Under Review

Sungil Choi, Seungryong Kim, Ig-Jae Kim, Namkoo Ha, Hyunsung Jang, and Kwanghoon Sohn, "Non-local Feature Synthesis Network for Image Inpainting" (Under Review)

Jiyoung Lee, Seungryong Kim, Sunok Kim, and Kwanghoon Sohn, "Learning Discriminative Action Tubelets for Weakly-Supervised Action Detection" (Under Review)

Sangryul Jeon, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn, “Pyramidal Semantic Correspondence Networks” (Major Revision)

2021

Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, and Stefano Mattoccia, "On the Confidence of Stereo Matching in a Deep-Learning Era: a Quantitative Evaluation," IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (Impact Factor: 17.861)

2020

Jaehoon Cho, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn, “Single Image Deraining Using Time-lapse Data,” IEEE Trans. on Image Processing (TIP), 2020. (Impact Factor: 9.340) [pdf]

Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn, “Tri-modal Recurrent Attention Networks for Emotion Recognition,” IEEE Trans. on Image Processing (TIP), 2020. (Impact Factor: 9.340) [pdf]

Sunok Kim, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn, “Learning Adversarial Confidence Measures for Robust Stereo Matching,” IEEE Trans. on Intelligent Transportation Systems (TITS), 2020. (Impact Factor: 6.319) [pdf]

Seungryong Kim, Dongbo Min, Stephen Lin, and Kwanghoon Sohn, “Dense Cross-Modal Correspondence Estimation with the Deep Self-Correlation Descriptor,” IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (Impact Factor: 17.861) [pdf] [project]

Seungryong Kim, Dongbo Min, Stephen Lin, and Kwanghoon Sohn, “Discrete-Continuous Transformation Matching for Dense Semantic Correspondence,” IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 42, no. 1, pp. 59-73, Jan. 2020. (Impact Factor: 17.861) [pdf] [project]

Sunghun Joung, Seungryong Kim, Kihong Park, and Kwanghoon Sohn, “Unsupervised Stereo Matching for Confidential Correspondence Consistency,” IEEE Trans. on Intelligent Transportation Systems (TITS), vol. 21, no. 5, pp. 2190-2203, May. 2020. (Impact Factor: 6.319) [pdf]

Kihong Park, Seungryong Kim, and Kwanghoon Sohn, “High-precision Depth Estimation Using Uncalibrated LiDAR and Stereo Fusion,” IEEE Trans. on Intelligent Transportation Systems (TITS), vol. 21, no. 1, pp. 321-335, Jan. 2020. (Impact Factor: 6.319) [pdf]

2019

Somi Jeong, Seungryong Kim, Kihong Park, and Kwanghoon Sohn, “Learning to Find Unpaired Cross-spectral Correspondences,” IEEE Trans. on Image Processing (TIP), vol. 28, no. 11, pp. 5394-5406, Nov. 2019. (Impact Factor: 9.340) [pdf] [project]

Seungryong Kim, Dongbo Min, Bumsub Ham, Stephen Lin, and Kwanghoon Sohn, “FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence,” IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 41, no. 03, pp. 581-595, Mar. 2019. (Impact Factor: 17.861) [pdf] [project]

Sunok Kim, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn, “Unified Confidence Estimation Networks for Robust Stereo Matching,” IEEE Trans. on Image Processing (TIP), vol. 28, no. 3, pp. 1299-1313, Mar. 2019. (Impact Factor: 9.340) [pdf]

2018

Kihong Park, Seungryong Kim, and Kwanghoon Sohn, “Unified Multi-spectral Pedestrian Detection Based on Probabilistic Fusion Networks,” Pattern Recognition (PR), vol. 80, pp. 143-155, Aug. 2018. (Impact Factor: 7.196) [pdf]

2017

Sunok Kim, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn, “Feature Augmentation for Learning Confidence Measure in Stereo Matching,” IEEE Trans. on Image Processing (TIP), vol. 26, no. 12, pp. 6019-6033, Dec. 2017. (Impact Factor: 9.340) [pdf]

Seungryong Kim, Dongbo Min, Bumsub Ham, Minh N. Do, and Kwanghoon Sohn, “DASC: Robust Dense Descriptor for Muiti-modal and Multi-spectral Correspondence Estimation,” IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 39, no. 9, pp. 1712-1729, Sep. 2017. (Impact Factor: 17.861) [pdf] [project]

Seungryong Kim, Rui Cai, Kihong Park, Sunok Kim, and Kwanghoon Sohn, “Modality-Invariant Image Classification Based on Modality Uniqueness and Dictionary Learning,” IEEE Trans. on Image Processing (TIP), vol. 26, no. 2, pp. 884-899, Feb. 2017. (Impact Factor: 9.340) [pdf] [project]

Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn, “Local Area Transform for Cross Modal Correspondence Matching,” Pattern Recognition (PR), vol. 63, pp. 218-228, Mar. 2017. (Impact Factor: 7.196) [pdf]

Before 2016

Jongin Son, Seungryong Kim, and Kwanghoon Sohn, “Fast Illumination-Robust Foreground Detection Using Hierarchical Distribution Map for Real-time Video Surveillance System,” Expert Systems with Applications (ESWA), vol. 66, no. 30, pp. 32-41, Dec. 2016. [pdf]

Jongin Son, Seungryong Kim, Sanghoon Kim and Kwanghoon Sohn, “A Multi-Vision Sensor-based Fast Localization System with Image Matching in Challenging Outdoor Environments,” Expert Systems with Applications (ESWA), vol. 42, no. 22, pp. 8830-8839, Dec. 2015. [pdf]

Seungryong Kim, Bumsub Ham, Bongjoe Kim, and Kwanghoon Sohn, “Mahalanobis Distance Cross-Correlation for Illumination Invariant Stereo Matching,” IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), vol. 24, no. 12, pp. 3839-3860, Dec. 2014. [pdf]