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20162026
most citedView-invariant Deep Architecture for Human Action Recognition using late fusion

147 citations · 197 across the 32 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.SI2021★ 9 cited

Clickbait in YouTube Prevention, Detection and Analysis of the Bait using Ensemble Learning

Peya Mowar, Mini Jain, Ruchika Goel +1

Unscrupulous content creators on YouTube employ deceptive techniques such as spam and clickbait to reach a broad audience and trick users into clicking on their videos to increase…

cs.SI2021★ 7 cited

Fake News Detection using Semi-Supervised Graph Convolutional Network

Priyanka Meel, Dinesh Kumar Vishwakarma

Social media becomes the central way for people to obtain and utilise news, due to its rapidness and inexpensive value of data distribution. Though, such features of social media p…

cs.SI2021★ 4 cited

Multi-modal Fusion using Fine-tuned Self-attention and Transfer Learning for Veracity Analysis of Web Information

Priyanka Meel, Dinesh Kumar Vishwakarma

The nuisance of misinformation and fake news has escalated many folds since the advent of online social networks. Human consciousness and decision-making capabilities are negativel…

cs.SI2021

A Unified Approach of Detecting Misleading Images via Tracing its Instances on Web and Analysing its Past Context for the Verification of Content

Deepika Varshney, Dinesh Kumar Vishwakarma

The verification of multimedia content over social media is one of the challenging and crucial issues in the current scenario and gaining prominence in an age where user-generated…

cs.IR2021

An Automated Multi-Web Platform Voting Framework to Predict Misleading Information Proliferated during COVID-19 Outbreak using Ensemble Method

Deepika Varshney, Dinesh Kumar Vishwakarma

Spreading of misleading information on social web platforms has fuelled huge panic and confusion among the public regarding the Corona disease, the detection of which is of paramou…

cs.CL2021★ 2 cited

Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers

Dinesh Kumar Vishwakarma, Mayank Jindal, Ayush Mittal +1

Automated movie genre classification has emerged as an active and essential area of research and exploration. Short duration movie trailers provide useful insights about the movie…