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Registration is the process that computes the transformation that aligns sets of data.
Deep Sketch-Based Modeling of Man-Made Shapes
Smirnov, D.; Bessmeltsev, M.; Solomon, J · 1906
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Coherent point drift networks: Unsupervised learning of non-rigid point set registration
Wang, L.; Fang, Y · 1906
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An Iterative Image Registration Technique with an Application to Stereo Vision
Lucas, B.D.; Kanade, T · 1981
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In Human-Computer Interaction: A Multidisciplinary Approach
Norman, D.A. Some Observations on Mental Models · 1987
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Knowledge representation: an approach to artificial intelligence
Bench-Capon, T.J.M · 1990
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How do scientists think?Capturing the dynamics of conceptual change in science
Nersessian, N · 1992
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Three-dimensional models of the abdominal vasculature based on helical CT: usefulness in patients with pancreatic neoplasms
Zeman, R.K.; Davros, W.J.; Berman, P.; Weltman, D.I.; Silverman, P.M.; Cooper, C.; Evans, S.R.; Buras, R.R.; Stahl, T.J.; Nauta, R.J · 1994
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Mental models, conceptual models, and modelling
Greca, I.M.; Moreira, M.A · 2000
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Deform-GAN: An Unsupervised Learning Model for Deformable Registration
Zhang, X.; Jian, W.; Chen, Y.; Yang, S · 2002
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Deep Learning for 3D Point Cloud Understanding: A Survey
Lu, H.; Shi, H · 2003
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A Review on Deep Learning Techniques for Video Prediction
Oprea, S.; Martinez-Gonzalez, P.; Garcia-Garcia, A.; Castro-Vargas, J.A.; Orts-Escolano, S.; Garcia-Rodriguez, J.; Argyros, A · 2004
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A review of recent range image registration methods with accuracy evaluation
Salvi, J.; Matabosch, C.; Fofi, D.; Forest, J · 2006
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4D-CT lung motion estimation with deformable registration: Quantification of motion nonlinearity and hysteresis
Boldea, V.; Sharp, G.C.; Jiang, S.B.; Sarrut, D · 2008
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Numerical Geometry of Non-Rigid Shapes
Bronstein, A.M.; Bronstein, M.M.; Kimmel, R · 2008
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Deterministic PointNetLK for Generalized Registration
Li, X.; Pontes, J.K.; Lucey, S · 2008
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DeepGMR: Learning Latent Gaussian Mixture Models for Registration
Yuan, W.; Eckart, B.; Kim, K.; Jampani, V.; Fox, D.; Kautz, J · 2008
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Evaluation framework for algorithms segmenting short axis cardiac MRI
Radau, P.; Lu, Y.; Connelly, K.; Paul, G.; Dick, A.; Wright, G · 2009
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Learning multiple layers of features from tiny images
Krizhevsky, A.; Hinton, G.; others · 2009
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ImageNet: A large-scale hierarchical image database
Deng, J.; Dong, W.; Socher, R.; Li, L.J.; Li, K.; Fei-Fei, L · 2009
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3D Pottery content-based retrieval based on pose normalisation and segmentation
Koutsoudis, A.; Pavlidis, G.; Liami, V.; Tsiafakis, D.; Chamzas, C · 2010
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Multi-spectral SIFT for scene category recognition
Brown, M.; Susstrunk, S · 2011
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Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid
Tam, G.K.L.; Cheng, Z.Q.; Lai, Y.K.; Langbein, F.C.; Liu, Y.; Marshall, D.; Martin, R.R.; Sun, X.F.; Rosin, P.L · 2012
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Challenging data sets for point cloud registration algorithms
Pomerleau, F.; Liu, M.; Colas, F.; Siegwart, R · 2012
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Active co-analysis of a set of shapes
Wang, Y.; Asafi, S.; van Kaick, O.; Zhang, H.; Cohen-Or, D.; Chen, B · 2012
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Are we ready for autonomous driving? The KITTI vision benchmark suite
Geiger, A.; Lenz, P.; Urtasun, R · 2012
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101 Labeled Brain Images and a Consistent Human Cortical Labeling Protocol
Klein, A.; Tourville, J · 2012
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Diabetic Retinopathy Grading by Digital Curvelet Transform
Alipour, S.H.M.; Rabbani, H.; Akhlaghi, M.R · 2012
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SHREC’13 Track: Large Scale Sketch-Based 3D Shape Retrieval
Li, B.; Lu, Y.; Godil, A.; Schreck, T.; Aono, M.; Johan, H.; Saavedra, J.M.; Tashiro, S · 2013
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Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
Shotton, J.; Glocker, B.; Zach, C.; Izadi, S.; Criminisi, A.; Fitzgibbon, A · 2013
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SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels
Xiao, J.; Owens, A.; Torralba, A · 2013
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Beyond PASCAL: A benchmark for 3D object detection in the wild
Xiang, Y.; Mottaghi, R.; Savarese, S · 2014
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Unsupervised feature learning for 3D scene labeling
Lai, K.; Bo, L.; Fox, D · 2014
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FAUST: Dataset and Evaluation for 3D Mesh Registration
Bogo, F.; Romero, J.; Loper, M.; Black, M.J · 2014
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Learning deep features for scene recognition using places database
Zhou, B.; Lapedriza, A.; Xiao, J.; Torralba, A.; Oliva, A · 2014
Cited alongside, same era.
