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Blending representation learning approaches with simultaneous localization and mapping (SLAM) systems is an open question, because of their highly modular and complex nature.
A flexible growth function for empirical use
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A volumetric method for building complex models from range images
Brian Curless and Marc Levoy · 1996
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Damping–undamping strategies for the levenberg–marquardt nonlinear least-squares method
Michael Lampton · 1997
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Interactive ray tracing for isosurface rendering
Steven Parker, Peter Shirley, Yarden Livnat, Charles Hansen, and P-P Sloan · 1998
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Tracing ray differentials
Homan Igehy · 1999
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Kinectfusion: Real-time dense surface mapping and tracking
Richard A Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J Davison, Pushmeet Kohli, Jamie Shotton, Steve Hodges, and Andrew W Fitzgibbon · 2011
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Real-time visual odometry from dense rgb-d images
Frank Steinbrücker, Jürgen Sturm, and Daniel Cremers · 2011
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Deep neural networks for acoustic modeling in speech recognition
Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Brian Kingsbury, et al · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Modeling kinect sensor noise for improved 3d reconstruction and tracking
Chuong V Nguyen, Shahram Izadi, and David Lovell · 2012
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A benchmark for the evaluation of rgb-d slam systems
J. Sturm, N. Engelhard, F. Endres, W. Burgard, and D. Cremers · 2012
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Real-time 3d reconstruction in dynamic scenes using point-based fusion
Maik Keller, Damien Lefloch, Martin Lambers, Shahram Izadi, Tim Weyrich, and Andreas Kolb · 2013
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Robust odometry estimation for rgb-d cameras
Christian Kerl, Jürgen Sturm, and Daniel Cremers · 2013
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LSD-SLAM: Large-scale direct monocular SLAM
J. Engel, T. Schöps, and D. Cremers · 2014
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A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
A. Handa, T. Whelan, J.B. McDonald, and A.J. Davison · 2014
Cited alongside, same era.
Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 2015
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Posenet: A convolutional network for real-time 6-dof camera relocalization
Alex Kendall, Matthew Grimes, and Roberto Cipolla · 2015
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Real-time large-scale dense rgb-d slam with volumetric fusion
Thomas Whelan, Michael Kaess, Hordur Johannsson, Maurice Fallon, John J Leonard, and John McDonald · 2015
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Unsupervised cnn for single view depth estimation: Geometry to the rescue
Ravi Garg, Vijay Kumar BG, Gustavo Carneiro, and Ian Reid · 2016
Cited alongside, same era.
gvnn: Neural network library for geometric computer vision
Ankur Handa, Michael Bloesch, Viorica Pătrăucean, Simon Stent, John McCormac, and Andrew Davison · 2016
Codeslam—learning a compact, optimisable representation for dense visual slam
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, and Andrew J Davison · 2018
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Active neural localization
Devendra Singh Chaplot, Emilio Parisotto, and Ruslan Salakhutdinov · 2018
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Ls-net: Learning to solve nonlinear least squares for monocular stereo
Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, and Andrew J Davison · 2018
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Regnet: Learning the optimization of direct image-to-image pose registration
Lei Han, Mengqi Ji, Lu Fang, and Matthias Nießner · 2018
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Undeepvo: Monocular visual odometry through unsupervised deep learning
Ruihao Li, Sen Wang, Zhiqiang Long, and Dongbing Gu · 2018
Later among the works it cites.
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Cited alongside, same era.
Slam with objects using a nonparametric pose graph
B. Mu, S. Liu, L. Paull, J. Leonard, and J. P. How · 2016
Cited alongside, same era.
OptNet: Differentiable optimization as a layer in neural networks
Brandon Amos and J. Zico Kolter · 2017
Cited alongside, same era.
Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Weakly supervised 3d reconstruction with adversarial constraint
JunYoung Gwak, Christopher B Choy, Manmohan Chandraker, Animesh Garg, and Silvio Savarese · 2017
Cited alongside, same era.
Automatic differentiation in pytorch, 2017
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
Cited alongside, same era.
P. Parkhiya, R. Khawad, J. K. Murthy, B. Bhowmick, and K. M. Krishna · 2018
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Deeptam: Deep tracking and mapping
Huizhong Zhou, Benjamin Ummenhofer, and Thomas Brox · 2018
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End-to-end lane detection through differentiable least-squares fitting
Bert De Brabandere, Wouter Van Gansbeke, Davy Neven, Marc Proesmans, and Luc Van Gool · 2019
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Deep active localization
S. K. Gottipati, K. Seo, D. Bhatt, V. Mai, K. Murthy, and L. Paull · 2019
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Generalized inner loop meta-learning
Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, and Soumith Chintala · 2019
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Scene representation networks: Continuous 3d-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 2019
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Ba-net: Dense bundle adjustment network
Chengzhou Tang and Ping Tan · 2019
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Gn-net: The gauss-newton loss for deep direct SLAM
Lukas von Stumberg, Patrick Wenzel, Qadeer Khan, and Daniel Cremers · 2019
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Cubeslam: Monocular 3-d object slam
S. Yang and S. Scherer · 2019
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Scenecode: Monocular dense semantic reconstruction using learned encoded scene representations
Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, and Andrew J Davison · 2019
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Kornia: an open source differentiable computer vision library for pytorch
Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee, and Gary Bradski · 2020
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