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Proposal Flow

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
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
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
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
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
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
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
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
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
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
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
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
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min
Dahyun Kang
Minsu Cho
31
288
0
04 Apr 2021
Convolutional Hough Matching Networks
Convolutional Hough Matching Networks
Juhong Min
Minsu Cho
23
65
0
31 Mar 2021
Aligning Videos in Space and Time
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
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
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
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
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
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
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
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
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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