no code implementations • 13 May 2023 • Abhinav Sagar, Sai Teja Gilukara
However, a common problem among the RRT-based algorithms is that the initial path generated is not optimal and the convergence is too slow to be used in real-world applications.
no code implementations • 15 Jan 2022 • Abhinav Sagar
Similarly, transformer blocks and multi scale architecture is used in decoder before being linearly projected to produce the output segmentation map.
no code implementations • 29 Sep 2021 • Abhinav Sagar
Physics Informed Neural Networks has been quite successful in modelling the complex nature of fluid flow.
no code implementations • 27 Jul 2021 • Abhinav Sagar
In this paper, we present a new network named Attention Aware Network (AASeg) for real time semantic image segmentation.
no code implementations • 26 Jul 2021 • Abhinav Sagar
In this work, we address the problem of 3D object detection from point cloud data in real time.
no code implementations • 13 Jun 2021 • Abhinav Sagar
Attention mechanism of late has been quite popular in the computer vision community.
no code implementations • 15 Sep 2020 • Abhinav Sagar
In this paper, we present a novel neural network for generating small molecules similar to the ones in the training set.
no code implementations • 11 Sep 2020 • Abhinav Sagar
Depth estimation from monocular images is a challenging problem in computer vision.
no code implementations • arXiv 2020 • Abhinav Sagar
In this paper, we present a novel network for high resolution video generation.
no code implementations • 12 Aug 2020 • Abhinav Sagar
Our work builds on variational inference techniques for bayesian neural networks using the original Evidence Lower Bound.
1 code implementation • 12 Aug 2020 • 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 synthesis etc.
no code implementations • arXiv 2020 • Abhinav Sagar
In this work, we present a novel neural network to generate high resolution images.
no code implementations • 11 Jul 2020 • Abhinav Sagar
However dense crowd counting remains an open problem because of severe occlusion and perspective view in which people can be present at various sizes.
no code implementations • 30 Jun 2020 • 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.
Ranked #68 on Semantic Segmentation on Cityscapes test
no code implementations • 4 Jun 2020 • Abhinav Sagar
This work extends the work done by others by deriving the variational inference models.
no code implementations • 14 May 2020 • Abhinav Sagar, Dheeba J
In this work, we address the problem of skin cancer classification using convolutional neural networks.
no code implementations • 14 May 2020 • Abhinav Sagar, Dheeba J
Our model achieves the best of results using ResNet50 with accuracy of 0. 982, precision of 0. 94, recall of 0. 94 and F1 score of 0. 94.
1 code implementation • 9 May 2020 • Abhinav Sagar
In this work, we address the problem of 3D object detection from point cloud data in real time.