Publication
International Conference
International Conference
In Computer Vision and Machine Learning fields, as opposed to many other disciplines, papers published in top conferences (CVPR, ICCV, ECCV, NeurIPS, and AAAI) are regarded as more important and influential than most SCI journals in general. For example, CVPR is the 5th rank among all academic fields according to google scholar metrics. Oral or spotlight presentations have an highly competitive acceptance rates, about < 5%.
In Computer Vision and Machine Learning fields, as opposed to many other disciplines, papers published in top conferences (CVPR, ICCV, ECCV, NeurIPS, and AAAI) are regarded as more important and influential than most SCI journals in general. For example, CVPR is the 5th rank among all academic fields according to google scholar metrics. Oral or spotlight presentations have an highly competitive acceptance rates, about < 5%.
2021
2021
Sangryul Jeon, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn “Mining Better Samples for Contrastive Learning of Temporal Correspondence,” IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2021. (27% acceptance rate)
Sangryul Jeon, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn “Mining Better Samples for Contrastive Learning of Temporal Correspondence,” IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2021. (27% acceptance rate)
Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Kim, Seungryong Kim, and Jaegul Choo, “RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening,” IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2021. (Oral Presentation)
Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Kim, Seungryong Kim, and Jaegul Choo, “RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening,” IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2021. (Oral Presentation)
Yunsung Lee, Teakgyu Hong, and Seungryong Kim, “Data Augmentations for Document Images,” AAAI Workshop- The AAAI-21 Workshop on Scientific Document Understanding (AAAIW), 2021.
Yunsung Lee, Teakgyu Hong, and Seungryong Kim, “Data Augmentations for Document Images,” AAAI Workshop- The AAAI-21 Workshop on Scientific Document Understanding (AAAIW), 2021.
Minsu Kim, Sunghun Joung, Seungryong Kim, JungIn Park, Ig-Jae Kim, and Kwanghoon Sohn, “Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation,” AAAI Conference on Artificial Intelligence (AAAI), 2021. (21.4% acceptance rate)
Minsu Kim, Sunghun Joung, Seungryong Kim, JungIn Park, Ig-Jae Kim, and Kwanghoon Sohn, “Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation,” AAAI Conference on Artificial Intelligence (AAAI), 2021. (21.4% acceptance rate)
2020
2020
Seungryong Kim, Sabine Süsstrunk, and Mathieu Salzmann, “Volumetric Transformer Networks,” European Conference on Computer Vision (ECCV), Sep. 2020. (27% acceptance rate) [pdf]
Seungryong Kim, Sabine Süsstrunk, and Mathieu Salzmann, “Volumetric Transformer Networks,” European Conference on Computer Vision (ECCV), Sep. 2020. (27% acceptance rate) [pdf]
Sangryul Jeon, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn, “Guided Semantic Flow,” European Conference on Computer Vision (ECCV), Sep. 2020. (27% acceptance rate) [pdf]
Sangryul Jeon, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn, “Guided Semantic Flow,” European Conference on Computer Vision (ECCV), Sep. 2020. (27% acceptance rate) [pdf]
Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, and Mathieu Salzmann, “DUNIT: Detection-based Unsupervised Image-to-Image Translation,” IEEE Conf. Computer Vision Pattern Recognition (CVPR), Jun. 2020. (22% acceptance rate) [pdf]
Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, and Mathieu Salzmann, “DUNIT: Detection-based Unsupervised Image-to-Image Translation,” IEEE Conf. Computer Vision Pattern Recognition (CVPR), Jun. 2020. (22% acceptance rate) [pdf]
2019
2019
Sangryul Jeon, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn, “Joint Learning of Semantic Alignment and Object Landmark Detection,” IEEE International Conference on Computer Vision (ICCV), Oct. 2019. (25% acceptance rate) [pdf]
Sangryul Jeon, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn, “Joint Learning of Semantic Alignment and Object Landmark Detection,” IEEE International Conference on Computer Vision (ICCV), Oct. 2019. (25% acceptance rate) [pdf]
