Author

Shahzad Ahmad

2 papers indexed here

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Preprint Sep 2026

Positive Pair Geometry Matters: Optimal Transport for Contrastive Learning of Visual Representations

This work proposes OTCLR, an optimal transport-aware framework for contrastive learning representations that generates geometry-consistent positive samples that serve as positive views that better preserve image structure while explicitly modeling spatial distributional geometry.

Akshit Nanda, Shahzad Ahmad, R. Padhy · 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