Seungryong Kim, Assistant Professor, Ph.D. (김승룡)
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Assistant Professor, Ph.D.
404C, Science Library, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul, Korea |
About Me
I am an Assistant Professor at Dept. of Computer Science and Engineering, Korea University, Korea.
Before joining Korea University, I was a postdoctoral researcher in School of Computer and Communication Science at École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, and a postdoctoral researcher in School of Electrical and Electronic Engineering at Yonsei University, Seoul, Korea. I was a research intern in Internet Graphics Group, Microsoft Research Asia, Beijing, China. I received the B.S. and Ph.D. degrees in School of Electrical and Electronic Engineering at Yonsei University, Seoul, Korea, in 2012 and 2018, respectively.
My research interests include Computer Vision, Computational Photography, Machine Learning, and Deep Learning, particularly representation learning, visual scene reconstruction and understanding.
News
07/2021, Our three papers were accepted to ICCV 2021.
03/2021, Our paper on stereo confidence evaluation was accepted to IEEE TPAMI.
03/2021, Our two papers were accepted to CVPR 2021.
01/2021, I received an award certification by Korean Ministry of Education..
12/2020, Our paper on domain adaptive semantic segmentation was accepted to AAAI 2021.
06/2020, I'm serving as an Area Chair for 3DV 2020.
07/2020, Our two papers were accepted to ECCV 2020.
06/2020, I'm invited as a speaker at AI Governance Forum 2020.
05/2020, Our paper on single image deraining was accepted to IEEE TIP.
05/2020, Our paper on multi-modal face expression estimation was accepted to IEEE TIP.
05/2020, Our paper on stereo confidence estimation was accepted to IEEE TITS.
03/2020, I joined the Department of Computer Science and Engineering, Korea University as an assistant professor.
02/2020, Our two papers were accepted to CVPR 2020.
02/2020, Our paper on stereo confidence estimation was accepted to IEEE TITS.
11/2019, Our paper on cross-modal correspondence was accepted to IEEE TPAMI.
08/2019, We are releasing Context-Aware Emotion Recognition (CAER) dataset, posted at TechXplore.
07/2019, Our two papers were accepted to ICCV 2019.
05/2019, Our paper on cross-spectral correspondence was accepted to IEEE TIP.
05/2019, Our paper on unsupervised stereo matching was accepted to IEEE TITS.
05/2019, Our two papers were accepted to ICIP 2019.
03/2019, I have joined the École Polytechnique Fédérale de Lausanne (EPFL), working with Prof. Sabine Süsstrunk, Dr. Mathieu Salzmann, and Prof. Pascal Fua.
03/2019, Our two papers were accepted to CVPR 2019.
12/2018, Our paper on high-precision depth estimation was accepted to IEEE TITS.
10/2018, Our paper on stereo confidence estimation was accepted to IEEE TIP.
10/2018, I'm serving as a Publication Chair of ACM Multimedia Workshop- The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild (CoVieW'18).
09/2018, Our paper on dense semantic correspondence was accepted to IEEE TPAMI.
09/2018, Our paper on dense semantic correspondence was accepted to NeurIPS 2018.
07/2018, Our paper on dense semantic correspondence was accepted to ECCV 2018.
04/2018, I won the 33th Chun-Gang Outstanding Research Award.
01/2018, Our paper on dense semantic correspondence was accepted to IEEE TPAMI.
I am looking for talented and motivated graduate students, postdocs, and undergraduate interns with interest in Computer Vision, Machine Learning, and Deep Learning (info).
If you're interested, please contact me through email (seungryong_kim@korea.ac.kr).
