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pro vyhledávání: '"Sharma, Rishab"'
Autor:
Mazumder, Alokendu, Baruah, Tirthajit, Kumar, Bhartendu, Sharma, Rishab, Pattanaik, Vishwajeet, Rathore, Punit
The autoencoder is an unsupervised learning paradigm that aims to create a compact latent representation of data by minimizing the reconstruction loss. However, it tends to overlook the fact that most data (images) are embedded in a lower-dimensional
Externí odkaz:
http://arxiv.org/abs/2310.16194
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 code. Although these models achieve the state of the arts results in
Externí odkaz:
http://arxiv.org/abs/2204.10200
Code comment generation is the task of generating a high-level natural language description for a given code method or function. Although researchers have been studying multiple ways to generate code comments automatically, previous work mainly consi
Externí odkaz:
http://arxiv.org/abs/2204.09654
In this paper, we propose an image matting framework called Salient Image Matting to estimate the per-pixel opacity value of the most salient foreground in an image. To deal with a large amount of semantic diversity in images, a trimap is conventiona
Externí odkaz:
http://arxiv.org/abs/2103.12337
Code comments can help in program comprehension and are considered as important artifacts to help developers in software maintenance. However, the comments are mostly missing or are outdated, specially in complex software projects. As a result, sever
Externí odkaz:
http://arxiv.org/abs/2103.10668
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 can be achieved easily through chroma keying in a studio setting when t
Externí odkaz:
http://arxiv.org/abs/2003.03613
Autor:
Sharma, Rishab, Vishvakarma, Anirudha
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 architecture that when trained on positive and negative pairs of images
Externí odkaz:
http://arxiv.org/abs/1901.03546
Publikováno v:
In Procedia Computer Science 2020 173:234-244
Akademický článek
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Autor:
Sharma, Rishab
Code comment generation is the task of generating a high-level natural language description for a given code snippet. Comments help software developers maintain programs; however, comments are mostly missing or are outdated. Many studies develop mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b73f4f6947a48cd5482f7b2569c70abc