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Sangryul Jeon
Sangryul Jeon
Verified email at pusan.ac.kr
Title
Cited by
Cited by
Year
Fcss: Fully convolutional self-similarity for dense semantic correspondence
S Kim, D Min, B Ham, S Jeon, S Lin, K Sohn
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1682017
Recurrent transformer networks for semantic correspondence
S Kim, S Lin, SR Jeon, D Min, K Sohn
Advances in neural information processing systems 31, 2018
1082018
Cats: Cost aggregation transformers for visual correspondence
S Cho, S Hong, S Jeon, Y Lee, K Sohn, S Kim
Advances in Neural Information Processing Systems 34, 9011-9023, 2021
702021
Parn: Pyramidal affine regression networks for dense semantic correspondence
S Jeon, S Kim, D Min, K Sohn
Proceedings of the European Conference on Computer Vision (ECCV), 351-366, 2018
632018
Semantic attribute matching networks
S Kim, D Min, S Jeong, S Kim, S Jeon, K Sohn
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
392019
Guided semantic flow
S Jeon, D Min, S Kim, J Choe, K Sohn
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
282020
Mining better samples for contrastive learning of temporal correspondence
S Jeon, D Min, S Kim, K Sohn
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
272021
Joint learning of semantic alignment and object landmark detection
S Jeon, D Min, S Kim, K Sohn
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
212019
Semantic correspondence with transformers
S Cho, S Hong, S Jeon, Y Lee, K Sohn, S Kim
arXiv preprint arXiv:2106.02520 1 (2), 6, 2021
122021
Video summarization by learning relationships between action and scene
J Park, J Lee, S Jeon, K Sohn
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
102019
Neural matching fields: Implicit representation of matching fields for visual correspondence
S Hong, J Nam, S Cho, S Hong, S Jeon, D Min, S Kim
Advances in Neural Information Processing Systems 35, 13512-13526, 2022
52022
Graph regularization network with semantic affinity for weakly-supervised temporal action localization
J Park, J Lee, S Jeon, S Kim, K Sohn
2019 IEEE International conference on image processing (ICIP), 3701-3705, 2019
52019
Unsupervised scene sketch to photo synthesis
J Wang, S Jeon, SX Yu, X Zhang, H Arora, Y Lou
European Conference on Computer Vision, 273-289, 2022
42022
Pyramidal semantic correspondence networks
S Jeon, S Kim, D Min, K Sohn
IEEE transactions on pattern analysis and machine intelligence 44 (12), 9102 …, 2021
42021
Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning
H Choi, H Lee, W Song, S Jeon, K Sohn, D Min
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
22023
Self-Supervised Structured Representations for Deep Reinforcement Learning
H Choi, H Lee, W Song, S Jeon, K Sohn, D Min
22021
Learning to detect, associate, and recognize human actions and surrounding scenes in untrimmed videos
J Park, S Jeon, S Kim, J Lee, S Kim, K Sohn
Proceedings of the 1st Workshop and Challenge on Comprehensive Video …, 2018
22018
Convolutional feature pyramid fusion via attention network
S Jeon, S Kim, K Sohn
2017 IEEE International Conference on Image Processing (ICIP), 1007-1011, 2017
22017
Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models
F Pan, S Jeon, B Wang, F Mckenna, SX Yu
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
12024
Learning disentangled skills for hierarchical reinforcement learning through trajectory autoencoder with weak labels
W Song, S Jeon, H Choi, K Sohn, D Min
Expert Systems with Applications 230, 120625, 2023
12023
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