Courses
[VIDEO] Spring 2021, AAA739: Advanced Computer Vision
[VIDEO] Spring 2021, COSE111: Math for Computer Science I (Linear Algebra)
[VIDEO] Fall 2020, AAI107: Machine Learning
[VIDEO] Fall 2020, AAA602: Machine Learning Applications
[VIDEO] Fall 2020, COSE474: Deep Learning
[VIDEO] Spring 2020, AAA619: Pattern Recognition
[VIDEO] Spring 2020, COSE111: Math for Computer Science I (Linear Algebra)
[VIDEO] Spring 2020, Graduate Seminar- Modeling Spatial Transformations Using Deep CNNs
Publications - Journal
| Under Review | |
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Learning Discriminative Action Tubelets for Weakly-Supervised Action Detection Jiyoung Lee, Seungryong Kim, Sunok Kim, and Kwanghoon Sohn (Under Review) |
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Pyramidal Semantic Correspondence Networks Sangryul Jeon, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn (Under Review) |
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Non-local Feature Synthesis Network for Inpainting Sungil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn (Under Review) | 2021 |
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On the Confidence of Stereo Matching in a Deep-Learning Era: a Quantitative Evaluation Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, and Stefano Mattoccia IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), (Accepted) (Impact Factor: 17.861) | 2020 |
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Single Image Deraining Using Time-lapse Data Jaehoon Cho, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn IEEE Trans. on Image Processing (TIP), (Accepted) (Impact Factor: 9.340) |
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Multi-modal Recurrent Attention Networks for Facial Expression Recognition Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn IEEE Trans. on Image Processing (TIP), (Accepted) (Impact Factor: 9.340) |
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Learning Adversarial Confidence Measures for Robust Stereo Matching Sunok Kim, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn IEEE Trans. on Intelligent Transportation Systems (TITS), (Accepted) (Impact Factor: 6.319) |
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Dense Cross-Modal Correspondence Estimation with the Deep Self-Correlation Descriptor Seungryong Kim, Dongbo Min, Stephen Lin, and Kwanghoon Sohn IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), (Accepted) (Impact Factor: 17.861) |
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Unsupervised Stereo Matching Using Confidential Correspondence Consistency Sunghun Joung, Seungryong Kim, Kihong Park, and Kwanghoon Sohn IEEE Trans. on Intelligent Transportation Systems (TITS), (Accepted) (Impact Factor: 6.319) |
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High-precision Depth Estimation Using Uncalibrated LiDAR and Stereo Fusion Kihong Park, Seungryong Kim, and Kwanghoon Sohn IEEE Trans. on Intelligent Transportation Systems (TITS), vol. 21, no. 1, pp. 321-335, Jan. 2020. (Impact Factor: 6.319) |
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Discrete-Continuous Transformation Matching for Dense Semantic Correspondence Seungryong Kim, Dongbo Min, Stephen Lin, and Kwanghoon Sohn IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 42, no. 1, pp. 59-73, Jan. 2020 (Impact Factor: 17.861) | 2019 |
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Learning to Find Unpaired Cross-spectral Correspondences Somi Jeong, Seungryong Kim, Kihong Park, and Kwanghoon Sohn IEEE Trans. on Image Processing (TIP), vol. 28, no. 11, pp. 5394-5406, Nov. 2019. (Impact Factor: 9.340) |
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FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence Seungryong Kim, Dongbo Min, Bumsub Ham, Stephen Lin, and Kwanghoon Sohn IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 41, no. 3, pp. 581-595, Mar. 2019 (Impact Factor: 17.861) |
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Unified Confidence Estimation Networks for Robust Stereo Matching Sunok Kim, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn IEEE Trans. on Image Processing (TIP), vol. 28, no. 3, pp. 1299-1313, Mar. 2019 (Impact Factor: 9.340) | 2018 |
