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20092022
most citedAMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks

49 citations · 133 across the 19 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.CV2019

HyperCon: Image-To-Video Model Transfer for Video-To-Video Translation Tasks

Ryan Szeto, Mostafa El-Khamy, Jungwon Lee +1

Video-to-video translation is more difficult than image-to-image translation due to the temporal consistency problem that, if unaddressed, leads to distracting flickering effects.…

cs.SD2019

End-to-End Multi-Task Denoising for the Joint Optimization of Perceptual Speech Metrics

Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee

Although supervised learning based on a deep neural network has recently achieved substantial improvement on speech enhancement, the existing schemes have either of two critical is…

eess.AS201912 cited

T-GSA: Transformer with Gaussian-weighted self-attention for speech enhancement

Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee

Transformer neural networks (TNN) demonstrated state-of-art performance on many natural language processing (NLP) tasks, replacing recurrent neural networks (RNNs), such as LSTMs o…

eess.IV2019

Variable Rate Deep Image Compression With a Conditional Autoencoder

Yoojin Choi, Mostafa El-Khamy, Jungwon Lee

In this paper, we propose a novel variable-rate learned image compression framework with a conditional autoencoder. Previous learning-based image compression methods mostly require…

cs.CV2019

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…

cs.CV201926 cited

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…