26 citations · 55 across the 4 of their papers we have counts for
7 papers
The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT
Haoyu Ren, Darko Anicic, Thomas Runkler
Focusing on comprehensive networking, big data, and artificial intelligence, the Industrial Internet-of-Things (IIoT) facilitates efficiency and robustness in factory operations. V…
TinyOL: TinyML with Online-Learning on Microcontrollers
Haoyu Ren, Darko Anicic, Thomas Runkler
Tiny machine learning (TinyML) is a fast-growing research area committed to democratizing deep learning for all-pervasive microcontrollers (MCUs). Challenged by the constraints on…
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr, Martin Danelljan, Radu Timofte +43
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world settin…
TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching
Mostafa El-Khamy, Haoyu Ren, Xianzhi Du +1
In this paper, we introduce the problem of estimating the real world depth of elements in a scene captured by two cameras with different field of views, where the first field of vi…
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding
Haoyu Ren, Mostafa El-khamy, Jungwon Lee
Single image depth estimation (SIDE) plays a crucial role in 3D computer vision. In this paper, we propose a two-stage robust SIDE framework that can perform blind SIDE for both in…
DN-ResNet: Efficient Deep Residual Network for Image Denoising
Haoyu Ren, Mostafa El-Khamy, Jungwon Lee
A deep learning approach to blind denoising of images without complete knowledge of the noise statistics is considered. We propose DN-ResNet, which is a deep convolutional neural n…