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Unified Multi-spectral Pedestrian Detection Based on Probabilistic Fusion Networks Kihong Park, Seungryong Kim, and Kwanghoon Sohn Pattern Recognition (PR), vol. 80, pp. 143-155, Aug. 2018 (Impact Factor: 7.196) | 2017 |
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Feature Augmentation for Learning Confidence Measure in Stereo Matching Sunok Kim, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn IEEE Trans. on Image Processing (TIP), vol. 26, no. 12, pp. 6019-6033, Dec. 2017 (Impact Factor: 9.340) |
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DASC: Robust Dense Descriptor for Multi-modal and Multi-spectral Correspondence Estimation Seungryong Kim, Dongbo Min, Bumsub Ham, Minh N. Do, and Kwanghoon Sohn IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 39, no. 9, pp. 1712-1729, Sep. 2017 (Impact Factor: 17.861) |
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Modality-Invariant Image Classification Based on Modality Uniqueness and Dictionary Learning Seungryong Kim, Rui Cai, Kihong Park, Sunok Kim, and Kwanghoon Sohn IEEE Trans. on Image Processing (TIP), vol. 26, no. 2, pp. 884-899, Feb. 2017 (Impact Factor: 9.340) |
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Local Area Transform for Cross Modal Correspondence Matching Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn Pattern Recognition (PR), vol. 63, pp. 218-228, Mar. 2017 (Impact Factor: 7.196) | 2016 |
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Fast Illumination-Robust Foreground Detection Using Hierarchical Distribution Map For Real-time Video Surveillance System Jongin Son, Seungryong Kim, and Kwanghoon Sohn Expert Systems With Applications (ESWA), vol. 66, pp. 32-41, Dec. 2016 | Before 2015 |
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A Multi-Vision Sensor-based Fast Localization System with Image Matching in Challenging Outdoor Environments Jongin Son, Seungryong Kim, and Kwanghoon Sohn Expert Systems With Applications (ESWA), vol. 42, no. 22, pp. 8830-8839, Dec. 2015 |
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Mahalanobis Distance Cross-Correlation for Illumination Invariant Stereo Matching Seungryong Kim, Bumsub Ham, Bongjoe Kim, and Kwanghoon Sohn IEEE Trans. on Circuits Syst. Video Technol. (TCSVT), vol. 24, no. 11, pp. 1844-1859, Nov. 2014 |
Publications - Conference
| 2021 | |
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Mining Better Samples for Contrastive Learning of Temporal Correspondence Sangryul Jeon, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn IEEE Conf. on Computer Vision Pattern Recognition (CVPR), Jun. 2021 |
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RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Kim, Seungryong Kim, and Jaegul Choo IEEE Conf. on Computer Vision Pattern Recognition (CVPR), Jun. 2021 (Oral Presentation) |
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Data Augmentations for Document Images Yunsung Lee, Teagyu Hong, and Seungryong Kim AAAI Workshop- The AAAI-21 Workshop on Scientific Document Understanding (AAAIW), 2021 |
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Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation Minsu Kim, Sunghun Joung, Seungryong Kim, JungIn Park, Ig-Jae Kim, and Kwanghoon Sohn AAAI Conference on Artificial Intelligence (AAAI), 2021 | 2020 |
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Volumetric Transformer Networks Seungryong Kim, Sabine Süsstrunk, and Mathieu Salzmann European Conference on Computer Vision (ECCV), Sep. 2020 |
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Guided Semantic Flow Sangryul Jeon, Dongbo Min, Seungryong Kim, Jihwan Choe, and Kwanghoon Sohn European Conference on Computer Vision (ECCV), Sep. 2020 |
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DUNIT: Detection-based Unsupervised Image-to-Image Translation Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, and Mathieu Salzmann IEEE Conf. on Computer Vision Pattern Recognition (CVPR), Jun. 2020 (22% acceptance rate) |
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Cylindrical Convolutional Networks for Joint Object Category and Viewpoint Estimation Sunghun Joung, Seungryong Kim, Hanjae Kim, Minsu Kim, Ig-Jae Kim, Junghyun Cho, and Kwanghoon Sohn IEEE Conf. on Computer Vision Pattern Recognition (CVPR), Jun. 2020 (22% acceptance rate) | 2019 |
