Mapped Convolutions

Mapped Convolutions

26 June 2019

Jan-Michael Frahm

Papers citing "Mapped Convolutions"

13 / 13 papers shown

Title
Cross-Domain Synthetic-to-Real In-the-Wild Depth and Normal Estimation for 3D Scene Understanding Jay Bhanushali Manivannan Muniyandi Praneeth Chakravarthula 3DPC ViT 35 2 0 09 Dec 2022
Neural Contourlet Network for Monocular 360 Depth Estimation Zhijie Shen Chunyu Lin Lang Nie K. Liao Yao Zhao MDE 55 10 0 03 Aug 2022
Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture N. Zioulis G. Albanis Petros Drakoulis Federico Álvarez D. Zarpalas P. Daras 29 11 0 11 Jul 2022
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion Yu-yang Li Yuliang Guo Zhixin Yan Xinyu Huang Ye Duan Liu Ren MDE 26 66 0 02 Mar 2022
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation Yu-yang Li Zhixin Yan Ye Duan Liu Ren MDE 29 13 0 02 Feb 2022
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation Chuanqing Zhuang Zhengda Lu Yiqun Wang Jun Xiao Ying Wang MDE 25 55 0 29 Dec 2021
Pano3D: A Holistic Benchmark and a Solid Baseline for $360^o$ Depth Estimation G. Albanis N. Zioulis Petros Drakoulis V. Gkitsas V. Sterzentsenko Federico Álvarez D. Zarpalas P. Daras MDE 35 47 0 06 Sep 2021
Depth-Adapted CNN for RGB-D cameras Zongwei Wu Guillaume Allibert C. Stolz C. Demonceaux MDE 31 20 0 21 Sep 2020
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere Jonathan A. Weyn Dale Durran R. Caruana AI4Cl 29 257 0 15 Mar 2020
Tangent Images for Mitigating Spherical Distortion Marc Eder Mykhailo Shvets John Lim Jan-Michael Frahm 24 105 0 19 Dec 2019
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 115 876 0 03 Feb 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 264 3,246 0 24 Nov 2016