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Dynamic Context Correspondence Network for Semantic Alignment

Dynamic Context Correspondence Network for Semantic Alignment

IEEE International Conference on Computer Vision (ICCV), 2019
8 September 2019
Shuaiyi Huang
Qiuyue Wang
Songyang Zhang
Shipeng Yan
Xuming He
ArXiv (abs)PDFHTML

Papers citing "Dynamic Context Correspondence Network for Semantic Alignment"

49 / 49 papers shown
Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition
Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition
Pulkit Kumar
Shuaiyi Huang
Matthew Walmer
Sai Saketh Rambhatla
Abhinav Shrivastava
ViT
188
2
0
05 Aug 2025
Semantic Correspondence: Unified Benchmarking and a Strong Baseline
Semantic Correspondence: Unified Benchmarking and a Strong Baseline
Kaiyan Zhang
Xinghui Li
Jingyi Lu
Kai Han
3DV
430
4
0
23 May 2025
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with DemonstrationsIEEE International Conference on Robotics and Automation (ICRA), 2025
Shuaiyi Huang
Mara Levy
Anubhav Gupta
Daniel Ekpo
Ruijie Zheng
Abhinav Shrivastava
261
3
0
09 May 2025
A Lightweight Multi-Module Fusion Approach for Korean Character Recognition
A Lightweight Multi-Module Fusion Approach for Korean Character Recognition
Inho Jake Park
Jaehoon Jay Jeong
Ho-Sang Jo
207
0
0
08 Apr 2025
ARDuP: Active Region Video Diffusion for Universal Policies
ARDuP: Active Region Video Diffusion for Universal PoliciesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Shuaiyi Huang
Mara Levy
Zhenyu Jiang
Anima Anandkumar
Yuke Zhu
Linxi Fan
De-An Huang
Abhinav Shrivastava
VGen
385
7
0
19 Jun 2024
UVIS: Unsupervised Video Instance Segmentation
UVIS: Unsupervised Video Instance Segmentation
Shuaiyi Huang
Saksham Suri
Kamal Gupta
Sai Saketh Rambhatla
Ser-Nam Lim
Abhinav Shrivastava
VLM
285
4
0
11 Jun 2024
Independently Keypoint Learning for Small Object Semantic Correspondence
Independently Keypoint Learning for Small Object Semantic CorrespondenceExpert systems with applications (ESWA), 2024
Hailong Jin
Huiying Li
296
2
0
03 Apr 2024
What is Point Supervision Worth in Video Instance Segmentation?
What is Point Supervision Worth in Video Instance Segmentation?
Shuaiyi Huang
De-An Huang
Zhiding Yu
Shiyi Lan
Subhashree Radhakrishnan
Jose M. Alvarez
Abhinav Shrivastava
A. Anandkumar
VOS
329
6
0
01 Apr 2024
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
308
11
0
17 Mar 2024
Match me if you can: Semantic Correspondence Learning with Unpaired
  Images
Match me if you can: Semantic Correspondence Learning with Unpaired ImagesAsian Conference on Computer Vision (ACCV), 2023
Jiwon Kim
Byeongho Heo
Sangdoo Yun
Seungryong Kim
Dongyoon Han
237
0
0
30 Nov 2023
Efficient Semantic Matching with Hypercolumn Correlation
Efficient Semantic Matching with Hypercolumn Correlation
Seungwook Kim
Juhong Min
Minsu Cho
282
6
0
07 Nov 2023
Quaternion-valued Correlation Learning for Few-Shot Semantic
  Segmentation
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation
Zewen Zheng
Guoheng Huang
Xiaochen Yuan
Chi-Man Pun
Hongzhi Liu
Wing-Kuen Ling
256
28
0
12 May 2023
SimSC: A Simple Framework for Semantic Correspondence with Temperature
  Learning
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning
Matthias Lalisse
Kai Han
Xingchen Wan
P. Smolensky
200
7
0
03 May 2023
Structured Epipolar Matcher for Local Feature Matching
Structured Epipolar Matcher for Local Feature Matching
Jiahao Chang
Jiahuan Yu
Tianzhu Zhang
302
10
0
29 Mar 2023
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching
Adaptive Spot-Guided Transformer for Consistent Local Feature MatchingComputer Vision and Pattern Recognition (CVPR), 2023
Jiahuan Yu
Jiahao Chang
Jianfeng He
Tianzhu Zhang
Feng Wu
331
37
0
29 Mar 2023
Towards Scalable Neural Representation for Diverse Videos
Towards Scalable Neural Representation for Diverse VideosComputer Vision and Pattern Recognition (CVPR), 2023
Bo He
Xitong Yang
Hanyu Wang
Zuxuan Wu
Hao Chen
Shuaiyi Huang
Yixuan Ren
Ser-Nam Lim
Abhinav Shrivastava
222
53
0
24 Mar 2023
