Fetching the paper…
Reading the bibliography…
Matching local features across images is a fundamental problem in computer vision.
An eigendecomposition approach to weighted graph matching problems
S. Umeyama · 1988
Earlier work this paper cites.
Determining the epipolar geometry and its uncertainty: A review
Zhengyou Zhang · 1998
Earlier work this paper cites.
Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
Earlier work this paper cites.
A spectral technique for correspondence problems using pairwise constraints
M. Leordeanu and M. Hebert · 2005
Earlier work this paper cites.
Multi-view stereo revisited
M. Goesele, B. Curless, and S.M. Seitz · 2006
Earlier work this paper cites.
Graph matching with type constraints on nodes and edges
Catherine FRAIKIN and Paul Van Dooren · 2007
Earlier work this paper cites.
Feature correspondence via graph matching: Models and global optimization
Lorenzo Torresani, Vladimir Kolmogorov, and Carsten Rother · 2008
Earlier work this paper cites.
Learning graph matching
T. S. Caetano, J. J. McAuley, L. Cheng, Q. V. Le, and A. J. Smola · 2009
Earlier work this paper cites.
Three things everyone should know to improve object retrieval
Relja Arandjelović and Andrew Zisserman · 2012
Earlier work this paper cites.
Are we ready for autonomous driving? the kitti vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
Earlier work this paper cites.
A benchmark for the evaluation of rgb-d slam systems
J. Sturm, N. Engelhard, F. Endres, W. Burgard, and D. Cremers · 2012
Earlier work this paper cites.
Sinkhorn distances: Lightspeed computation of optimal transport
Marco Cuturi · 2013
Earlier work this paper cites.
Robust global translations with 1dsfm
Kyle Wilson and Noah Snavely · 2014
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift., 2015
Sergey Ioffe and Christian Szegedy · 2015
Earlier work this paper cites.
Spectral clustering for divide-and-conquer graph matching
Vince Lyzinski, Daniel L. Sussman, Donniell E. Fishkind, Henry Pao, Li Chen, Joshua T. Vogelstein, Youngser Park, and Carey E. Priebe · 2015
Earlier work this paper cites.
Orb-slam: A versatile and accurate monocular slam system
R. Mur-Artal, J. M. M. Montiel, and J. D. Tardós · 2015
Earlier work this paper cites.
Discriminative Learning of Deep Convolutional Feature Point Descriptors
Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Pascal Fua, and Francesc Moreno-Noguer · 2015
Earlier work this paper cites.
Tilde: A temporally invariant learned detector
Yannick Verdie, Kwang Moo Yi, Pascal Fua, and Vincent Lepetit · 2015
Earlier work this paper cites.
Guided matching based on statistical optical flow for fast and robust correspondence analysis
Josef Maier, Martin Humenberger, Markus Murschitz, Oliver Zendel, and Markus Vincze · 2016
Earlier work this paper cites.
Structure-from-motion revisited
Johannes L. Schonberger and Jan-Michael Frahm · 2016
Earlier work this paper cites.
Yfcc100m: The new data in multimedia research
Bart Thomee, David A Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, and Li-Jia Li · 2016
Earlier work this paper cites.
Lift: Learned invariant feature transform
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, and Pascal Fua · 2016
Earlier work this paper cites.
Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface re-integration
Angela Dai, Matthias Nießner, Michael Zollöfer, Shahram Izadi, and Christian Theobalt · 2017
Earlier work this paper cites.
Tanks and temples: benchmarking large-scale scene reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
Cited alongside, same era.
Working hard to know your neighbor’s margins: Local descriptor learning loss
Anastasiia Mishchuk, Dmytro Mishkin, Filip Radenovic, and Jiri Matas · 2017
Cited alongside, same era.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2017
Cited alongside, same era.
L2-net: Deep learning of discriminative patch descriptor in euclidean space
Yurun Tian, Bin Fan, and Fuchao Wu · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Superpoint: Self-supervised interest point detection and description
R2d2: Repeatable and reliable detector and descriptor
Jerome Revaud, Philippe Weinzaepfel, César De Souza, Noe Pion, Gabriela Csurka, Yohann Cabon, and Martin Humenberger · 2019
Later among the works it cites.
Learning combinatorial embedding networks for deep graph matching
Runzhong Wang, Junchi Yan, and Xiaokang Yang · 2019
Later among the works it cites.
