137 citations · 204 across the 8 of their papers we have counts for
9 papers
Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion
Aven Samareh, Yan Jin, Zhangyang Wang +2
We present our preliminary work to determine if patient's vocal acoustic, linguistic, and facial patterns could predict clinical ratings of depression severity, namely Patient Heal…
End-to-End United Video Dehazing and Detection
Boyi Li, Xiulian Peng, Zhangyang Wang +2
The recent development of CNN-based image dehazing has revealed the effectiveness of end-to-end modeling. However, extending the idea to end-to-end video dehazing has not been expl…
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach
Bowen Cheng, Zhangyang Wang, Zhaobin Zhang +5
Emotion recognition from facial expressions is tremendously useful, especially when coupled with smart devices and wireless multimedia applications. However, the inadequate network…
An All-in-One Network for Dehazing and Beyond
Boyi Li, Xiulian Peng, Zhangyang Wang +2
This paper proposes an image dehazing model built with a convolutional neural network (CNN), called All-in-One Dehazing Network (AOD-Net). It is designed based on a re-formulated a…
Learning A Deep Encoder for Hashing
Zhangyang Wang, Yingzhen Yang, Shiyu Chang +2
We investigate the -constrained representation which demonstrates robustness to quantization errors, utilizing the tool of deep learning. Based on the Alternating Dire…
DeepFont: Identify Your Font from An Image
Zhangyang Wang, Jianchao Yang, Hailin Jin +4
As font is one of the core design concepts, automatic font identification and similar font suggestion from an image or photo has been on the wish list of many designers. We study t…