A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
Handa, A.; Whelan, T.; McDonald, J.; Davison, A.J · 2014
Cited alongside, same era.
Shapenet: An information-rich 3d model repository
Chang, A.X.; Funkhouser, T.; Guibas, L.; Hanrahan, P.; Huang, Q.; Li, Z.; Savarese, S.; Savva, M.; Song, S.; Su, H.; et al · 2015
Cited alongside, same era.
Semantic shape editing using deformation handles
Yumer, M.E.; Chaudhuri, S.; Hodgins, J.K.; Kara, L.B · 2015
Cited alongside, same era.
3D ShapeNets: A deep representation for volumetric shapes
Wu, Z.; Song, S.; Khosla, A.; Yu, F.; Zhang, L.; Tang, X.; Xiao, J · 2015
Cited alongside, same era.
Deep Learning Face Attributes in the Wild
A survey on deep learning techniques for image and video semantic segmentation
Garcia-Garcia, A.; Orts-Escolano, S.; Oprea, S.; Villena-Martinez, V.; Martinez-Gonzalez, P.; Garcia-Rodriguez, J · 2018
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3D-CODED: 3D Correspondences by Deep Deformation. In ECCV
Groueix, T.; Fisher, M.; Kim, V.G.; Russell, B.C.; Aubry, M · 2018
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3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
Hermoza, R.; Sipiran, I · 2018
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3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration. In ECCV
Yew, Z.J.; Lee, G.H · 2018
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ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
Lin, C.H.; Yumer, E.; Wang, O.; Shechtman, E.; Lucey, S · 2018
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Deformable Shape Completion with Graph Convolutional Autoencoders
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Liu, Z.; Luo, P.; Wang, X.; Tang, X · 2015
Cited alongside, same era.
Robust reconstruction of indoor scenes
Choi, S.; Zhou, Q.Y.; Koltun, V · 2015
Cited alongside, same era.
Non-rigid point set registration using color and data downsampling
Saval-Calvo, M.; Orts-Escolano, S.; Azorin-Lopez, J.; Garcia-Rodriguez, J.; Fuster-Guillo, A.; Morell-Gimenez, V.; Cazorla, M · 2015
Cited alongside, same era.
Deep learning
LeCun, Y.; Bengio, Y.; Hinton, G · 2015
Cited alongside, same era.
VoxNet: A 3D Convolutional Neural Network for real-time object recognition
Maturana, D.; Scherer, S · 2015
Cited alongside, same era.
U-Net:Convolutional Networks for Biomedical Image Segmentation. In Lect. Notes Comput. Sci
Ronneberger, O.; Fischer, P.; Brox, T · 2015
Cited alongside, same era.
Learning Semantic Deformation Flows with 3D Convolutional Networks. In ECCV
Yumer, M.E.; Mitra, N.J · 2016
Cited alongside, same era.