Recurrent mvsnet for high-resolution multi-view stereo depth inference
Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, and Long Quan · 2019
Later among the works it cites.
Learning two-view correspondences and geometry using order-aware network
Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou, Tianwei Shen, Yurong Chen, Long Quan, and Hongen Liao · 2019
Later among the works it cites.
Handcrafted outlier detection revisited
Luca Cavalli, Viktor Larsson, Martin Ralf Oswald, Torsten Sattler, and Marc Pollefeys · 2020
Later among the works it cites.
Learning to guide local feature matches
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
D. DeTone, T. Malisiewicz, and A. Rabinovich · 2018
Cited alongside, same era.
Seeded graph matching
Donniell E. Fishkind, Sancar Adali, Heather G. Patsolic, Lingyao Meng, Digvijay Singh, Vince Lyzinski, and Carey E. Priebe · 2018
Cited alongside, same era.
Megadepth: Learning single-view depth prediction from internet photos
Zhengqi Li and Noah Snavely · 2018
Cited alongside, same era.
Generating wikipedia by summarizing long sequences
Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer · 2018
Cited alongside, same era.
Geodesc: Learning local descriptors by integrating geometry constraints
Zixin Luo, Tianwei Shen, Lei Zhou, Siyu Zhu, Runze Zhang, Yao Yao, Tian Fang, and Long Quan · 2018
Cited alongside, same era.
Revisiting oxford and paris: Large-scale image retrieval benchmarking
Filip Radenović, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, and Ondřej Chum · 2018
Cited alongside, same era.
Benchmarking 6dof outdoor visual localization in changing conditions
Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Fredrik Kahl, and Tomas Pajdla · 2018
Cited alongside, same era.
François Darmon, Mathieu Aubry, and Pascal Monasse · 2020
Later among the works it cites.
Deep graph matching consensus
Matthias Fey, Jan E. Lenssen, Christopher Morris, Jonathan Masci, and Nils M. Kriege · 2020
Later among the works it cites.
Reformer: The efficient transformer
Nikita Kitaev, Łukasz Kaiser, and Anselm Levskaya · 2020
Later among the works it cites.
Aslfeat: Learning local features of accurate shape and localization
Zixin Luo, Lei Zhou, Xuyang Bai, Hongkai Chen, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, and Long Quan · 2020
Later among the works it cites.
Superglue: Learning feature matching with graph neural networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2020
Later among the works it cites.
Ransac-flow: generic two-stage image alignment
Xi Shen, François Darmon, Alexei A Efros, and Mathieu Aubry · 2020
Later among the works it cites.
Guide to match: Multi-layer feature matching with a hybrid gaussian mixture model
K. Sun, W. Tao, and Y. Qian · 2020
Later among the works it cites.
Acne: Attentive context normalization for robust permutation-equivariant learning
Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, and Kwang Moo Yi · 2020
Later among the works it cites.
Acne: Attentive context normalization for robust permutation-equivariant learning
Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, and Kwang Moo Yi · 2020
Later among the works it cites.
Sparse sinkhorn attention
Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, and Da-Cheng Juan · 2020
Later among the works it cites.
Linformer: Self-attention with linear complexity
Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, and Hao Ma · 2020
Later among the works it cites.
Second-order pooling for graph neural networks
Z. Wang and S. Ji · 2020
Later among the works it cites.
Visibility-aware multi-view stereo network
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, and Tian Fang · 2020
Later among the works it cites.
Learning stereo matchability in disparity regression networks
Jingyang Zhang, Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, and Long Quan · 2020
Later among the works it cites.
Kfnet: Learning temporal camera relocalization using kalman filtering
Lei Zhou, Zixin Luo, Tianwei Shen, Jiahui Zhang, Mingmin Zhen, Yao Yao, Tian Fang, and Long Quan · 2020
Later among the works it cites.
Pointdsc: Robust point cloud registration using deep spatial consistency
Xuyang Bai, Zixin Luo, Lei Zhou, Hongkai Chen, Lei Li, Zeyu Hu, Hongbo Fu, and Chiew-Lan Tai · 2021
Closest in time.
Learning camera localization via dense scene matching
Shitao Tang, Chengzhou Tang, Rui Huang, Siyu Zhu, and Ping Tan · 2021
Closest in time.