-
TinyOL: TinyML with Online-Learning on Microcontrollers
Tiny machine learning (TinyML) is a fast-growing research area committed...
03/15/2021 ∙ by Haoyu Ren, et al. ∙
0
∙
share
read it
-
TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching
In this paper, we introduce the problem of estimating the real world dep...
06/11/2019 ∙ by Mostafa El-Khamy, et al. ∙
9
∙
share
read it
-
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding
Single image depth estimation (SIDE) plays a crucial role in 3D computer...
06/07/2019 ∙ by Haoyu Ren, et al. ∙
0
∙
share
read it
-
DN-ResNet: Efficient Deep Residual Network for Image Denoising
A deep learning approach to blind denoising of images without complete k...
10/16/2018 ∙ by Haoyu Ren, et al. ∙
0
∙
share
read it
-
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution
We propose methodologies to train highly accurate and efficient deep con...
11/11/2017 ∙ by Haoyu Ren, et al. ∙
0
∙
share
read it
