no code implementations • 12 Mar 2024 • Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew Darr, Ali Jannesari
The rapid proliferation of digital content and the ever-growing need for precise object recognition and segmentation have driven the advancement of cutting-edge techniques in the field of object classification and segmentation.
no code implementations • 21 Feb 2024 • Chandan Kumar, Jansel Herrera-Gerena, John Just, Matthew Darr, Ali Jannesari
Training image-based object detectors presents formidable challenges, as it entails not only the complexities of object detection but also the added intricacies of precisely localizing objects within potentially diverse and noisy environments.
no code implementations • 23 Aug 2023 • Natasha Latif, Shafqat Ali Shad, Muhammad Usman, Chandan Kumar, Bahman B Motii, MD Mahfuzer Rahman, Khuram Shafi, Zahra Idrees
In this paper, we price European Call three different option pricing models, where the volatility is dynamically changing i. e. non constant.
no code implementations • 28 Feb 2022 • Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J Darr
We propose a deep learning methodology for multivariate regression that is based on pattern recognition that triggers fast learning over sensor data.
no code implementations • 22 Oct 2021 • Mrinal Anand, Nidhin Harilal, Chandan Kumar, Shanmuganathan Raman
We first extract clean LDR frames from noisy LDR video with alternating exposures with a denoising network trained in a self-supervised setting.
1 code implementation • 14 Dec 2020 • Abhilash Nandy, Chandan Kumar, Deepak Mewada, Soumya Sharma
In this report, we survey Bayesian Optimization methods focussed on the Multi-Armed Bandit Problem.
no code implementations • 30 May 2019 • Subrahmanyam Vaddi, Chandan Kumar, Ali Jannesari
We propose a deep feature pyramid architecture which makes use of inherent properties of features extracted from Convolutional Networks by capturing more generic features in the images (such as edge, color etc.)
no code implementations • ICLR 2019 • Chandan Kumar, Subrahmanyam Vaddi, Aishwarya Sarkar
Our work is mainly focused on autonomous flying drones where we establish a case study towards efficiency, robustness and accuracy of UAVs where we showed our results well supported through experiments.