42 citations · 318 across the 30 of their papers we have counts for
4 papers · 1 filter
3DSRnet: Video Super-resolution using 3D Convolutional Neural Networks
Soo Ye Kim, Jeongyeon Lim, Taeyoung Na +1
In video super-resolution, the spatio-temporal coherence between, and among the frames must be exploited appropriately for accurate prediction of the high resolution frames. Althou…
Why Are Deep Representations Good Perceptual Quality Features?
Taimoor Tariq, Okan Tarhan Tursun, Munchurl Kim +1
Recently, intermediate feature maps of pre-trained convolutional neural networks have shown significant perceptual quality improvements, when they are used in the loss function for…
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network
Juan Luis Gonzalez, Muhammad Sarmad, Hyunjoo J. Lee +1
Deep convolutional neural networks (DCNN) have recently shown promising results in low-level computer vision problems such as optical flow and disparity estimation, but still, have…
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey Ignatov, Radu Timofte, Thang Van Vu +45
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tra…