9 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.SE2022★ 2 cited
An Exploratory Study on Code Attention in BERT
Rishab Sharma, Fuxiang Chen, Fatemeh Fard +1
Many recent models in software engineering introduced deep neural models based on the Transformer architecture or use transformer-based Pre-trained Language Models (PLM) trained on…
cs.CV2020
AlphaNet: An Attention Guided Deep Network for Automatic Image Matting
Rishab Sharma, Rahul Deora, Anirudha Vishvakarma
In this paper, we propose an end to end solution for image matting i.e high-precision extraction of foreground objects from natural images. Image matting and background detection c…
cs.CV2019★ 9 cited
Retrieving Similar E-Commerce Images Using Deep Learning
Rishab Sharma, Anirudha Vishvakarma
In this paper, we propose a deep convolutional neural network for learning the embeddings of images in order to capture the notion of visual similarity. We present a deep siamese a…