Polar Transformer Networks

6 September 2017

Carlos Esteves

Christine Allen-Blanchette

Papers citing "Polar Transformer Networks"

48 / 48 papers shown

Title
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology Fuyao Chen Yuexi Du Tal Zeevi Nicha Dvornek John Onofrey 26 0 0 08 May 2025
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 43 1 0 06 May 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich A. P. Condurache 50 4 0 17 Mar 2024
A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds Ilyes Batatia 26 0 0 16 Oct 2023
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications Gianfranco Cortés Yue Yu R. Chen Melissa S. Armstrong David E Vaillancourt B. Vemuri 42 1 0 26 May 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning Chenxin Xu R. Tan Yuhong Tan Siheng Chen Yu Wang Xinchao Wang Yanfeng Wang 35 96 0 20 Mar 2023
DeDA: Deep Directed Accumulator Hang Zhang Rongguang Wang Renjiu Hu Jinwei Zhang Jiahao Nick Li MedIm 27 4 0 15 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 16 4 0 02 Mar 2023
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network Hanlin Mo Guoying Zhao 19 30 0 21 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 44 62 0 11 Nov 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 18 3 0 24 Sep 2022
Warped Convolutional Networks: Bridge Homography to sl(3) algebra by Group Convolution Xinrui Zhan Yang Li Wenyu Liu Jianke Zhu 27 0 0 23 Jun 2022
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons Serge Assaad Carlton Downey Rami Al-Rfou Nigamaa Nayakanti Benjamin Sapp 36 18 0 08 Jun 2022
RRL:Regional Rotation Layer in Convolutional Neural Networks Zongbo Hao Tao Zhang MingWang Chen Kaixuan Zhou 19 2 0 25 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath A. P. Condurache 25 8 0 08 Feb 2022
Perspective Transformation Layer Nishant Khatri Agnibh Dasgupta Yucong Shen Xinru Zhong F. Shih 30 3 0 14 Jan 2022
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 22 8 0 22 Nov 2021
Deep Learning for UAV-based Object Detection and Tracking: A Survey Chao Xu Wei Li Danfeng Hong R. Tao Yong Liu 29 180 0 25 Oct 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors Haiping Wang Yuan Liu Zhen Dong Wenping Wang 3DPC 27 124 0 01 Sep 2021
Oriental Language Recognition (OLR) 2020: Summary and Analysis Jing Li Binling Wang Yiming Zhi Zheng Li Lin Li Q. Hong Dong Wang 24 10 0 05 Jul 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 11 23 0 11 Jun 2021
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds Monami Banerjee Rudrasis Chakraborty Jose J. Bouza B. Vemuri 33 11 0 05 Jun 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 79 185 0 19 Apr 2021
Equivariant Point Network for 3D Point Cloud Analysis Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 19 99 0 25 Mar 2021
RoI Tanh-polar Transformer Network for Face Parsing in the Wild Yiming Lin Jie Shen Yujiang Wang M. Pantic CVBM ViT 28 48 0 04 Feb 2021
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality Alisha Sharma Ryan Nett Jonathan Ventura MDE 28 16 0 14 Oct 2020
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers Jinpyo Kim Wookeun Jung Hyungmo Kim Jaejin Lee 11 31 0 21 Jul 2020
Volumetric Transformer Networks Seungryong Kim Sabine Süsstrunk Mathieu Salzmann ViT 19 5 0 18 Jul 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 24 69 0 18 Jun 2020
Cortical surface registration using unsupervised learning Jieyu Cheng Adrian V. Dalca Bruce Fischl Lilla Zöllei 24 33 0 09 Apr 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 28 316 0 25 Feb 2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis Maxime W. Lafarge Erik J. Bekkers J. Pluim R. Duits M. Veta MedIm 27 74 0 20 Feb 2020
Person Re-identification by Contour Sketch under Moderate Clothing Change Q. Yang Ancong Wu Weishi Zheng 16 189 0 06 Feb 2020
RSL-Net: Localising in Satellite Images From a Radar on the Ground T. Y. Tang Daniele De Martini Dan Barnes Paul Newman 17 64 0 09 Jan 2020
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods Luca Della Libera Vladimir Golkov Yue Zhu Arman Mielke Daniel Cremers 3DH 3DPC 25 4 0 31 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation Hang Gao Xizhou Zhu Steve Lin Jifeng Dai 21 64 0 07 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 26 129 0 26 Sep 2019
Beyond Cartesian Representations for Local Descriptors Patrick Ebel Anastasiia Mishchuk K. M. Yi Pascal Fua Eduard Trulls 16 78 0 15 Aug 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness Fanny Yang Zuowen Wang C. Heinze-Deml 25 42 0 26 Jun 2019
SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning Rudrasis Chakraborty Jiayun Wang Stella X. Yu 19 15 0 24 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 27 19 0 29 May 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 27 24 0 31 Mar 2019
Equivariant Transformer Networks Kai Sheng Tai Peter Bailis Gregory Valiant ViT 19 68 0 25 Jan 2019
Probably Unknown: Deep Inverse Sensor Modelling In Radar Rob Weston Sarah H. Cen Paul Newman Ingmar Posner 18 75 0 18 Oct 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 39 264 0 24 Jun 2018
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 37 557 0 30 May 2018
Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image Huazhu Fu Jun Cheng Yanwu Xu Changqing Zhang D. Wong Jiang-Dong Liu Xiaochun Cao 26 345 0 19 May 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 32 205 0 26 Apr 2018