139 citations · 303 across the 26 of their papers we have counts for
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PhasorNet: Learning Structure from Frequency for Real-Time Stereo Matching
Md Raqib Khan, Santosh Kumar Vipparthi, Subrahmanyam Murala
Accurate stereo matching remains challenging in ill-posed regions such as fine structures, reflective, or transparent objects, where appearance cues are often ambiguous or unreliab…
SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark
Sania Bano, Shahzad Ahmad, Santosh Kumar Vipparthi +2
Understanding human emotions in spoken conversations is a key challenge in affective computing, with applications in empathetic AI, human computer interaction, and mental health mo…
LiteMatch: Lightweight Zero-Shot Stereo Matching via Cost Volume Stabilization
Md Raqib Khan, Santosh Kumar Vipparthi, Subrahmanyam Murala
Despite rapid progress in learning-based stereo matching, high accuracy is often achieved at the cost of heavy backbones and computationally intensive 3D cost volume processing, re…
NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge Report
Andrei Dumitriu, Aakash Ralhan, Florin Miron +32
This report presents the NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge, which targets automatic rip current understanding in images. Rip currents are haza…