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High-resolution wide-angle fisheye images are becoming more and more important for robotics applications such as autonomous driving.
Parametric correspondence and chamfer matching: Two new techniques for image matching
H.G. Barrow and J.M. Tenenbaum · 1977
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Computing Fourier transforms and convolutions on the 2-sphere
J. R. Driscoll and D. M. Healy · 1994
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Analysis issues for large CMB data sets
K. M. Gorski, E. Hivon, and B. D. Wandelt · 1998
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The mnist database of handwritten digit images for machine learning research [best of the web]
Li Deng · 2012
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The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes
German Ros, Laura Sellart, Joanna Materzynska, David Vazquez, and Antonio M. Lopez · 2016
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Joint 2D-3D-Semantic Data for Indoor Scene Understanding
I. Armeni, A. Sax, A. R. Zamir, and S. Savarese · 2017
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CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, and Łukasz Kaiser · 2017
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Spherical CNNs
Taco S. Cohen, Mario Geiger, Jonas Köhler, and Max Welling · 2018
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Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, and Kostas Daniilidis · 2018
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Clebsch– Gordan Nets: A Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor, Zhen Lin, and Shubhendu Trivedi · 2018
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Distortion-aware convolutional filters for dense prediction in panoramic images
Keisuke Tateno, Nassir Navab, and Federico Tombari · 2018
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Covariance in physics and convolutional neural networks
Miranda CN Cheng, Vassilis Anagiannis, Maurice Weiler, Pim de Haan, Taco S Cohen, and Max Welling · 2019
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Gauge equivariant convolutional networks and the Icosahedral CNN
Taco Cohen, Maurice Weiler, Berkay Kicanaoglu, and Max Welling · 2019
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Convolutions on spherical images
Marc Eder and Jan-Michael Frahm · 2019
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Surface Networks via general covers
Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, and Yaron Lipman · 2019
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Spherical CNNs on unstructured grids
Chiyu Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, and Matthias Nießner · 2019
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Convolutional neural networks on the HEALPix sphere: A pixel-based algorithm and its application to CMB data analysis
Krachmalnicoff, N. and Tomasi, M · 2019
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SpherePHD: Applying CNNs on a spherical PolyHeDron representation of 360 degree images
Yeonkun Lee, Jaeseok Jeong, Jongseob Yun, Wonjune Cho, and Kuk-Jin Yoon · 2019
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DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications
Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak, and Raphael Sgier · 2019
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Woodscape: A multi-task, multi-camera fisheye dataset for autonomous driving
S. Yogamani, C. Hughes, J. Horgan, G. Sistu, S. Chennupati, M. Uricar, S. Milz, M. Simon, K. Amende, C. Witt, H. Rashed, S. Nayak, S. Mansoor, P. Varley, X. Perrotton, D. Odea, and P. Perez · 2019
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Orientation-Aware Semantic Segmentation on Icosahedron Spheres
Chao Zhang, Stephan Liwicki, William Smith, and Roberto Cipolla · 2019
Swin-Unet: Unet-like pure transformer for medical image segmentation
Hu Cao, Yueyue Wang, Joy Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, and Manning Wang · 2022
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Sungmin Cho, Raehyuk Jung, and Junseok Kwon · 2022
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Embracing single stride 3d object detector with sparse transformer
Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, and Zhaoxiang Zhang · 2022
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Equivariance versus augmentation for spherical images
Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, and Daniel Persson · 2022
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Adaptive Fourier neural operators: Efficient token mixers for transformers
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Aanandkumar, and Bryan Catanzaro · 2022
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healpy: equal area pixelization and spherical harmonics transforms for data on the sphere in Python
Andrea Zonca, Leo Singer, Daniel Lenz, Martin Reinecke, Cyrille Rosset, Eric Hivon, and Krzysztof Gorski · 2019
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DeepSphere: A graph-based spherical CNN
Michaël Defferrard, Martino Milani, Frédérick Gusset, and Nathanaël Perraudin · 2020
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Spin-weighted spherical CNNs
Carlos Esteves, Ameesh Makadia, and Kostas Daniilidis · 2020
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Efficient generalized spherical CNNs
Oliver Cobb, Christopher G. R. Wallis, Augustine N. Mavor-Parker, Augustin Marignier, Matthew A. Price, Mayeul d’Avezac, and Jason McEwen · 2021
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An image is woth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
Cited alongside, same era.
Spherical Transformer: Adapting spherical signal to CNNs
Haikuan Du, Hui Cao, Shen Cai, Junchi Yan, and Siyu Zhang · 2021
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Gauge equivariant transformer
Lingshen He, Yiming Dong, Yisen Wang, Dacheng Tao, and Zhouchen Lin · 2021
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Stratified transformer for 3d point cloud segmentation
Xin Lai, Jianhui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, and Jiaya Jia · 2022
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GraphCast: Learning skillful medium-range global weather forecasting, 2022
Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Ferran Alet, Suman Ravuri, Timo Ewalds, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Oriol Vinyals, Jacklynn Stott, Alexander Pritzel, Shakir Mohamed, and Peter Battaglia · 2022
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Swin transformer v2: Scaling up capacity and resolution
Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, and Baining Guo · 2022
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Survey on fish-eye cameras and their applications in intelligent vehicles
Yeqiang Qian, Ming Yang, and John M. Dolan · 2022
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SynWoodScape: Synthetic surround-view fisheye camera dataset for autonomous driving
Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar, Hazem Rashed, Senthil Yogamani, Pascal Vasseur, and Paul Honeine · 2022
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Accurate medium-range global weather forecasting with 3D neural networks
Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian · 2023
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Geometric deep learning and equivariant neural networks
Jan E Gerken, Jimmy Aronsson, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, and Daniel Persson · 2023
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SWPT: Spherical window-based point cloud transformer
Xindong Guo, Yu Sun, Rong Zhao, Liqun Kuang, and Xie Han · 2023
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Interpolated selectionconv for spherical images and surfaces
D. Hart, M. Whitney, and B. Morse · 2023
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FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators
Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, and Anima Anandkumar · 2023
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Spherical transformer for LiDAR-based 3d recognition
Xin Lai, Yukang Chen, Fanbin Lu, Jianhui Liu, and Jiaya Jia · 2023
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ClimaX: A foundation model for weather and climate
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, and Aditya Grover · 2023
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