13 papers
Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding
Mohnish Raj, Suraj Kumar, Soumi Chattopadhayay +2
Multimodal intent recognition requires understanding not only what textual, acoustic, and visual signals share, but also how they disagree. Such disagreement is frequently class-in…
Adaptive Modality Reliability Diagnosis and Restoration for Robust Multimodal Intent Recognition
Suraj Kumar, Mohnish Raj, Soumi Chattopadhayay +2
Multimodal intent recognition combines linguistic, acoustic, and visual evidence, but individual modalities may be noisy, missing, semantically conflicting, or disproportionately d…
Deep Learning-Based Sign Language Recognition from Videos and Cross-Lingual Translation to Indian Vernaculars
Ramesh Nandipalli, Chandranath Adak
Sign language is a primary mode of communication for the global deaf and hard-of-hearing community, yet automated tools that recognize sign gestures from video and translate them i…
ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification
Utsav Kumar Nareti, Suraj Kumar, Soumya Pandey +3
The rapid growth of user-generated text across digital platforms has intensified the need for interpretable models capable of fine-grained text classification and explanation. Exis…
SAiW: Source-Attributable Invisible Watermarking for Proactive Deepfake Defense
Bibek Das, Chandranath Adak, Soumi Chattopadhyay +2
Deepfakes generated by modern generative models pose a serious threat to information integrity, digital identity, and public trust. Existing detection methods are largely reactive,…
Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network
Suraj Kumar, Soumi Chattopadhyay, Chandranath Adak
Quality-of-Service (QoS) prediction is a critical task in the service lifecycle, enabling precise and adaptive service recommendations by anticipating performance variations over t…