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Context-Aware Emotion Recognition Networks Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park, and Kwanghoon Sohn IEEE International Conference on Computer Vision (ICCV), Oct. 2019 (25% acceptance rate) |
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Joint Learning of Semantic Alignment and Object Landmark Detection Sangryul Jeon, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn IEEE International Conference on Computer Vision (ICCV), Oct. 2019 (25% acceptance rate) |
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Graph Regularization Network with Semantic Affinity for Weakly-supervised Temporal Action Localization Jungin Park, Jiyoung Lee, Sangryul Jeon, Seungryong Kim, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Sep. 2019 |
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Unpaired Cross-Spectral Pedestrian Detection Via Adversarial Feature Learning Minsu Kim, Sunghun Joung, Kihong Park, Seungryong Kim, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Sep. 2019 |
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Semantic Attribute Matching Networks Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, and Kwanghoon Sohn IEEE Conf. on Computer Vision Pattern Recognition (CVPR), Jun. 2019 (25.2% acceptance rate) |
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LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation Sunok Kim, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn IEEE Conf. on Computer Vision Pattern Recognition (CVPR), Jun. 2019 (Oral Presentation) (5.58% acceptance rate) | 2018 |
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Recurrent Transformer Networks for Semantic Correspondence Seungryong Kim, Stephen Lin, Sangryul Jeon, Dongbo Min, and Kwanghoon Sohn Neural Information Processing Systems (NeurIPS), Dec. 2018 (Spotlight Presentation) (3.46% acceptance rate) |
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Audio-Visual Attention Networks for Emotion Recognition Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn ACM Multimedia Workshop- Workshop on Audio-Visual Scene Understanding for Immersive Multimedia (MMW), Oct. 2018 |
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Learning to Detect, Associate, and Recognize Human Actions and Surrounding Scenes in Untrimmed Videos Jungin Park, Sangryul Jeon, Seungryong Kim, Jiyoung Lee, Sunok Kim, and Kwanghoon Sohn ACM Multimedia Workshop- The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild (MMW), Oct. 2018 |
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CoVieW’18: The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild Kwanghoon Sohn, Ming-Hsuan Yang, Hyeran Byun, Jongwoo Lim, Jison Hsu, Stephen Lin, Euntai Kim, and Seungryong Kim ACM Multimedia (MM), Oct. 2018 |
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PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence Estimation Sangryul Jeon, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn European Conference on Computer Vision (ECCV), Sep. 2018 (31.8% acceptance rate) |
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Learning Descriptor, Confidence, and Depth Estimation in Multi-view Stereo Sungil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn IEEE CVPR Workshop- 1st International Workshop on Deep Learning for Visual SLAM (CVPRW), Jun. 2018 |
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Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018 |
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High-precision Depth Estimation with the 3D LiDAR and Stereo Fusion Kihong Park, Seungryong Kim, and Kwanghoon Sohn IEEE International Conference on Robotics and Automation (ICRA), May 2018 | 2017 |
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DCTM: Discrete-Continuous Transformation Matching for Semantic Flow Seungryong Kim, Dongbo Min, Stephen Lin, and Kwanghoon Sohn IEEE International Conference on Computer Vision (ICCV), Oct. 2017 (Oral Presentation) (2.09% acceptance rate) |
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Multi-spectral Human Co-segmentation via Joint Convolutional Neural Networks Sungil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Sep. 2017 |
