Author

Santosh Kumar Vipparthi

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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

Preprint Jul 2026

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark

Understanding human emotions in spoken conversations is a key challenge in affective computing, with applications in empathetic AI, human computer interaction, and mental health monitoring. However, existing datasets vary in scale, emotion distribution, modality alignment, and data partitioning strategies, which can in...

Sania Bano, Shahzad Ahmad, Santosh Kumar Vipparthi et al. · 0 citations