Jungin Park, Jiyoung Lee, Sangryul Jeon, Seungryong Kim, and Kwanghoon Sohn, “Graph Regularization Network with Semantic Affinity for Weakly-supervised Temporal Action Localization,” IEEE International Conference on Image Processing (ICIP), Sep. 2019. [pdf]
Jungin Park, Jiyoung Lee, Sangryul Jeon, Seungryong Kim, and Kwanghoon Sohn, “Graph Regularization Network with Semantic Affinity for Weakly-supervised Temporal Action Localization,” IEEE International Conference on Image Processing (ICIP), Sep. 2019. [pdf]
Minsu Kim, Sunghun Joung, Kihong Park, Seungryong Kim, and Kwanghoon Sohn, “Unpaired Cross-Spectral Pedestrian Detection via Adversarial Feature Learning,” IEEE International Conference on Image Processing (ICIP), Sep. 2019. [pdf]
Minsu Kim, Sunghun Joung, Kihong Park, Seungryong Kim, and Kwanghoon Sohn, “Unpaired Cross-Spectral Pedestrian Detection via Adversarial Feature Learning,” IEEE International Conference on Image Processing (ICIP), Sep. 2019. [pdf]
Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, and Kwanghoon Sohn, “Semantic Attribute Matching Networks,” IEEE Conf. Computer Vision Pattern Recognition (CVPR), Jun. 2019. (25.2% acceptance rate) [pdf]
Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, and Kwanghoon Sohn, “Semantic Attribute Matching Networks,” IEEE Conf. Computer Vision Pattern Recognition (CVPR), Jun. 2019. (25.2% acceptance rate) [pdf]
2018
2018
Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn, “Audio-Visual Attention Networks for Emotion Recognition,” ACM Multimedia Workshop- Workshop on Audio-Visual Scene Understanding for Immersive Multimedia (MMW), Oct. 2018. [pdf]
Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn, “Audio-Visual Attention Networks for Emotion Recognition,” ACM Multimedia Workshop- Workshop on Audio-Visual Scene Understanding for Immersive Multimedia (MMW), Oct. 2018. [pdf]
Jungin Park, Sangryul Jeon, Seungryong Kim, Jiyoung Lee, Sunok Kim, and Kwanghoon Sohn, “Learning to Detect, Associate, and Recognize Human Actions and Surrounding Scenes in Untrimmed Videos,” ACM Multimedia Workshop- The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild (MMW), Oct. 2018. [pdf]
Jungin Park, Sangryul Jeon, Seungryong Kim, Jiyoung Lee, Sunok Kim, and Kwanghoon Sohn, “Learning to Detect, Associate, and Recognize Human Actions and Surrounding Scenes in Untrimmed Videos,” ACM Multimedia Workshop- The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild (MMW), Oct. 2018. [pdf]
Kwanghoon Sohn, Ming-Hsuan Yang, Hyeran Byun, Jongwoo Lim, Jison Hsu, Stephen Lin, Euntai Kim, and Seungryong Kim, “CoVieW’18: The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild,” ACM Multimedia (MM), Oct. 2018. [pdf]
Kwanghoon Sohn, Ming-Hsuan Yang, Hyeran Byun, Jongwoo Lim, Jison Hsu, Stephen Lin, Euntai Kim, and Seungryong Kim, “CoVieW’18: The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild,” ACM Multimedia (MM), Oct. 2018. [pdf]
Sangryul Jeon, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn, “PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence,” European Conference on Computer Vision (ECCV), Sep. 2018. (31.8% acceptance rate) [pdf]
Sangryul Jeon, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn, “PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence,” European Conference on Computer Vision (ECCV), Sep. 2018. (31.8% acceptance rate) [pdf]
Sungil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn, “Learning Descriptor, Confidence, and Depth Estimation in Multi-view Stereo,” IEEE CVPR Workshop- 1st International Workshop on Deep Learning for Visual SLAM (CVPRW), Jun. 2018. [pdf]
Sungil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn, “Learning Descriptor, Confidence, and Depth Estimation in Multi-view Stereo,” IEEE CVPR Workshop- 1st International Workshop on Deep Learning for Visual SLAM (CVPRW), Jun. 2018. [pdf]
Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn, “Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018. [pdf]
Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn, “Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018. [pdf]
Kihong Park, Seungryong Kim, and Kwanghoon Sohn, “High-precision Depth Estimation with the 3D LiDAR and Stereo Fusion,” IEEE International Conference on Robotics and Automation (ICRA), May 2018. [pdf]
