73 citations · 153 across the 7 of their papers we have counts for
7 papers
Low Light Image Enhancement via Global and Local Context Modeling
Aditya Arora, Muhammad Haris, Syed Waqas Zamir +4
Images captured under low-light conditions manifest poor visibility, lack contrast and color vividness. Compared to conventional approaches, deep convolutional neural networks (CNN…
Image Super-Resolution using Explicit Perceptual Loss
Tomoki Yoshida, Kazutoshi Akita, Muhammad Haris +1
This paper proposes an explicit way to optimize the super-resolution network for generating visually pleasing images. The previous approaches use several loss functions which is ha…
Space-Time-Aware Multi-Resolution Video Enhancement
Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita
We consider the problem of space-time super-resolution (ST-SR): increasing spatial resolution of video frames and simultaneously interpolating frames to increase the frame rate. Mo…
Deep Back-Projection Networks for Single Image Super-resolution
Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita
Previous feed-forward architectures of recently proposed deep super-resolution networks learn the features of low-resolution inputs and the non-linear mapping from those to a high-…
Recurrent Back-Projection Network for Video Super-Resolution
Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita
We proposed a novel architecture for the problem of video super-resolution. We integrate spatial and temporal contexts from continuous video frames using a recurrent encoder-decode…
Task-Driven Super Resolution: Object Detection in Low-resolution Images
Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita
We consider how image super resolution (SR) can contribute to an object detection task in low-resolution images. Intuitively, SR gives a positive impact on the object detection tas…
Deep Back-Projection Networks For Super-Resolution
Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita
The feed-forward architectures of recently proposed deep super-resolution networks learn representations of low-resolution inputs, and the non-linear mapping from those to high-res…