14 citations · 42 across the 12 of their papers we have counts for
6 papers · 1 filter
Image inpainting using frequency domain priors
Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki +1
In this paper, we present a novel image inpainting technique using frequency domain information. Prior works on image inpainting predict the missing pixels by training neural netwo…
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos
Subhajit Chaudhury, Daiki Kimura, Phongtharin Vinayavekhin +7
Image-based sports analytics enable automatic retrieval of key events in a game to speed up the analytics process for human experts. However, most existing methods focus on structu…
Assessing Robustness of Deep learning Methods in Dermatological Workflow
Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi +1
This paper aims to evaluate the suitability of current deep learning methods for clinical workflow especially by focusing on dermatology. Although deep learning methods have been a…
Lunar surface image restoration using U-net based deep neural networks
Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki +3
Image restoration is a technique that reconstructs a feasible estimate of the original image from the noisy observation. In this paper, we present a U-Net based deep neural network…
Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection
Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris +1
Capturing and labeling camera images in the real world is an expensive task, whereas synthesizing labeled images in a simulation environment is easy for collecting large-scale imag…
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention
Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar +4
This paper is a contribution towards interpretability of the deep learning models in different applications of time-series. We propose a temporal attention layer that is capable of…