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced
  Context-Aware Network
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware NetworkIEEE transactions on multimedia (IEEE TMM), 2023
Huafeng Liu
Pai Peng
Tao Chen
Qiong Wang
Yazhou Yao
Xiansheng Hua
161
80
0
19 Jan 2023
Self-Supervised Geometric Correspondence for Category-Level 6D Object
  Pose Estimation in the Wild
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the WildInternational Conference on Learning Representations (ICLR), 2022
Kaifeng Zhang
Yang Fu
Shubhankar Borse
H. Cai
Fatih Porikli
Xinyu Wang
SSL3DPC
380
29
0
13 Oct 2022
Neural Matching Fields: Implicit Representation of Matching Fields for
  Visual Correspondence
Neural Matching Fields: Implicit Representation of Matching Fields for Visual CorrespondenceNeural Information Processing Systems (NeurIPS), 2022
Sung‐Jin Hong
Jisu Nam
Seokju Cho
Susung Hong
Sangryul Jeon
Dongbo Min
Seung Wook Kim
3DV
236
27
0
06 Oct 2022
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
362
7
0
19 Sep 2022
Learning Semantic Correspondence with Sparse Annotations
Learning Semantic Correspondence with Sparse AnnotationsEuropean Conference on Computer Vision (ECCV), 2022
Shuaiyi Huang
Luyu Yang
Bo He
Songyang Zhang
Xuming He
Abhinav Shrivastava
330
38
0
15 Aug 2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot
  Segmentation
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Sunghwan Hong
Seokju Cho
Jisu Nam
Stephen Lin
Seung Wook Kim
ViT
280
174
0
22 Jul 2022
Few-shot Fine-grained Image Classification via Multi-Frequency
  Neighborhood and Double-cross Modulation
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross ModulationIEEE transactions on multimedia (IEEE TMM), 2022
Hegui Zhu
Zhan Gao
Jiayi Wang
Yangqiaoyu Zhou
Chengqing Li
311
23
0
18 Jul 2022
Demystifying Unsupervised Semantic Correspondence Estimation
Demystifying Unsupervised Semantic Correspondence EstimationEuropean Conference on Computer Vision (ECCV), 2022
Mehmet Aygun
Oisin Mac Aodha
215
13
0
11 Jul 2022
TransforMatcher: Match-to-Match Attention for Semantic Correspondence
TransforMatcher: Match-to-Match Attention for Semantic CorrespondenceComputer Vision and Pattern Recognition (CVPR), 2022
Seungwook Kim
Juhong Min
Minsu Cho
ViT
286
44
0
23 May 2022
Joint Learning of Feature Extraction and Cost Aggregation for Semantic
  Correspondence
Joint Learning of Feature Extraction and Cost Aggregation for Semantic CorrespondenceIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Jiwon Kim
Youngjo Min
Mira Kim
Seung Wook Kim
FedML
204
0
0
05 Apr 2022
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Semi-Supervised Learning of Semantic Correspondence with Pseudo-LabelsComputer Vision and Pattern Recognition (CVPR), 2022
Jiwon Kim
Kwang-seok Ryoo
Junyoung Seo
Gyuseong Lee
Daehwan Kim
Hansang Cho
Seung Wook Kim
267
30
0
30 Mar 2022
Probabilistic Warp Consistency for Weakly-Supervised Semantic
  Correspondences
Probabilistic Warp Consistency for Weakly-Supervised Semantic CorrespondencesComputer Vision and Pattern Recognition (CVPR), 2022
Prune Truong
Martin Danelljan
Feng Yu
Luc Van Gool
224
41
0
08 Mar 2022
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
CATs++: Boosting Cost Aggregation with Convolutions and TransformersIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Seokju Cho
Sunghwan Hong
Seung Wook Kim
ViT
364
56
0
14 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
170
31
0
22 Dec 2021
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
Prune Truong
Martin Danelljan
Radu Timofte
Luc Van Gool
422
109
0
28 Sep 2021
Learning Contrastive Representation for Semantic Correspondence
Learning Contrastive Representation for Semantic CorrespondenceInternational Journal of Computer Vision (IJCV), 2021
Taihong Xiao
Sifei Liu
Shalini De Mello
Zhiding Yu
Jan Kautz
Ming-Hsuan Yang
SSL
311
16
0
22 Sep 2021
Convolutional Hough Matching Networks for Robust and Efficient Visual
  Correspondence
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence
Juhong Min
Seungwook Kim
