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Author

Shivakumara Palaiahnakote

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Preprint Sep 2026

MEVL-STP: Multi-Encoder and Vision Language Model for Arbitrarily Shaped Scene Text Spotting

Scene text spotting remains challenging for arbitrarily shaped text instances such as curved signs and dense multi-oriented characters in natural images, where tightly coupled architectures propagate localization errors directly into recognition failures. We present a two-stage pipeline that combines multi-encoder segm...

Aman Anand, Partha Pratim Roy, Shivakumara Palaiahnakote · 0 citations
Open access 2026

C3Former: A Spectral–Spatial Fusion Transformer for Hyperspectral Landcover Classification

A novel hyperspectral classification model, termed C3Former, is proposed to explicitly model spectral–spatial dependencies and enable multiscale feature fusion through adaptive receptive field modulation, and a cross-layer convolutional-transformer encoder module is developed to reinforce spectral–spatial dependencies...

Chen-Chen Fu, Qing-Qing Hong, Shivakumara Palaiahnakote et al. · 0 citations
Jul 2026

MAFN: Multimodal Attention Fusion Network for Emotion Recognition

A novel technique for emotion recognition that leverages Electroencephalogram (EEG) and Electrocardiogram (ECG) signals is presented and consistently surpasses state-of-the-art models on different benchmark datasets in terms of classification rate.

S. Gornale, Shivakumara Palaiahnakote, Amruta Unki et al. · 0 citations
Aug 2026

TSRB: Transformer-based Semantic Refinement Block for Sentiment Analysis using Scene Text Images

This work aims to use scene text images for sentiment analysis to assist in understanding the intentions of captured scenes and presents TSRB (Transformer-based Semantic Refinement Block), which comprises a multimodal approach and semantic gating.

Soutik Mukherjee, Shivakumara Palaiahnakote, Umapada Pal et al. · 0 citations

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