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1511.05065
Cited By
Proposal Flow
16 November 2015
Bumsub Ham
Minsu Cho
Cordelia Schmid
Jean Ponce
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Papers citing
"Proposal Flow"
23 / 23 papers shown
Title
MATCHA:Towards Matching Anything
Fei Xue
Sven Elflein
Laura Leal-Taixe
Qunjie Zhou
54
0
0
28 Jan 2025
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
Sung‐Jin Hong
Seokju Cho
Seungryong Kim
Stephen Lin
ViT
51
5
0
17 Mar 2024
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
Junyi Zhang
Charles Herrmann
Junhwa Hur
Eric Chen
Varun Jampani
Deqing Sun
Ming-Hsuan Yang
24
37
0
28 Nov 2023
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
Grace Luo
Lisa Dunlap
Dong Huk Park
Aleksander Holynski
Trevor Darrell
42
119
0
23 May 2023
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence
Sunghwan Hong
Seokju Cho
Seung Wook Kim
Stephen Lin
3DV
42
4
0
19 Sep 2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
Sunghwan Hong
Seokju Cho
Jisu Nam
Stephen Lin
Seung Wook Kim
ViT
24
123
0
22 Jul 2022
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry
Wei-Chiu Ma
A. Yang
Shenlong Wang
R. Urtasun
Antonio Torralba
48
26
0
16 Jun 2022
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences
Prune Truong
Martin Danelljan
Feng Yu
Luc Van Gool
22
31
0
08 Mar 2022
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
Seokju Cho
Sunghwan Hong
Seung Wook Kim
ViT
27
34
0
14 Feb 2022
Object-Guided Day-Night Visual Localization in Urban Scenes
Assia Benbihi
C´edric Pradalier
Ondřej Chum
16
4
0
09 Feb 2022
Cost Aggregation Is All You Need for Few-Shot Segmentation
Sunghwan Hong
Seokju Cho
Jisu Nam
Seungryong Kim
ViT
29
23
0
22 Dec 2021
CATs: Cost Aggregation Transformers for Visual Correspondence
Seokju Cho
Sunghwan Hong
Sangryul Jeon
Yunsung Lee
Kwanghoon Sohn
Seungryong Kim
ViT
26
86
0
04 Jun 2021
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min
Dahyun Kang
Minsu Cho
31
288
0
04 Apr 2021
Convolutional Hough Matching Networks
Juhong Min
Minsu Cho
23
65
0
31 Mar 2021
Aligning Videos in Space and Time
Senthil Purushwalkam
Tian-Chun Ye
Saurabh Gupta
Abhinav Gupta
30
23
0
09 Jul 2020
A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching
Jae-Hyun Park
Woo-Jeoung Nam
Seong-Whan Lee
27
32
0
04 Feb 2020
Deep Graph Matching Consensus
Matthias Fey
J. E. Lenssen
Christopher Morris
Jonathan Masci
Nils M. Kriege
30
207
0
27 Jan 2020
SketchZooms: Deep multi-view descriptors for matching line drawings
Pablo Navarro
J. Orlando
C. Delrieux
Emmanuel Iarussi
3DPC
11
5
0
29 Nov 2019
SCOPS: Self-Supervised Co-Part Segmentation
Wei-Chih Hung
Varun Jampani
Sifei Liu
Pavlo Molchanov
Ming-Hsuan Yang
Jan Kautz
30
139
0
03 May 2019
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence
Sangryul Jeon
Seungryong Kim
Dongbo Min
Kwanghoon Sohn
23
62
0
09 Jul 2018
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
David Novotny
Samuel Albanie
Diane Larlus
Andrea Vedaldi
SSL
27
65
0
04 Apr 2018
Proposal Flow: Semantic Correspondences from Object Proposals
Bumsub Ham
Minsu Cho
Cordelia Schmid
Jean Ponce
21
134
0
21 Mar 2017
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
Seungryong Kim
Dongbo Min
Bumsub Ham
Sangryul Jeon
Stephen Lin
Kwanghoon Sohn
21
130
0
03 Feb 2017
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