Sourya Dipta Das
YOU?
Author Swipe
Survey Paper on Methodology Development for Estimation of Air Pollution near Road Open
The objective of this survey paper is finding methodology for estimation of air pollution that comes from road traffic. A detailed study has been done for estimation of air pollution. In this paper, we have studied relevant papers and desi…
Transformer-based Joint Modelling for Automatic Essay Scoring and Off-Topic Detection Open
Automated Essay Scoring (AES) systems are widely popular in the market as they constitute a cost-effective and time-effective option for grading systems. Nevertheless, many studies have demonstrated that the AES system fails to assign lowe…
Unsupervised Out-of-Distribution Dialect Detection with Mahalanobis Distance Open
Dialect classification is used in a variety of applications, such as machine translation and speech recognition, to improve the overall performance of the system. In a real-world scenario, a deployed dialect classification model can encoun…
Can No-reference features help in Full-reference image quality estimation? Open
Development of perceptual image quality assessment (IQA) metrics has been of significant interest to computer vision community. The aim of these metrics is to model quality of an image as perceived by humans. Recent works in Full-reference…
Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding Open
Convolutional Neural Network models have successfully detected retinal illness from optical coherence tomography (OCT) and fundus images. These CNN models frequently rely on vast amounts of labeled data for training, difficult to obtain, e…
AdvCodeMix: Adversarial Attack on Code-Mixed Data Open
Research on adversarial attacks are becoming widely popular in the recent\nyears. One of the unexplored areas where prior research is lacking is the\neffect of adversarial attacks on code-mixed data. Therefore, in the present\nwork, we hav…
Context-aware Retail Product Recommendation with Regularized Gradient Boosting Open
In the FARFETCH Fashion Recommendation challenge, the participants needed to predict the order in which various products would be shown to a user in a recommendation impression. The data was provided in two phases - a validation phase and …
Dsrn: an Efficient Deep Network for Image Relighting Open
Custom and natural lighting conditions can be emulated in images of the scene during post-editing. Extraordinary capabilities of the deep learning framework can be utilized for such purpose. Deep image relighting allows automatic photo enh…
MSR-Net: Multi-Scale Relighting Network for One-to-One Relighting Open
Deep image relighting allows photo enhancement by illumination-specific retouching without human effort and so it is getting much interest lately. Most of the existing popular methods available for relighting are run-time intensive and mem…
Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering from a Single Image Open
The Bokeh Effect is one of the most desirable effects in photography for rendering artistic and aesthetic photos. Usually, it requires a DSLR camera with different aperture and shutter settings and certain photography skills to generate th…
View article: Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report Open
Camera scene detection is among the most popular computer vision problem on smartphones. While many custom solutions were developed for this task by phone vendors, none of the designed models were available publicly up until now. To addres…
A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News Articles Open
The significance of social media has increased manifold in the past few decades as it helps people from even the most remote corners of the world to stay connected. With the advent of technology, digital media has become more relevant and …
View article: AIM 2020 Challenge on Rendering Realistic Bokeh
AIM 2020 Challenge on Rendering Realistic Bokeh Open
This paper reviews the second AIM realistic bokeh effect rendering challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world bokeh simulation problem, where the goal was…
View article: AIM 2020: Scene Relighting and Illumination Estimation Challenge
AIM 2020: Scene Relighting and Illumination Estimation Challenge Open
We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different proposed solutions and final evaluation results over the 3 challe…
View article: NTIRE 2020 Challenge on NonHomogeneous Dehazing
NTIRE 2020 Challenge on NonHomogeneous Dehazing Open
This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs…
Fast Deep Multi-patch Hierarchical Network for Nonhomogeneous Image Dehazing Open
Recently, CNN based end-to-end deep learning methods achieve superiority in\nImage Dehazing but they tend to fail drastically in Non-homogeneous dehazing.\nApart from that, existing popular Multi-scale approaches are runtime intensive\nand…
Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning Open
In this article, we describe the system that we used for the memotion analysis challenge, which is Task 8 of SemEval-2020. This challenge had three subtasks where affect based sentiment classification of the memes was required along with i…
View article: AIM 2019 Challenge on Image Demoireing: Methods and Results
AIM 2019 Challenge on Image Demoireing: Methods and Results Open
This paper reviews the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ICCV 2019. This paper describes the challenge, and focuses on the proposed solutions …
Writer Independent Offline Signature Recognition Using Ensemble Learning Open
The area of Handwritten Signature Verification has been broadly researched in the last decades, but remains an open research problem. In offline (static) signature verification, the dynamic information of the signature writing process is l…
Bird Species Classification using Transfer Learning with Multistage Training Open
Bird species classification has received more and more attention in the field of computer vision, for its promising applications in biology and environmental studies. Recognizing bird species is difficult due to the challenges of discrimin…
Bird Species Classification using Transfer Learning with Multistage\n Training Open
Bird species classification has received more and more attention in the field\nof computer vision, for its promising applications in biology and environmental\nstudies. Recognizing bird species is difficult due to the challenges of\ndiscri…
Energy Optimized Robot Arm Path Planning using Differential Evolution in\n Dynamic Environment Open
Robots are widely used in industry due to their efficiency and high accuracy\nin performance. One of the most intriguing issues in manufacturing stage of\nproduction line is to minimize significantly high percentage of energy consumed\nby …
Energy Optimized Robot Arm Path Planning Using Differential Evolution in Dynamic Environment Open
Robots are widely used in industry due to their efficiency and high accuracy in performance. One of the most intriguing issues in manufacturing stage of production line is to minimize significantly high percentage of energy consumed by the…
Language Identification of Bengali-English Code-Mixed data using Character & Phonetic based LSTM Models Open
Language identification of social media text still remains a challenging task due to properties like code-mixing and inconsistent phonetic transliterations. In this paper, we present a supervised learning approach for language identificati…
Language Identification of Bengali-English Code-Mixed data using Character & Phonetic based LSTM Models Open
Language identification of social media text still remains a challenging task due to properties like code-mixing and inconsistent phonetic transliterations. In this paper, we present a supervised learning approach for language identificati…