11 citations · 11 across the 3 of their papers we have counts for
5 papers
FANVIDv2: Evaluating Video Super-Resolution by Face and Licence-Plate Recognition Under Compound Degradation
Kavitha Viswanathan, Vrinda Goel, Shlesh Gholap +5
Video super-resolution (VSR) is normally judged by PSNR and SSIM on clips that were downsampled bicubically, although in surveillance its purpose is to make faces and licence plate…
MRI Super-Resolution with RCDM/WaveMix and Task-Aware Segmentation
Kavitha Viswanathan, Harsh Choudhary, Amit Sethi
Super-resolution and quality enhancement of 1.5\,T brain MRI are normally validated with image-fidelity metrics, although their purpose is to improve downstream analysis. We study…
FANVID: A Benchmark for Face and License Plate Recognition in Low-Resolution Videos
Kavitha Viswanathan, Vrinda Goel, Shlesh Gholap +5
Real-world surveillance often renders faces and license plates unrecognizable in individual low-resolution (LR) frames, hindering reliable identification. To advance temporal recog…
Low-Resource Video Super-Resolution using Memory, Wavelets, and Deformable Convolutions
Kavitha Viswanathan, Shashwat Pathak, Piyush Bharambe +2
The tradeoff between reconstruction quality and compute required for video super-resolution (VSR) remains a formidable challenge in its adoption for deployment on resource-constrai…
WaveMix: A Resource-efficient Neural Network for Image Analysis
Pranav Jeevan, Kavitha Viswanathan, Anandu A S +1
We propose a novel neural architecture for computer vision -- WaveMix -- that is resource-efficient and yet generalizable and scalable. While using fewer trainable parameters, GPU…