Publications
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 4th rank among all academic fields according to google scholar metrics. Oral or spotlight presentations have highly competitive acceptance rates, about < 5%.
Publications
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 4th rank among all academic fields according to google scholar metrics. Oral or spotlight presentations have highly competitive acceptance rates, about < 5%.
Under Review (or Pre-print)
Under Review (or Pre-print)
LatentSwap: An Efficient Latent Code Mapping Framework for Face Swapping [pdf]
Changho Choi, Minho Kim, Junhyeok Lee, Hyoung-Kyu Song, Younggeun Kim, Seungryong Kim
LatentSwap: An Efficient Latent Code Mapping Framework for Face Swapping [pdf]
Changho Choi, Minho Kim, Junhyeok Lee, Hyoung-Kyu Song, Younggeun Kim, Seungryong Kim
User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques [pdf]
Sunwoo Kim, Wooseok Jang, Hyunsu Kim, Junho Kim, Yunjey Choi, Seungryong Kim, and Gayeong Lee
User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques [pdf]
Sunwoo Kim, Wooseok Jang, Hyunsu Kim, Junho Kim, Yunjey Choi, Seungryong Kim, and Gayeong Lee
Panoramic Image-to-Image Translation [pdf]
Soohyun Kim, Junho Kim, Taekyung Kim, Hwan Heo, Seungryong Kim*, Jiyoung Lee*, Jin-Hwa Kim* (* co-corresponding)
Panoramic Image-to-Image Translation [pdf]
Soohyun Kim, Junho Kim, Taekyung Kim, Hwan Heo, Seungryong Kim*, Jiyoung Lee*, Jin-Hwa Kim* (* co-corresponding)
AE-NeRF: Auto-Encoding Neural Radiance Fields for 3D-Aware Object Manipulation [pdf]
Mira Kim*, Jaehoon Ko*, Kyusun Cho, Junmyeong Choi, Daewon Choi, and Seungryong Kim (* equally contributed)
AE-NeRF: Auto-Encoding Neural Radiance Fields for 3D-Aware Object Manipulation [pdf]
Mira Kim*, Jaehoon Ko*, Kyusun Cho, Junmyeong Choi, Daewon Choi, and Seungryong Kim (* equally contributed)
Cylindrical Convolutional Networks for Accurate Joint Object Detection and Viewpoint Estimation
Sunghun Joung, Seungryong Kim, and Kwanghoon Sohn
Cylindrical Convolutional Networks for Accurate Joint Object Detection and Viewpoint Estimation
Sunghun Joung, Seungryong Kim, and Kwanghoon Sohn
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning [pdf]
Jiwon Kim*, Kwangrok Ryoo*, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, and Seungryong Kim (* equally contributed)
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning [pdf]
Jiwon Kim*, Kwangrok Ryoo*, Gyuseong Lee, Seokju Cho, Junyoung Seo, Daehwan Kim, Hansang Cho, and Seungryong Kim (* equally contributed)
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation [pdf]
Hojoon Lee, Dongyoon Hwang, Sunghwan Hong, Changyeon Kim, Seungryong Kim, and Jaegul Choo
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation [pdf]
Hojoon Lee, Dongyoon Hwang, Sunghwan Hong, Changyeon Kim, Seungryong Kim, and Jaegul Choo
2024
2024
[C96] Match me if you can: Semantic Correspondence Learning with Unpaired Images
Jiwon Kim, Byeongho Heo, Sangdoo Yun, Seungryong Kim, Dongyoon Han
Asian Conference on Computer Vision (ACCV), 2024. [pdf]
[C96] Match me if you can: Semantic Correspondence Learning with Unpaired Images
Jiwon Kim, Byeongho Heo, Sangdoo Yun, Seungryong Kim, Dongyoon Han
Asian Conference on Computer Vision (ACCV), 2024. [pdf]
[C94] Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance
Donghoon Ahn*, Hyoungwon Cho*, Jaewon Min, Wooseok Jang, Jungwoo Kim, SeonHwa Kim, Hyun Hee Park, Kyong Hwan Jin†, Seungryong Kim† (* equally contributed, † co-corresponding)
European Conference on Computer Vision (ECCV), 2024. [pdf] [project]
[C94] Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance
Donghoon Ahn*, Hyoungwon Cho*, Jaewon Min, Wooseok Jang, Jungwoo Kim, SeonHwa Kim, Hyun Hee Park, Kyong Hwan Jin†, Seungryong Kim† (* equally contributed, † co-corresponding)
European Conference on Computer Vision (ECCV), 2024. [pdf] [project]
[C91] MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth Estimation