Minsu Cho
179
17
0
11 Sep 2021
Relational Embedding for Few-Shot Classification
Relational Embedding for Few-Shot ClassificationIEEE International Conference on Computer Vision (ICCV), 2021
Dahyun Kang
Heeseung Kwon
Juhong Min
Minsu Cho
250
238
0
22 Aug 2021
Multi-scale Matching Networks for Semantic Correspondence
Multi-scale Matching Networks for Semantic CorrespondenceIEEE International Conference on Computer Vision (ICCV), 2021
Dongyang Zhao
Ziyang Song
Zhenghao Ji
Gangming Zhao
Weifeng Ge
Yizhou Yu
267
54
0
31 Jul 2021
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
Deep Matching Prior: Test-Time Optimization for Dense CorrespondenceIEEE International Conference on Computer Vision (ICCV), 2021
Sunghwan Hong
Seungryong Kim
301
33
0
06 Jun 2021
CATs: Cost Aggregation Transformers for Visual Correspondence
CATs: Cost Aggregation Transformers for Visual CorrespondenceNeural Information Processing Systems (NeurIPS), 2021
Seokju Cho
Sunghwan Hong
Sangryul Jeon
Yunsung Lee
Kwanghoon Sohn
Seungryong Kim
ViT
336
115
0
04 Jun 2021
DiscoBox: Weakly Supervised Instance Segmentation and Semantic
  Correspondence from Box Supervision
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box SupervisionIEEE International Conference on Computer Vision (ICCV), 2021
Shiyi Lan
Zhiding Yu
Chris Choy
Subhashree Radhakrishnan
Guilin Liu
Yuke Zhu
Larry S. Davis
Anima Anandkumar
WSODISeg
482
92
0
13 May 2021
Warp Consistency for Unsupervised Learning of Dense Correspondences
Warp Consistency for Unsupervised Learning of Dense CorrespondencesIEEE International Conference on Computer Vision (ICCV), 2021
Prune Truong
Martin Danelljan
Feng Yu
Luc Van Gool
287
56
0
07 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation
Hypercorrelation Squeeze for Few-Shot SegmentationIEEE International Conference on Computer Vision (ICCV), 2021
Juhong Min
Dahyun Kang
Minsu Cho
374
382
0
04 Apr 2021
Convolutional Hough Matching Networks
Convolutional Hough Matching NetworksComputer Vision and Pattern Recognition (CVPR), 2021
Juhong Min
Minsu Cho
240
74
0
31 Mar 2021
Learning Accurate Dense Correspondences and When to Trust Them
Learning Accurate Dense Correspondences and When to Trust ThemComputer Vision and Pattern Recognition (CVPR), 2021
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
3DH3DPC
414
153
0
05 Jan 2021
$\mathbb{X}$Resolution Correspondence Networks
X\mathbb{X}XResolution Correspondence NetworksBritish Machine Vision Conference (BMVC), 2020
Georgi Tinchev
Shuda Li
Kai Han
David Mitchell
R. Kouskouridas
3DV
287
6
0
17 Dec 2020
GOCor: Bringing Globally Optimized Correspondence Volumes into Your
  Neural Network
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural NetworkNeural Information Processing Systems (NeurIPS), 2020
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
389
83
0
16 Sep 2020
Confidence-aware Adversarial Learning for Self-supervised Semantic
  Matching
Confidence-aware Adversarial Learning for Self-supervised Semantic MatchingChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2020
Shuaiyi Huang
Qiuyue Wang
Xuming He
157
3
0
25 Aug 2020
Learning to Compose Hypercolumns for Visual Correspondence
Learning to Compose Hypercolumns for Visual Correspondence
Juhong Min
Jongmin Lee
Jean Ponce
Minsu Cho
OCL
202
84
0
21 Jul 2020
Dual-Resolution Correspondence Networks
Dual-Resolution Correspondence Networks
Xinghui Li
Kai Han
Shuda Li
V. Prisacariu
3DV
360
189
0
16 Jun 2020
Correspondence Networks with Adaptive Neighbourhood Consensus
Correspondence Networks with Adaptive Neighbourhood ConsensusComputer Vision and Pattern Recognition (CVPR), 2020
Shuda Li
Kai Han
Theo W. Costain
Henry Howard-Jenkins
V. Prisacariu
3DV
137
95
0
26 Mar 2020
GLU-Net: Global-Local Universal Network for Dense Flow and
  Correspondences
GLU-Net: Global-Local Universal Network for Dense Flow and CorrespondencesComputer Vision and Pattern Recognition (CVPR), 2019
Prune Truong
Martin Danelljan
Radu Timofte
3DPC
376
224
0
11 Dec 2019
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