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Unsupervised Stereo Matching Using Correspondence Consistency Sunghun Joung, Seungryong Kim, Bumsub Ham, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Sep. 2017 |
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Convolutional Cost Aggregation for Robust Stereo Matching Somi Jeong, Seungryong Kim, Bumsub Ham, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Sep. 2017 |
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Convolutional Feature Pyramid Fusion via Attention Network Sangryul Jeon, Seungryong Kim, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Sep. 2017 |
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Pedestrian Proposal Generation Using Depth Aware Scale Estimation Kihong Park, Seungryong Kim, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Sep. 2017 |
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Deep Stereo Confidence Prediction for Depth Estimation Sunok Kim, Dongbo Min, Bumsub Ham, Seungryong Kim, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Sep. 2017 |
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FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, and Kwanghoon Sohn IEEE Conf. on Computer Vision Pattern Recognition (CVPR), Jul. 2017 (29% acceptance rate) | 2016 |
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Homography Flow for Dense Correspondences Kihong Park, Seungryong Kim, and Kwanghoon Sohn Asia-Pacific Signal and Information Processing Association Conference (APSIPA), Dec. 2016 |
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Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields Seungryong Kim, Kihong Park, Kwanghoon Sohn, and Stephen Lin European Conference on Computer Vision (ECCV), Oct. 2016 (Spotlight Presentation) (4.7% acceptance rate) |
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Deep Self-Correlation Descriptor for Dense Cross-Modal Correspondence Seungryong Kim, Dongbo Min, Stephen Lin, and Kwanghoon Sohn European Conference on Computer Vision (ECCV), Oct. 2016 (26.6% acceptance rate) |
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Multi-spectral Pedestrian Detection Based on Accumulated Object Proposal with Fully Convolution Network Hangil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn IEEE International Conference on Pattern Recognition (ICPR), Dec. 2016 |
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ANCC Flow: Adaptive Normalized Cross-Correlation with Evolving Guidance Aggregation for Dense Correspondence Estimation Seungryong Kim, Dongbo Min, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Sep. 2016 |
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Multilevel Segment Based Dense Correspondence: An Affine Transformation Approach Sungil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn Electronic Imaging (EI), Nov. 2016 | Before 2015 |
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Randomized Global Transformation Approach for Dense Correspondence Kihong Park, Seungryong Kim, Seungchul Ryu, and Kwanghoon Sohn British Machine Vision Conference (BMVC), Sep. 2015 |
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Fast Affine-invariant Image Matching Based on Global Bhattacharyya Measure with Adaptive Tree Jongin Son, Seungryong Kim, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Sep. 2015 |
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DASC: Dense Adaptive Self-Correlation Descriptor for Multi-modal and Multi-spectral Correspondence Seungryong Kim, Dongbo Min, Bumsub Ham, Seungchul Ryu, Minh N. Do, and Kwanghoon Sohn IEEE Conf. on Computer Vision Pattern Recognition (CVPR), Jun. 2015 (28.4% acceptance rate) |
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Statistical Approach for Supervised Codeword Selection Kihong Park, Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn Electronic Imaging (EI), Feb. 2015 |
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Robust Stereo Matching Based on Probabilistic Laplacian Propagation with Weighted Mutual Information Junhyung Kim, Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn Electronic Imaging (EI), Feb. 2015 |
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Robust Stereo Matching Using Probabilistic Laplacian Surface Propagation Seungryong Kim, Bumsub Ham, Seungchul Ryu, Seon joo Kim, and Kwanghoon Sohn Asian Conference on Computer Vision (ACCV), Nov. 2014 (27.9% acceptance rate) |
