23 citations · 28 across the 4 of their papers we have counts for
4 papers
Unsupervised Shadow Removal Using Target Consistency Generative Adversarial Network
Chao Tan, Xin Feng
Unsupervised shadow removal aims to learn a non-linear function to map the original image from shadow domain to non-shadow domain in the absence of paired shadow and non-shadow dat…
FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting
Chao Tan, Xin Feng, Jianwu Long +1
With the highly demand of large-scale and real-time weather service for public, a refinement of short-time cloudage prediction has become an essential part of the weather forecast…
TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis
Chenge Li, Gregory Dobler, Xin Feng +1
Object detection and object tracking are usually treated as two separate processes. Significant progress has been made for object detection in 2D images using deep learning network…
Local Contrast Learning
Chuanyun Xu, Yang Zhang, Xin Feng +3
Learning a deep model from small data is yet an opening and challenging problem. We focus on one-shot classification by deep learning approach based on a small quantity of training…