589 citations · 589 across the 2 of their papers we have counts for
6 papers
Artist-Guided Semiautomatic Animation Colorization
Harrish Thasarathan, Mehran Ebrahimi
There is a delicate balance between automating repetitive work in creative domains while staying true to an artist's vision. The animation industry regularly outsources large anima…
Edge-Informed Single Image Super-Resolution
Kamyar Nazeri, Harrish Thasarathan, Mehran Ebrahimi
The recent increase in the extensive use of digital imaging technologies has brought with it a simultaneous demand for higher-resolution images. We develop a novel edge-informed ap…
Automatic Temporally Coherent Video Colorization
Harrish Thasarathan, Kamyar Nazeri, Mehran Ebrahimi
Greyscale image colorization for applications in image restoration has seen significant improvements in recent years. Many of these techniques that use learning-based methods strug…
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning
Kamyar Nazeri, Eric Ng, Tony Joseph +2
Over the last few years, deep learning techniques have yielded significant improvements in image inpainting. However, many of these techniques fail to reconstruct reasonable struct…
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification
Kamyar Nazeri, Azad Aminpour, Mehran Ebrahimi
This paper explores the problem of breast tissue classification of microscopy images. Based on the predominant cancer type the goal is to classify images into four categories of no…
Image Colorization with Generative Adversarial Networks
Kamyar Nazeri, Eric Ng, Mehran Ebrahimi
Over the last decade, the process of automatic image colorization has been of significant interest for several application areas including restoration of aged or degraded images. T…