3 citations · 5 across the 6 of their papers we have counts for
7 papers
CBAGAN-RRT: Convolutional Block Attention Generative Adversarial Network for Sampling-Based Path Planning
Abhinav Sagar, Sai Teja Gilukara
Sampling-based path planning algorithms play an important role in autonomous robotics. However, a common problem among these algorithms is that the initial path generated is not op…
ViTBIS: Vision Transformer for Biomedical Image Segmentation
Abhinav Sagar
In this paper, we propose a novel network named Vision Transformer for Biomedical Image Segmentation (ViTBIS). Our network splits the input feature maps into three parts with $1\ti…
AA3DNet: Attention Augmented Real Time 3D Object Detection
Abhinav Sagar
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 perception component t…
DMSANet: Dual Multi Scale Attention Network
Abhinav Sagar
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, although almost always i…
Monocular Depth Estimation Using Multi Scale Neural Network And Feature Fusion
Abhinav Sagar
Depth estimation from monocular images is a challenging problem in computer vision. In this paper, we tackle this problem using a novel network architecture using multi scale featu…
Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation
Abhinav Sagar
Deep learning motivated by convolutional neural networks has been highly successful in a range of medical imaging problems like image classification, image segmentation, image synt…
Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars
Abhinav Sagar, RajKumar Soundrapandiyan
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 used ResNet based fea…