Author

Subrahmanyam Murala

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Preprint Aug 2026

PhasorNet: Learning Structure from Frequency for Real-Time Stereo Matching

Accurate stereo matching remains challenging in ill-posed regions such as fine structures, reflective, or transparent objects, where appearance cues are often ambiguous or unreliable. To tackle this, we propose PhasorNet, a lightweight yet powerful framework that boosts geometric discrimination via frequency-domain cue...

Md Raqib Khan, S. Vipparthi, Subrahmanyam Murala · 0 citations

Jul 2026

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark

Results show that balanced data and careful splitting lead to more stable performance across emotions when models are evaluated on other datasets, highlighting the importance of dataset design for robust and transferable multimodal emotion recognition.

Sania Bano, Shahzad Ahmad, S. Vipparthi et al. · arXiv.org · 0 citations