper, we present a novel neural network using multi scale feature fusion at various scales for accurate and efficient semantic image segmentation. We…”
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Automated pneumonia detection on chest X-ray images: A deep learning approach with different optimizers and transfer learning architectures by Manickam, Adhiyaman, Jiang, Jianmin, Zhou, Yu, Sagar, Abhinav, Soundrapandiyan, Rajkumar, Dinesh Jackson Samuel, R.

“…•A deep learning method is proposed using different optimizers and transfer learning to classify Pneumonia patients.•Preparing a dataset of around 5300 X-ray…”
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Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation by Sagar, Abhinav

“…Deep learning motivated by convolutional neural networks has been highly successful in a range of medical imaging problems like image classification, image…”
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Monocular Depth Estimation Using Multi Scale Neural Network And Feature Fusion by Sagar, Abhinav

“…Depth estimation from monocular images is a challenging problem in computer vision. In this paper, we tackle this problem using a novel network architecture…”
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AA3DNet: Attention Augmented Real Time 3D Object Detection by Sagar, Abhinav

“…In this work, we address the problem of 3D object detection from point cloud data in real time. For autonomous vehicles to work, it is very important for the…”
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ViTBIS: Vision Transformer for Biomedical Image Segmentation by Sagar, Abhinav

“…Springer, Cham 2021 In this paper, we propose a novel network named Vision Transformer for Biomedical Image Segmentation (ViTBIS). Our network splits the input…”
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AASeg: Attention Aware Network for Real Time Semantic Segmentation by Sagar, Abhinav

“…In this paper, we present a new network named Attention Aware Network (AASeg) for real time semantic image segmentation. Our network incorporates spatial and…”
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AA3DNet: Attention Augmented Real Time 3D Object Detection by Sagar, Abhinav

“…In this work, we address the problem of 3D object detection from point cloud data in real time. For autonomous vehicles to work, it is very important for the…”
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DMSANet: Dual Multi Scale Attention Network by Sagar, Abhinav

“…Attention mechanism of late has been quite popular in the computer vision community. A lot of work has been done to improve the performance of the network,…”
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Generate Novel Molecules With Target Properties Using Conditional Generative Models by Sagar, Abhinav

“…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…”
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Monocular Depth Estimation Using Multi Scale Neural Network And Feature Fusion by Sagar, Abhinav

“…Depth estimation from monocular images is a challenging problem in computer vision. In this paper, we tackle this problem using a novel network architecture…”
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HRVGAN: High Resolution Video Generation using Spatio-Temporal GAN by Sagar, Abhinav

“…In this paper, we present a novel network for high resolution video generation. Our network uses ideas from Wasserstein GANs by enforcing k-Lipschitz…”
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Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation by Sagar, Abhinav

“…Deep learning motivated by convolutional neural networks has been highly successful in a range of medical imaging problems like image classification, image…”
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Stochastic Bayesian Neural Networks by Sagar, Abhinav

“…Bayesian neural networks perform variational inference over the weights however calculation of the posterior distribution remains a challenge. Our work builds…”
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Generate High Resolution Images With Generative Variational Autoencoder by Sagar, Abhinav

“…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…”
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Bayesian Multi Scale Neural Network for Crowd Counting by Sagar, Abhinav

“…Crowd Counting is a difficult but important problem in computer vision. Convolutional Neural Networks based on estimating the density map over the image has…”
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Bayesian Neural Network via Stochastic Gradient Descent by Sagar, Abhinav

“…The goal of bayesian approach used in variational inference is to minimize the KL divergence between variational distribution and unknown posterior…”
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RUHSNet: 3D Object Detection Using Lidar Data in Real Time by Sagar, Abhinav

“…In this work, we address the problem of 3D object detection from point cloud data in real time. For autonomous vehicles to work, it is very important for the…”
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CBAGAN-RRT: Convolutional Block Attention Generative Adversarial Network for Sampling-Based Path Planning by Sagar, Abhinav, Gilukara, Sai Teja

“…Sampling-based path planning algorithms play an important role in autonomous robotics. However, a common problem among the RRT-based algorithms is that the…”
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Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars by Sagar, Abhinav, Soundrapandiyan, RajKumar

“…In this paper, we present a novel neural network using multi scale feature fusion at various scales for accurate and efficient semantic image segmentation. We…”
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