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PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex
  Constraints for Multimodel Image Alignment

PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment

21 March 2023
Yiqing Zhang
Xinming Huang
Ziming Zhang
ArXiv (abs)PDFHTML

Papers citing "PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment"

32 / 32 papers shown
Title
Iterative Deep Homography Estimation
Iterative Deep Homography Estimation
Sixi Cao
Jianxin Hu
Zehua Sheng
Hui-Liang Shen
79
58
0
30 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition:
  Fundamental, Theory, and Methodologies
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
Zhuang Qian
Kaizhu Huang
Qiufeng Wang
Xu-Yao Zhang
OODAAMLObjD
103
73
0
26 Mar 2022
Contrastive Boundary Learning for Point Cloud Segmentation
Contrastive Boundary Learning for Point Cloud Segmentation
Liyao Tang
Yibing Zhan
Zhe Chen
Baosheng Yu
Dacheng Tao
3DPC
69
103
0
10 Mar 2022
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D
  Point Cloud Understanding
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
Mohamed Afham
Isuru Dissanayake
Dinithi Dissanayake
Amaya Dharmasiri
Kanchana Thilakarathna
Ranga Rodrigo
3DPC
74
255
0
01 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
Guided Point Contrastive Learning for Semi-supervised Point Cloud
  Semantic Segmentation
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Li Jiang
Shaoshuai Shi
Zhuotao Tian
Xin Lai
Shu Liu
Chi-Wing Fu
Jiaya Jia
SSL3DPC
180
117
0
15 Oct 2021
Self-Contrastive Learning with Hard Negative Sampling for
  Self-supervised Point Cloud Learning
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning
Bianli Du
Xiang Gao
Wei Hu
Xin Li
3DPCSSL
51
81
0
05 Jul 2021
Robust Registration of Multimodal Remote Sensing Images Based on
  Structural Similarity
Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity
Y. Ye
J. Shan
Lorenzo Bruzzone
Li Shen
43
362
0
31 Mar 2021
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
Bihan Wen
Qian Wang
AAML
126
489
0
02 Feb 2021
Adaptively Solving the Local-Minimum Problem for Deep Neural Networks
Adaptively Solving the Local-Minimum Problem for Deep Neural Networks
Huachuan Wang
J. Lo
ODL
21
4
0
25 Dec 2020
Intriguing Properties of Contrastive Losses
Intriguing Properties of Contrastive Losses
Ting Chen
Calvin Luo
Lala Li
69
175
0
05 Nov 2020
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
127
1,394
0
31 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSLAI4TS
311
712
0
10 Oct 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
233
4,083
0
17 Jun 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
112
1,329
0
20 May 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSLDRL
134
973
0
11 May 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
486
3,433
0
09 Mar 2020
Fast is better than free: Revisiting adversarial training
Fast is better than free: Revisiting adversarial training
Eric Wong
Leslie Rice
J. Zico Kolter
AAMLOOD
138
1,179
0
12 Jan 2020
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra
Laurens van der Maaten
SSLVLM
105
1,453
0
04 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
204
12,085
0
13 Nov 2019
Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal
  Solvers to Global Outlier Rejection
Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection
Heng Yang
Pasquale Antonante
Vasileios Tzoumas
Luca Carlone
228
230
0
18 Sep 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
169
2,403
0
13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
189
1,475
0
03 Jun 2019
Adversarial Training for Free!
Adversarial Training for Free!
Ali Shafahi
Mahyar Najibi
Amin Ghiasi
Zheng Xu
John P. Dickerson
Christoph Studer
L. Davis
Gavin Taylor
Tom Goldstein
AAML
132
1,249
0
29 Apr 2019
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
Yi Zhou
Junjie Yang
Huishuai Zhang
Yingbin Liang
Vahid Tarokh
58
74
0
02 Jan 2019
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
179
3,458
0
05 May 2018
MAGSAC: marginalizing sample consensus
MAGSAC: marginalizing sample consensus
Dániel Baráth
Jana Noskova
Jirí Matas
51
278
0
20 Mar 2018
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
117
3,051
0
19 Oct 2017
Unsupervised Deep Homography: A Fast and Robust Homography Estimation
  Model
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
Ty Nguyen
Steven W. Chen
Shreyas S. Shivakumar
Camillo J Taylor
Vijay Kumar
51
284
0
12 Sep 2017
Deep Image Homography Estimation
Deep Image Homography Estimation
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
59
440
0
13 Jun 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
277
19,066
0
20 Dec 2014
Regularized M-estimators with nonconvexity: Statistical and algorithmic
  theory for local optima
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-Ling Loh
Martin J. Wainwright
294
517
0
10 May 2013
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