Jongbeom Baek*, Gyeongnyeon Kim*, Seonghoon Park*, Honggyu An, Matteo Poggi, and Seungryong Kim (* equally contributed)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024. [pdf] [project]
[C91] MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth Estimation
Jongbeom Baek*, Gyeongnyeon Kim*, Seonghoon Park*, Honggyu An, Matteo Poggi, and Seungryong Kim (* equally contributed)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024. [pdf] [project]
[J31] Discriminative Action Tubelet Detector for Weakly-supervised Action Detection
Jiyoung Lee, Seungryong Kim, Sunok Kim, Kwanghoon Sohn
Pattern Recognition (PR), 2024. (Impact Factor: 8.0)
[J31] Discriminative Action Tubelet Detector for Weakly-supervised Action Detection
Jiyoung Lee, Seungryong Kim, Sunok Kim, Kwanghoon Sohn
Pattern Recognition (PR), 2024. (Impact Factor: 8.0)
[J30] Depth-Aware Guidance with Self-Estimated Depth Representations of Diffusion Models
Gyeongnyeon Kim*, Wooseok Jang*, Gyuseong Lee*, Susung Hong, Junyoung Seo, and Seungryong Kim (* equally contributed)
Pattern Recognition (PR), 2024. (Impact Factor: 8.0)
[J30] Depth-Aware Guidance with Self-Estimated Depth Representations of Diffusion Models
Gyeongnyeon Kim*, Wooseok Jang*, Gyuseong Lee*, Susung Hong, Junyoung Seo, and Seungryong Kim (* equally contributed)
Pattern Recognition (PR), 2024. (Impact Factor: 8.0)
[C84] FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking
Seokju Cho, Jiahui Huang, Seungryong Kim, Joon-Young Lee
IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2024.
[C84] FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking
Seokju Cho, Jiahui Huang, Seungryong Kim, Joon-Young Lee
IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2024.
[C83] HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
Gyudong Kim, Mehdi Ghasemi, Soroush Heidari, Seungryong Kim, Young Geun Kim, Sarma Vrudhula, Carole-Jean Wu
Annual Conference on Machine Learning and Systems (MLSys), 2024.
[C83] HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
Gyudong Kim, Mehdi Ghasemi, Soroush Heidari, Seungryong Kim, Young Geun Kim, Sarma Vrudhula, Carole-Jean Wu
Annual Conference on Machine Learning and Systems (MLSys), 2024.
[C80] Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo*, Wooseok Jang*, Min-Seop Kwak*, Hyeonsu Kim, Jaehoon Ko, Junho Kim, Jin-Hwa Kim**, Jiyoung Lee**, and Seungryong Kim** (* equally contributed, ** co-corresponding)
International Conference on Learning Representations (ICLR), 2024. [pdf] [project]
[C80] Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo*, Wooseok Jang*, Min-Seop Kwak*, Hyeonsu Kim, Jaehoon Ko, Junho Kim, Jin-Hwa Kim**, Jiyoung Lee**, and Seungryong Kim** (* equally contributed, ** co-corresponding)
International Conference on Learning Representations (ICLR), 2024. [pdf] [project]
2023
2023
[C77] Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection
Kwangrok Ryoo, Yeonsik Jo, Seungjun Lee, Mira Kim, Ahra Jo, Seung Hwan Kim, Seungryong Kim, Soonyoung Lee
Neural Information Processing Systems Workshop (NeurIPSW): Medical Imaging Meets NeurIPS, 2023. [pdf] [project]
[C77] Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection
Kwangrok Ryoo, Yeonsik Jo, Seungjun Lee, Mira Kim, Ahra Jo, Seung Hwan Kim, Seungryong Kim, Soonyoung Lee
Neural Information Processing Systems Workshop (NeurIPSW): Medical Imaging Meets NeurIPS, 2023. [pdf] [project]
[J28] Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations
Caroline Karmann, Bahar Aydemir, Kynthia Chamilothori, Seungryong Kim, Sabine Süsstrunk, Marilyne Andersen
Journal of Environmental Psychology (JEP), 2023. (Impact Factor: 6.9) [pdf]
[J28] Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations
Caroline Karmann, Bahar Aydemir, Kynthia Chamilothori, Seungryong Kim, Sabine Süsstrunk, Marilyne Andersen
Journal of Environmental Psychology (JEP), 2023. (Impact Factor: 6.9) [pdf]
[J27] InstaFormer++: Multi-Domain Instance-Aware Image-to-Image Translation with Transformer
Soohyun Kim, Jongbeom Baek, Jihye Park, Eunjae Ha, Homin Jung, Taeyoung Lee, and Seungryong Kim
International Journal of Computer Vision (IJCV), 2023.