Kihong Park, Seungryong Kim, and Kwanghoon Sohn, “High-precision Depth Estimation with the 3D LiDAR and Stereo Fusion,” IEEE International Conference on Robotics and Automation (ICRA), May 2018. [pdf]
2017
2017
Kihong Park, Seungryong Kim, and Kwanghoon Sohn, “Pedestrian Proposal Generation Using Depth-Aware Scale Estimation,” IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
Kihong Park, Seungryong Kim, and Kwanghoon Sohn, “Pedestrian Proposal Generation Using Depth-Aware Scale Estimation,” IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
Sangryul Jeon, Seungryong Kim, and Kwanghoon Sohn, “Convolutional Feature Pyramid Fusion via Attention Network,” IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
Sangryul Jeon, Seungryong Kim, and Kwanghoon Sohn, “Convolutional Feature Pyramid Fusion via Attention Network,” IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
Somi Jeong, Seungryong Kim, Bumsub Ham, and Kwanghoon Sohn, “Convolutional Cost Aggregation for Robust Stereo Matching,” IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
Somi Jeong, Seungryong Kim, Bumsub Ham, and Kwanghoon Sohn, “Convolutional Cost Aggregation for Robust Stereo Matching,” IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
Sunghun Joung, Seungryong Kim, Bumsub Ham, and Kwanghoon Sohn, “Unsupervised Stereo Matching Using Correspondence Consistency,” IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
Sunghun Joung, Seungryong Kim, Bumsub Ham, and Kwanghoon Sohn, “Unsupervised Stereo Matching Using Correspondence Consistency,” IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
Sungil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn, “Multi-Spectral Human Co-Segmentation via Joint Convolutional Neural Networks,” IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
Sungil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn, “Multi-Spectral Human Co-Segmentation via Joint Convolutional Neural Networks,” IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
Sunok Kim, Dongbo Min, Bumsub Ham, Seungryong Kim, and Kwanghoon Sohn, “Deep Stereo Confidence Prediction for Depth Estimation,” IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
Sunok Kim, Dongbo Min, Bumsub Ham, Seungryong Kim, and Kwanghoon Sohn, “Deep Stereo Confidence Prediction for Depth Estimation,” IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
Before 2016
Before 2016
Kihong Park, Seungryong Kim, and Kwanghoon Sohn, “Homography Flow for Dense Correspondences,” Asia-Pacific Signal and Information Processing Association Conference (APSIPA), Dec. 2016. [pdf]
Kihong Park, Seungryong Kim, and Kwanghoon Sohn, “Homography Flow for Dense Correspondences,” Asia-Pacific Signal and Information Processing Association Conference (APSIPA), Dec. 2016. [pdf]
Seungryong Kim, Kihong Park, Kwanghoon Sohn, and Stephen Lin, “Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields,” European Conference on Computer Vision (ECCV), Oct. 2016. (Spotlight Presentation) (4.7% acceptance rate) [pdf] [project]
Seungryong Kim, Kihong Park, Kwanghoon Sohn, and Stephen Lin, “Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields,” European Conference on Computer Vision (ECCV), Oct. 2016. (Spotlight Presentation) (4.7% acceptance rate) [pdf] [project]
Hangil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn, “Multi-spectral Pedestrian Detection Based on Accumulated Object Proposal with Fully Convolution Network,” IEEE International Conference on Pattern Recognition (ICPR), Dec. 2016. [pdf]
Hangil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn, “Multi-spectral Pedestrian Detection Based on Accumulated Object Proposal with Fully Convolution Network,” IEEE International Conference on Pattern Recognition (ICPR), Dec. 2016. [pdf]
Seungryong Kim, Dongbo Min, and Kwanghoon Sohn, “ANCC Flow: Adaptive Normalized Cross-Correlation with Evolving Guidance Aggregation for Dense Correspondence Estimation,” IEEE International Conference on Image Processing (ICIP), Sep. 2016. [pdf]
Seungryong Kim, Dongbo Min, and Kwanghoon Sohn, “ANCC Flow: Adaptive Normalized Cross-Correlation with Evolving Guidance Aggregation for Dense Correspondence Estimation,” IEEE International Conference on Image Processing (ICIP), Sep. 2016. [pdf]
