Poulomi Bhattacharya — accepted AI-conference papers

2026

Guarding Digital Identity: Attention-Guided Fusion for Detecting Forged ID Documents (Student Abstract)

Gargi Surendra Yeole, Poulomi Bhattacharya, Akshay Agarwal

AAAI 2026technical

Government verification systems are increasingly relying on internet-based platforms, where users authenticate their identities by uploading images captured with ordinary mobile devices. However, the rapid advancements in generative algorithms have enabled the creation of highly realistic forged ID

Cited by 0 Source ↗PDF ↗Scholar ↗

2026

Q-MoFusion: A Quantum Classifier for Masquito Species Classification (Student Abstract)

Vishesh Kumar, Ahana Chanda, Poulomi Bhattacharya, Akshay Agarwal

AAAI 2026technical

Automated mosquito species identification is critical for combating vector-borne diseases. We introduce Q-MoFusion, a novel hybrid quantum-classical framework that fuses deep features from pre-trained Audio Spectrogram Transformer (AST) and Whisper models using a Variational Quantum Circuit (VQC). O

Cited by 0 Source ↗PDF ↗Scholar ↗