Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence

11 September 2021

Papers citing "Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence"

21 / 21 papers shown

Title
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 86 296 0 04 Apr 2021
Learning to Compose Hypercolumns for Visual Correspondence Juhong Min Jongmin Lee Jean Ponce Minsu Cho OCL 65 79 0 21 Jul 2020
Dual-Resolution Correspondence Networks Xinghui Li Kai Han Shuda Li V. Prisacariu 3DV 119 162 0 16 Jun 2020
Correspondence Networks with Adaptive Neighbourhood Consensus Shuda Li Kai Han Theo W. Costain Henry Howard-Jenkins V. Prisacariu 3DV 51 87 0 26 Mar 2020
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Juhong Min Jongmin Lee Jean Ponce Minsu Cho 85 108 0 18 Aug 2019
Deep Hough Voting for 3D Object Detection in Point Clouds C. Qi Or Litany Kaiming He Leonidas Guibas 3DPC 114 1,290 0 21 Apr 2019
SFNet: Learning Object-aware Semantic Correspondence Junghyup Lee Dohyung Kim Jean Ponce Bumsub Ham 3DPC 71 141 0 03 Apr 2019
Learning Correspondence from the Cycle-Consistency of Time Xinyu Wang Allan Jabri Alexei A. Efros SSL 86 491 0 18 Mar 2019
Recurrent Transformer Networks for Semantic Correspondence Seungryong Kim Stephen Lin Sangryul Jeon Dongbo Min Kwanghoon Sohn ViT 65 101 0 29 Oct 2018
Attentive Semantic Alignment with Offset-Aware Correlation Kernels Paul Hongsuck Seo Jongmin Lee Deunsol Jung Bohyung Han Minsu Cho 79 77 0 06 Aug 2018
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence Sangryul Jeon Seungryong Kim Dongbo Min Kwanghoon Sohn 114 63 0 09 Jul 2018
Proposal Flow: Semantic Correspondences from Object Proposals Bumsub Ham Minsu Cho Cordelia Schmid Jean Ponce 117 136 0 21 Mar 2017
Convolutional neural network architecture for geometric matching Ignacio Rocco Relja Arandjelović Josef Sivic 104 545 0 16 Mar 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,608 0 07 Oct 2016
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound Fausto Milletari Seyed-Ahmad Ahmadi Christine Kroll A. Plate Verena E. Rozanski ... J. Levin O. Dietrich B. Ertl-Wagner K. Boetzel Nassir Navab 231 365 0 26 Jan 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,819 0 02 Nov 2015
Unsupervised Object Discovery and Tracking in Video Collections Suha Kwak Minsu Cho Ivan Laptev Jean Ponce Cordelia Schmid 69 126 0 14 May 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 316 4,180 0 26 Apr 2015
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals Minsu Cho Suha Kwak Cordelia Schmid Jean Ponce 83 280 0 25 Jan 2015
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition V. Lebedev Yaroslav Ganin M. Rakhuba Ivan Oseledets Victor Lempitsky 68 885 0 19 Dec 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 132 1,465 0 15 May 2014