Sungil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn, “Multilevel Segment Based Dense Correspondence: An Affine Transformation Approach,” Electronic Imaging (EI), Feb. 2016. [pdf]
Sungil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn, “Multilevel Segment Based Dense Correspondence: An Affine Transformation Approach,” Electronic Imaging (EI), Feb. 2016. [pdf]
Kihong Park, Seungryong Kim, Seungchul Ryu, and Kwanghoon Sohn, “Randomized Global Transformation Approach for Dense Correspondence,” British Machine Vision Conference (BMVC), Sep. 2015. [pdf]
Kihong Park, Seungryong Kim, Seungchul Ryu, and Kwanghoon Sohn, “Randomized Global Transformation Approach for Dense Correspondence,” British Machine Vision Conference (BMVC), Sep. 2015. [pdf]
Jongin Son, Seungryong Kim, and Kwanghoon Sohn, “Fast Affine-invariant Image Matching Based on Global Bhattacharyya Measure with Adaptive Tree,” IEEE International Conference on Image Processing (ICIP), Sep. 2015. [pdf]
Jongin Son, Seungryong Kim, and Kwanghoon Sohn, “Fast Affine-invariant Image Matching Based on Global Bhattacharyya Measure with Adaptive Tree,” IEEE International Conference on Image Processing (ICIP), Sep. 2015. [pdf]
Kihong Park, Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn, “Statistical Approach for Supervised Codeword Selection,” Electronic Imaging (EI), Feb. 2015. [pdf]
Kihong Park, Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn, “Statistical Approach for Supervised Codeword Selection,” Electronic Imaging (EI), Feb. 2015. [pdf]
Junhyung Kim, Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn, “Robust Stereo Matching Based on Probabilistic Laplacian Propagation with Weighted Mutual Information,” Electronic Imaging (EI), Feb. 2015. [pdf]
Junhyung Kim, Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn, “Robust Stereo Matching Based on Probabilistic Laplacian Propagation with Weighted Mutual Information,” Electronic Imaging (EI), Feb. 2015. [pdf]
Seungryong Kim, Bumsub Ham, Seungchul Ryu, Seon Joo Kim, and Kwanghoon Sohn, “Robust Stereo Matching Using Probabilistic Laplacian Surface Propagation,” Asian Conference on Computer Vision (ACCV), Nov. 2014. (27.9% acceptance rate) [pdf]
Seungryong Kim, Bumsub Ham, Seungchul Ryu, Seon Joo Kim, and Kwanghoon Sohn, “Robust Stereo Matching Using Probabilistic Laplacian Surface Propagation,” Asian Conference on Computer Vision (ACCV), Nov. 2014. (27.9% acceptance rate) [pdf]
Seungryong Kim, Seungchul Ryu, Bumsub Ham, Junhyung Kim, and Kwanghoon Sohn, “Local Self-Similarity Frequency Descriptor for Multispectral Feature Matching,” IEEE International Conference on Image Processing (ICIP), Oct. 2014. [pdf]
Seungryong Kim, Seungchul Ryu, Bumsub Ham, Junhyung Kim, and Kwanghoon Sohn, “Local Self-Similarity Frequency Descriptor for Multispectral Feature Matching,” IEEE International Conference on Image Processing (ICIP), Oct. 2014. [pdf]
Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn, “Synthesis Quality Prediction Model Based on Distortion Intolerance,” IEEE International Conference on Image Processing (ICIP), Oct. 2014. [pdf]
Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn, “Synthesis Quality Prediction Model Based on Distortion Intolerance,” IEEE International Conference on Image Processing (ICIP), Oct. 2014. [pdf]
Seungryong Kim, Hunjae Yoo, Seungchul Ryu, Bumsub Ham, and Kwanghoon Sohn, “ABFT: Anisotropic Binary Feature Transform Based on Structure Tensor Space,” IEEE International Conference on Image Processing (ICIP), Oct. 2013. (Top 10% of accepted paper) [pdf]
Seungryong Kim, Hunjae Yoo, Seungchul Ryu, Bumsub Ham, and Kwanghoon Sohn, “ABFT: Anisotropic Binary Feature Transform Based on Structure Tensor Space,” IEEE International Conference on Image Processing (ICIP), Oct. 2013. (Top 10% of accepted paper) [pdf]
Seungryong Kim, Hunjae Yoo, and Kwanghoon Sohn, “Robust Corner Detector Based on Corner Candidate Region,” IEEE Conference on Industrial Electronics and Application (ICIEA), Jun. 2013. [pdf]
Seungryong Kim, Hunjae Yoo, and Kwanghoon Sohn, “Robust Corner Detector Based on Corner Candidate Region,” IEEE Conference on Industrial Electronics and Application (ICIEA), Jun. 2013. [pdf]