5 citations · 9 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 5 cited
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization
Pamul Yadav, Ashutosh Mishra, Junyong Lee +1
Deep Reinforcement Learning (DRL) aims to create intelligent agents that can learn to solve complex problems efficiently in a real-world environment. Typically, two learning goals:…
cs.CV2019★ 4 cited
Using Deep Object Features for Image Descriptions
Ashutosh Mishra, Marcus Liwicki
Inspired by recent advances in leveraging multiple modalities in machine translation, we introduce an encoder-decoder pipeline that uses (1) specific objects within an image and th…
cs.CV2018
Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks
Andreas Kölsch, Ashutosh Mishra, Saurabh Varshneya +2
This paper introduces a very challenging dataset of historic German documents and evaluates Fully Convolutional Neural Network (FCNN) based methods to locate handwritten annotation…