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Proposal Flow: Semantic Correspondences from Object Proposals

Proposal Flow: Semantic Correspondences from Object Proposals

21 March 2017
Bumsub Ham
Minsu Cho
Cordelia Schmid
Jean Ponce
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Papers citing "Proposal Flow: Semantic Correspondences from Object Proposals"

13 / 13 papers shown
Title
MATCHA:Towards Matching Anything
Fei Xue
Sven Elflein
Laura Leal-Taixe
Qunjie Zhou
49
0
0
28 Jan 2025
Differentiable Proximal Graph Matching
Differentiable Proximal Graph Matching
Haoru Tan
Chuang Wang
Xu-Yao Zhang
Cheng-Lin Liu
11
0
0
26 May 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
31
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
Visual correspondence-based explanations improve AI robustness and
  human-AI team accuracy
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Giang Nguyen
Mohammad Reza Taesiri
Anh Totti Nguyen
20
42
0
26 Jul 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
19
122
0
22 Jul 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
19
34
0
14 Feb 2022
Bi-level Feature Alignment for Versatile Image Translation and
  Manipulation
Bi-level Feature Alignment for Versatile Image Translation and Manipulation
Fangneng Zhan
Yingchen Yu
Rongliang Wu
Jiahui Zhang
Kaiwen Cui
Aoran Xiao
Shijian Lu
Ling Shao
24
32
0
07 Jul 2021
Convolutional Hough Matching Networks
Convolutional Hough Matching Networks
Juhong Min
Minsu Cho
15
65
0
31 Mar 2021
Cross-domain Correspondence Learning for Exemplar-based Image
  Translation
Cross-domain Correspondence Learning for Exemplar-based Image Translation
P. Zhang
Bo Zhang
Dong Chen
Lu Yuan
Fang Wen
14
239
0
12 Apr 2020
Deep Semantic Matching with Foreground Detection and Cycle-Consistency
Deep Semantic Matching with Foreground Detection and Cycle-Consistency
Yun-Chun Chen
Po-Hsiang Huang
Li-Yu Yu
Jia-Bin Huang
Ming-Hsuan Yang
Yen-Yu Lin
22
26
0
31 Mar 2020
PARN: Pyramidal Affine Regression Networks for Dense Semantic
  Correspondence
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence
Sangryul Jeon
Seungryong Kim
Dongbo Min
K. Sohn
15
62
0
09 Jul 2018
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