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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…
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,…
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…
Reinforcing Competitive Multi-Agents for Playing 'So Long Sucker'
Medant Sharan, Chandranath Adak
This paper investigates the strategy game So Long Sucker (SLS) as a novel benchmark for multi-agent reinforcement learning (MARL). Unlike traditional board or video game testbeds,…
Demystifying Visual Features of Movie Posters for Multi-Label Genre Identification
Utsav Kumar Nareti, Chandranath Adak, Soumi Chattopadhyay
In the film industry, movie posters have been an essential part of advertising and marketing for many decades, and continue to play a vital role even today in the form of digital p…
FES: A Fast Efficient Scalable QoS Prediction Framework
Soumi Chattopadhyay, Chandranath Adak, Ranjana Roy Chowdhury
Quality-of-Service prediction of web service is an integral part of services computing due to its diverse applications in the various facets of a service life cycle, such as servic…