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Local Self-Similarity Frequency Descriptor for Multispectral Feature Matching Seungryong Kim, Seungchul Ryu, Bumsub Ham, Junhyung Kim, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Oct. 2014 |
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Synthesis Quality Prediction Model Based on Distortion Intolerance Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Oct. 2014 |
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ABFT: Anisotropic Binary Feature Transform Based on Structure Tensor Space Seungryong Kim, Hunjae Yoo, Seungchul Ryu, Bumsub Ham, and Kwanghoon Sohn IEEE International Conference on Image Processing (ICIP), Oct. 2013 (Top 10% of accepted paper) |
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Robust Corner Detector Based on Corner Candidate Region Seungryong Kim, Hunjae Yoo, and Kwanghoon Sohn IEEE Conference on Industrial Electronics and Application (ICIEA), Jun. 2015 |
Domestic Journal/Conference
Journal: 1 papers, Conference: 7 papers (in Korean)
Patent
STEREO CAMERA, USA patent, 14/585,421, Filed on Dec. 2014
STEREO CAMERA, EPO patent, 14200525.5, Filed on Dec. 2014
MATCHING DEVICE AND METHOD BETWEEN MULTI SPECTRAL IMAGES,
Korea patent, 10-2014-0187297, Filed on Dec. 2014
METHOD AND DEVICE FOR MATCHING CORRESPONDENCE POINT OF MULTI SPECTRAL IMAGES,
Korea patent, 10-2014-0178239, Filed on Dec. 2014
STEREO CAMERA, Korea patent, 10-2013-0167035, Filed on Dec. 2013
Education
Ph.D. in School of Electrical and Electronics Engineering, Yonsei University, Seoul, Korea (Mar. 2012 ~ Feb. 2018)
Dissertation- Beyond Visual Similarities: Exploring Robust Feature Representation and Regularization for Dense Correspondence
Supervised by Prof. Kwanghoon Sohn
B.S. in School of Electrical and Electronics Engineering, Yonsei University, Seoul, Korea (Mar. 2008 ~ Feb. 2012)
Graduated Cum Laude
Experience
Assistant Professor in Korea University, Seoul, Korea (Mar. 2020 ~ Present)
Postdoctoral Researcher in École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland (Mar. 2019 ~ Feb. 2020)
Working with Prof. Sabine Süsstrunk, Dr. Mathieu Salzmann, and Prof. Pascal Fua
Postdoctoral Researcher in Yonsei University, Seoul, Korea (Mar. 2018 ~ Feb. 2019)
Working with Prof. Kwanghoon Sohn
Research Intern in Microsoft Research Asia, Beijing, China (Sep 2015 ~ Feb 2016)
Working with Dr. Stephen Lin
Awards and Honors
Honorable Mention Award, Outstanding Research Award, Yonsei University, 2018
Chun-Gang Outstanding Research Award, Chun-Gang Memorial Foundation, 2018
Doctoral Consortium Award, IEEE ICCV, 2017
Honorable Mention Award, Outstanding Research Award, Yonsei University, 2017
Microsoft Research Asia Fellowship Nomination Award, 2016
Runner-up Award, Hackatone Competition, HYUNDAI Motor Group, 2016
Bronze Award, IEEE Student Paper Contest, IEEE Seoul Section, 2012
Volunteer Award, IEEE Broadcast Technology Society, 2012
Honor Graduation Award, Yonsei University, 2012
Best Award, COEX 2011 Capstone Design Symposium, 2011
Best Award, Capstone Design Symposium, Korea University, 2011
Best Award, Creative Research Competition, Yonsei University, 2011
Invited Talks
Ewha Womans University, 2020
Korean Conference on Computer Vision (KCCV), 2020
Yonsei University, 2019
DGIST, 2019
NAVER, 2019
Korean Conference on Computer Vision (KCCV), 2019
Korea Fixed Income Research Institute (KFIRI), 2019
HYUNDAI Motor Group, 2018
The Institute of Electronics and Information Engineers (IEIE) Image and Signal Processing Summer School, 2018
The Institute of Electronics and Information Engineers (IEIE) Summer Conference, 2018
Fast Campus, 2018
Ewha Womans University, 2018
Korean Conference on Computer Vision (KCCV), 2018
Korean Conference on Computer Vision (KCCV), 2017
Media Coverages
A deep learning technique for context-aware emotion recognition, TechXplore, 2019
The image-matching algorithm that throws the rest out of the window, Yonsei University Research Blog, 2017
Matching points between objects of different shapes and styles, Microsoft Research Blog, 2017
Collaboration between MSRA and Yonsei University generates computer vision breakthrough, Microsoft Research Blog, 2017