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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 15, 2017
Feature Augmentation for Learning Confidence Measure in Stereo MatchingSunok Kim, Dongbo Min, Seungryong Kim, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 30, 2018
Unified Confidence Estimation Networks for Robust Stereo MatchingSunok Kim, Dongbo Min, Seungryong Kim, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 16, 2022
Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge DistillationSunok Kim, Seungryong Kim, Dongbo Min, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 2, 2021
On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative EvaluationMatteo Poggi, Seungryong Kim, Fabio Tosi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 16, 2020
Dense Cross-Modal Correspondence Estimation With the Deep Self-Correlation DescriptorSeungryong Kim, Dongbo Min, Stephen Lin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 30, 2018
Discrete-Continuous Transformation Matching for Dense Semantic CorrespondenceSeungryong Kim, Dongbo Min, Stephen Lin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 29, 2021
Pyramidal Semantic Correspondence NetworksSangryul Jeon, Seungryong Kim, Dongbo Min, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 24, 2017
Modality-Invariant Image Classification Based on Modality Uniqueness and Dictionary LearningSeungryong Kim, Rui Cai, Kihong Park, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
FCSS: Fully Convolutional Self-Similarity for Dense Semantic CorrespondenceSeungryong Kim, Dongbo Min, Bumsub Ham, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 11, 2016
DASC: Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence EstimationSeungryong Kim, Dongbo Min, Bumsub Ham, et al.
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