10 citations · 34 across the 15 of their papers we have counts for
8 papers · 1 filter
PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction
Yaping Zhao, Ramgopal Ravi, Shuhui Shi +3
Real estate prices have a significant impact on individuals, families, businesses, and governments. The general objective of real estate price prediction is to identify and exploit…
Cross-Camera Deep Colorization
Yaping Zhao, Haitian Zheng, Mengqi Ji +1
In this paper, we consider the color-plus-mono dual-camera system and propose an end-to-end convolutional neural network to align and fuse images from it in an efficient and cost-e…
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing
Yaping Zhao, Shuhui Shi, Ramgopal Ravi +3
The study of socioeconomic status has been reformed by the availability of digital records containing data on real estate, points of interest, traffic and social media trends such…
Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping
Bodong Zhou, Jiahui Liu, Songyi Cui +1
With the progress of the urbanisation process, the urban transportation system is extremely critical to the development of cities and the quality of life of the citizens. Among the…
Point Cloud Denoising via Momentum Ascent in Gradient Fields
Yaping Zhao, Haitian Zheng, Zhongrui Wang +2
To achieve point cloud denoising, traditional methods heavily rely on geometric priors, and most learning-based approaches suffer from outliers and loss of details. Recently, the g…
MANet: Improving Video Denoising with a Multi-Alignment Network
Yaping Zhao, Haitian Zheng, Zhongrui Wang +2
In video denoising, the adjacent frames often provide very useful information, but accurate alignment is needed before such information can be harnassed. In this work, we present a…
Mathematical Cookbook for Snapshot Compressive Imaging
Yaping Zhao
The author intends to provide you with a beautiful, elegant, user-friendly cookbook for mathematics in Snapshot Compressive Imaging (SCI). Currently, the cookbook is composed of in…
Deep Equilibrium Models for Video Snapshot Compressive Imaging
Yaping Zhao, Siming Zheng, Xin Yuan
The ability of snapshot compressive imaging (SCI) systems to efficiently capture high-dimensional (HD) data has led to an inverse problem, which consists of recovering the HD signa…