147 citations · 304 across the 35 of their papers we have counts for
11 papers · 1 filter
MHS-STMA: Multimodal Hate Speech Detection via Scalable Transformer-Based Multilevel Attention Framework
Anusha Chhabra, Dinesh Kumar Vishwakarma
Social media has a significant impact on people's lives. Hate speech on social media has emerged as one of society's most serious issues in recent years. Text and pictures are two…
Hate Content Detection via Novel Pre-Processing Sequencing and Ensemble Methods
Anusha Chhabra, Dinesh Kumar Vishwakarma
Social media, particularly Twitter, has seen a significant increase in incidents like trolling and hate speech. Thus, identifying hate speech is the need of the hour. This paper in…
A Noise and Edge extraction-based dual-branch method for Shallowfake and Deepfake Localization
Deepak Dagar, Dinesh Kumar Vishwakarma
The trustworthiness of multimedia is being increasingly evaluated by advanced Image Manipulation Localization (IML) techniques, resulting in the emergence of the IML field. An effe…
Target-Dependent Multimodal Sentiment Analysis Via Employing Visual-to Emotional-Caption Translation Network using Visual-Caption Pairs
Ananya Pandey, Dinesh Kumar Vishwakarma
The natural language processing and multimedia field has seen a notable surge in interest in multimodal sentiment recognition. Hence, this study aims to employ Target-Dependent Mul…
VyAnG-Net: A Novel Multi-Modal Sarcasm Recognition Model by Uncovering Visual, Acoustic and Glossary Features
Ananya Pandey, Dinesh Kumar Vishwakarma
Various linguistic and non-linguistic clues, such as excessive emphasis on a word, a shift in the tone of voice, or an awkward expression, frequently convey sarcasm. The computer v…
Modelling Visual Semantics via Image Captioning to extract Enhanced Multi-Level Cross-Modal Semantic Incongruity Representation with Attention for Multimodal Sarcasm Detection
Sajal Aggarwal, Ananya Pandey, Dinesh Kumar Vishwakarma
Sarcasm is a type of irony, characterized by an inherent mismatch between the literal interpretation and the intended connotation. Though sarcasm detection in text has been extensi…
Contrastive Learning-based Multi Modal Architecture for Emoticon Prediction by Employing Image-Text Pairs
Ananya Pandey, Dinesh Kumar Vishwakarma
The emoticons are symbolic representations that generally accompany the textual content to visually enhance or summarize the true intention of a written message. Although widely ut…
Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector
Deepak Dagar, Dinesh Kumar Vishwakarma
Deepfakes, which employ GAN to produce highly realistic facial modification, are widely regarded as the prevailing method. Traditional CNN have been able to identify bogus media, b…
Datasets, Clues and State-of-the-Arts for Multimedia Forensics: An Extensive Review
Ankit Yadav, Dinesh Kumar Vishwakarma
With the large chunks of social media data being created daily and the parallel rise of realistic multimedia tampering methods, detecting and localising tampering in images and vid…
Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset
Ankit Yadav, Dinesh Kumar Vishwakarma
Splice detection models are the need of the hour since splice manipulations can be used to mislead, spread rumors and create disharmony in society. However, there is a severe lack…
A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler
Ankit Yadav, Dinesh Kumar Vishwakarma
Image splice manipulation presents a severe challenge in today's society. With easy access to image manipulation tools, it is easier than ever to modify images that can mislead ind…