4 citations · 6 across the 2 of their papers we have counts for
2 papers
eess.IV2024★ 4 cited
A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention Blocks
Ronglei Ji, A. Murat Tekalp
Despite the fact real-world video deinterlacing and demosaicing are well-suited to supervised learning from synthetically degraded data because the degradation models are known and…
eess.IV2022★ 2 cited
Multi-Field De-interlacing using Deformable Convolution Residual Blocks and Self-Attention
Ronglei Ji, A. Murat Tekalp
Although deep learning has made significant impact on image/video restoration and super-resolution, learned deinterlacing has so far received less attention in academia or industry…