Search Results for author: Muhammad Haris

Found 8 papers, 4 papers with code

The Digitalization of Bioassays in the Open Research Knowledge Graph

no code implementations28 Mar 2022 Jennifer D'Souza, Anita Monteverdi, Muhammad Haris, Marco Anteghini, Kheir Eddine Farfar, Markus Stocker, Vitor A. P. Martins dos Santos, Sören Auer

For this in turn, there is a strong need for AI tools designed for scientists that permit easy and accurate semantification of their scholarly contributions.

Knowledge Graphs

Low Light Image Enhancement via Global and Local Context Modeling

no code implementations4 Jan 2021 Aditya Arora, Muhammad Haris, Syed Waqas Zamir, Munawar Hayat, Fahad Shahbaz Khan, Ling Shao, Ming-Hsuan Yang

These contexts can be crucial towards inferring several image enhancement tasks, e. g., local and global contrast, brightness and color corrections; which requires cues from both local and global spatial extent.

Low-Light Image Enhancement

Image Super-Resolution using Explicit Perceptual Loss

no code implementations1 Sep 2020 Tomoki Yoshida, Kazutoshi Akita, Muhammad Haris, Norimichi Ukita

The previous approaches use several loss functions which is hard to interpret and has the implicit relationships to improve the perceptual score.

Image Super-Resolution

Space-Time-Aware Multi-Resolution Video Enhancement

1 code implementation CVPR 2020 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.

Frame Video Enhancement +1

Deep Back-Projection Networks for Single Image Super-resolution

1 code implementation4 Apr 2019 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-resolution output.

Image Super-Resolution

Task-Driven Super Resolution: Object Detection in Low-resolution Images

no code implementations30 Mar 2018 Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita

We consider how image super resolution (SR) can contribute to an object detection task in low-resolution images.

Image Super-Resolution Object Detection

Deep Back-Projection Networks For Super-Resolution

18 code implementations CVPR 2018 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-resolution output.

Image Super-Resolution Video Super-Resolution

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