ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.10689
  4. Cited By
A Deep Ordinal Distortion Estimation Approach for Distortion
  Rectification
v1v2 (latest)

A Deep Ordinal Distortion Estimation Approach for Distortion Rectification

21 July 2020
K. Liao
Chunyu Lin
Yao-Min Zhao
ArXiv (abs)PDFHTMLGithub (7★)

Papers citing "A Deep Ordinal Distortion Estimation Approach for Distortion Rectification"

15 / 15 papers shown
Title
A Deep Single Image Rectification Approach for Pan-Tilt-Zoom Cameras
A Deep Single Image Rectification Approach for Pan-Tilt-Zoom Cameras
Teng Xiao
Q. Hu
Q. Yan
Wei Liu
Zhiwei Ye
F. Deng
57
0
0
09 Apr 2025
Deep Learning for Camera Calibration and Beyond: A Survey
Deep Learning for Camera Calibration and Beyond: A Survey
K. Liao
Lang Nie
Shujuan Huang
Chunyu Lin
Jing Zhang
Yao Zhao
Moncef Gabbouj
Dacheng Tao
130
27
0
19 Mar 2023
NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising
NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising
Yingkun Hou
Jun Xu
Mingxia Liu
Guanghai Liu
Li Liu
Fan Zhu
Ling Shao
58
86
0
17 Jun 2019
Learning to Calibrate Straight Lines for Fisheye Image Rectification
Learning to Calibrate Straight Lines for Fisheye Image Rectification
Zhucun Xue
Nan Xue
Gui-Song Xia
Weiming Shen
61
76
0
22 Apr 2019
Random Forest with Learned Representations for Semantic Segmentation
Random Forest with Learned Representations for Semantic Segmentation
Byeongkeun Kang
Truong Thao Nguyen
49
31
0
23 Jan 2019
Salient Object Detection with Lossless Feature Reflection and Weighted
  Structural Loss
Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss
Pingping Zhang
Wen Liu
Huchuan Lu
Chunhua Shen
114
52
0
21 Jan 2019
Cross-Modal Attentional Context Learning for RGB-D Object Detection
Cross-Modal Attentional Context Learning for RGB-D Object Detection
Guanbin Li
Yukang Gan
Hejun Wu
Nong Xiao
Liang Lin
76
65
0
30 Oct 2018
A Generic Multi-Projection-Center Model and Calibration Method for Light
  Field Cameras
A Generic Multi-Projection-Center Model and Calibration Method for Light Field Cameras
Qi Zhang
Chunping Zhang
Jinbo Ling
Qing Wang
Jingyi Yu
3DV
31
44
0
07 Aug 2018
Learning to Exploit the Prior Network Knowledge for Weakly-Supervised
  Semantic Segmentation
Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation
Carolina Redondo-Cabrera
Marcos Baptista-Rios
Roberto J. López-Sastre
46
34
0
13 Apr 2018
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye
  Image Rectification
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification
Xiaoqing Yin
Xinchao Wang
Jun-chen Yu
Maojun Zhang
Pascal Fua
Dacheng Tao
50
114
0
13 Apr 2018
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
883
27,373
0
02 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
520
62,294
0
04 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,667
0
01 May 2014
1