9 papers
HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection
Bhavana Verma, Priyanka Meel, Dinesh Kumar Vishwakarma
Multimodal sarcasm and cyberbullying detection remain challenging because the intended meaning often emerges from incongruity between textual and visual information rather than fro…
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…
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…