Author

Santosh Kumar Vipparthi

2 papers indexed here

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Preprint Aug 2026

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

PhasorNet is proposed, a lightweight yet powerful framework that boosts geometric discrimination via frequency-domain cues that achieves state-of-the-art performance on the challenging ETH3D benchmark while exhibiting excellent cross-domain generalization on KITTI, delivering an efficient and practical solution for acc...

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