Litany, O.; Bronstein, A.; Bronstein, M.; Makadia, A · 2018
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Deformable medical image registration using generative adversarial networks
Mahapatra, D.; Antony, B.; Sedai, S.; Garnavi, R · 2018
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Deep Multi-Spectral Registration Using Invariant Descriptor Learning
Ofir, N.; Silberstein, S.; Levi, H.; Rozenbaum, D.; Keller, Y.; Bar, S.D · 2018
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Adversarial Image Registration with Application for MR and TRUS Image Fusion. In MLMI
Yan, P.; Xu, S.; Rastinehad, A.R.; Wood, B.J · 2018
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3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
Wang, Z.; Rosa, S.; Yang, B.; Wang, S.; Trigoni, N.; Markham, A · 2018
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The history began from alexnet: A comprehensive survey on deep learning approaches
Alom, M.Z.; Taha, T.M.; Yakopcic, C.; Westberg, S.; Sidike, P.; Nasrin, M.S.; Van Esesn, B.C.; Awwal, A.A.S.; Asari, V.K · 2018
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Imagination machines: A new challenge for artificial intelligence
Mahadevan, S · 2018
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SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters. In ECCV
Xu, Y.; Fan, T.; Xu, M.; Zeng, L.; Qiao, Y · 2018
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An Unsupervised Learning Model for Deformable Medical Image Registration
Balakrishnan, G.; Zhao, A.; Sabuncu, M.R.; Dalca, A.V.; Guttag, J · 2018
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A Review of Point Set Registration:From Pairwise Registration to Groupwise Registration
Zhu, H.; Guo, B.; Zou, K.; Li, Y.; Yuen, K.V.; Mihaylova, L.; Leung, H · 2019
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DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
Ding, L.; Feng, C · 2019
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Garnet: A two-stream network for fast and accurate 3d cloth draping
Gundogdu, E.; Constantin, V.; Seifoddini, A.; Dang, M.; Salzmann, M.; Fua, P · 2019
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FAIM – A ConvNet Method for Unsupervised 3D Medical Image Registration. In MLMI
Kuang, D.; Schmah, T · 2019
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FlowNet3D: Learning Scene Flow in 3D Point Clouds
Liu, X.; Qi, C.R.; Guibas, L.J · 2019
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PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet
Aoki, Y.; Goforth, H.; Srivatsan, R.A.; Lucey, S · 2019
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3-D Point Cloud Registration Using Convolutional Neural Networks
Chang, W.C.; Pham, V.T · 2019
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Deformable Cardiovascular Image Registration via Multi-Channel Convolutional Neural Network
Guan, S.; Meng, C.; Xie, Y.; Wang, Q.; Sun, K.; Wang, T · 2019
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Learning Free-Form Deformations for 3D Object Reconstruction. In ACCV
Jack, D.; Pontes, J.K.; Sridharan, S.; Fookes, C.; Shirazi, S.; Maire, F.; Eriksson, A · 2019
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Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration. In Lect. Notes Comput. Sci
Schaffert, R.; Wang, J.; Fischer, P.; Borsdorf, A.; Maier, A · 2019
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Pointflow: 3d point cloud generation with continuous normalizing flows
Yang, G.; Huang, X.; Hao, Z.; Liu, M.Y.; Belongie, S.; Hariharan, B · 2019
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Deep Closest Point: Learning Representations for Point Cloud Registration
Wang, Y.; Solomon, J.M · 2019
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3DN: 3D Deformation Network
Wang, W.; Ceylan, D.; Mech, R.; Neumann, U · 2019
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ELF-Nets: Deep Learning on Point Clouds Using Extended Laplacian Filter
Lee, S.H.; Kim, H.U.; Kim, C.S · 2019
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Dynamic Graph CNN for Learning on Point Clouds
Wang, Y.; Sun, Y.; Liu, Z.; Sarma, S.E.; Bronstein, M.M.; Solomon, J.M · 2019
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3DRegNet: A Deep Neural Network for 3D Point Registration
Pais, G.D.; Ramalingam, S.; Govindu, V.M.; Nascimento, J.C.; Chellappa, R.; Miraldo, P · 2020
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The multimodal brain tumor image segmentation benchmark (BRATS)
Menze, B.H.; Jakab, A.; Bauer, S.; Kalpathy-Cramer, J.; Farahani, K.; Kirby, J.; Burren, Y.; Porz, N.; Slotboom, J.; Wiest, R.; others · 2024
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Spatial transformer networks
Jaderberg, M.; Simonyan, K.; Zisserman, A · 2025
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