Author Info
Name
Affiliation
Papers
HAOYU REN
Chinese Acad Sci, Comp Technol Inst, Key Lab Intelligent Informat Proc, Beijing 100864, Peoples R China
21
Collaborators
Citations 
PageRank 
56
50
7.81
Referers 
Referees 
References 
194
548
299
Search Limit
100548
Title
Citations
PageRank
Year
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results20.372020
SUW-Learn - Joint Supervised, Unsupervised, Weakly Supervised Deep Learning for Monocular Depth Estimation.00.342020
CNF+CT: Context Network Fusion of Cascade-Trained Convolutional Neural Networks for Image Super-Resolution10.352020
Stereo Disparity Estimation Via Joint Supervised, Unsupervised, And Weakly Supervised Learning00.342020
Real-World Super-Resolution using Generative Adversarial Networks.00.342020
TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching.00.342019
Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding.00.342019
Video Super Resolution Based on Deep Convolution Neural Network With Two-Stage Motion Compensation00.342018
Ct-Srcnn: Cascade Trained And Trimmed Deep Convolutional Neural Networks For Image Super Resolution20.362018
Image Super Resolution Based on Fusing Multiple Convolution Neural Networks.100.452017
Object detection using boosted local binaries.20.362016
Object tracking using structure-aware binary features00.342015
Object Detection Using Generalization and Efficiency Balanced Co-Occurrence Features20.362015
Object detection using edge histogram of oriented gradient10.352014
Gender Recognition Using Complexity-Aware Local Features60.422014
Age Estimation Based On Complexity-Aware Features80.442014
Boosted local binaries for object detection10.352014
Efficient Boosted Weak Classifiers For Object Detection00.342013
Strip features for fast object detection.50.452013
A Sample Pre-mapping Method Enhancing Boosting for Object Detection00.342010
Fast Object Detection Using Boosted Co-Occurrence Histograms Of Oriented Gradients100.522010