[J27] InstaFormer++: Multi-Domain Instance-Aware Image-to-Image Translation with Transformer
Soohyun Kim, Jongbeom Baek, Jihye Park, Eunjae Ha, Homin Jung, Taeyoung Lee, and Seungryong Kim
International Journal of Computer Vision (IJCV), 2023.
[C69] PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification
Minsu Kim, Seungryong Kim, Jungin Park, Seongheon Park, and Kwanghoon Sohn
IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2023.
[C69] PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification
Minsu Kim, Seungryong Kim, Jungin Park, Seongheon Park, and Kwanghoon Sohn
IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2023.
[J26] 6D Object Pose Estimation Using a Particle Filter with Better Initialization
Gijae Lee, Junsik Kim, Seungryong Kim, and Kanggeom Kim
IEEE Access, 2023.
[J26] 6D Object Pose Estimation Using a Particle Filter with Better Initialization
Gijae Lee, Junsik Kim, Seungryong Kim, and Kanggeom Kim
IEEE Access, 2023.
2022
2022
[C66] You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge
Jungwoo Lim, Myugnhoon Kang, Yuna Hur, Seung Won Jeong, Jinsung Kim, Yoonna Jang, Dongyub Lee, Hyesung Ji, DongHoon Shin, Seungryong Kim, and Heuiseok Lim
The Conference on Empirical Methods in Natural Language Processing (EMNLP)- Findings, 2022.
[C66] You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge
Jungwoo Lim, Myugnhoon Kang, Yuna Hur, Seung Won Jeong, Jinsung Kim, Yoonna Jang, Dongyub Lee, Hyesung Ji, DongHoon Shin, Seungryong Kim, and Heuiseok Lim
The Conference on Empirical Methods in Natural Language Processing (EMNLP)- Findings, 2022.
[C64] Cost Aggregation with Transformers for Sparse Correspondence
Seungjun Lee, Seungjun An, Sunghwan Hong, Seokju Cho, Jisu Nam, Susung Hong, and Seungryong Kim
IEEE Conf. on Consumer Electronics Asia (ICCE-Asia), 2022.
[C64] Cost Aggregation with Transformers for Sparse Correspondence
Seungjun Lee, Seungjun An, Sunghwan Hong, Seokju Cho, Jisu Nam, Susung Hong, and Seungryong Kim
IEEE Conf. on Consumer Electronics Asia (ICCE-Asia), 2022.
[C63] Text-Driven In-The-Wild Car Image Manipulation Using Object Localization and Optimized Encoder Inversion
Yoojin Kim and Seungryong Kim
IEEE Conf. on Consumer Electronics Asia (ICCE-Asia), 2022.
[C63] Text-Driven In-The-Wild Car Image Manipulation Using Object Localization and Optimized Encoder Inversion
Yoojin Kim and Seungryong Kim
IEEE Conf. on Consumer Electronics Asia (ICCE-Asia), 2022.
[J23] Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation
Sunok Kim, Seungryong Kim, Dongbo Min, Pascal Frossard, and Kwanghoon Sohn
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Impact Factor: 24.314) [pdf]
[J23] Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation
Sunok Kim, Seungryong Kim, Dongbo Min, Pascal Frossard, and Kwanghoon Sohn
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Impact Factor: 24.314) [pdf]
[J22] 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), vol. 44, no. 9, pp. 5293-5313, Sep. 2022. (Impact Factor: 24.314) [pdf]
[J22] 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), vol. 44, no. 9, pp. 5293-5313, Sep. 2022. (Impact Factor: 24.314) [pdf]
[C62] Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling
Yunsung Lee*, Gyuseong Lee*, Kwangrok Ryoo*, Hyojun Go*, Jihye Park*, and Seungryong Kim (* equally contributed)
ECCV 2022 Workshop: 3rd Visual Inductive Priors for Data-Efficient Deep Learning Workshop (ECCVW), 2022
[C62] Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling
Yunsung Lee*, Gyuseong Lee*, Kwangrok Ryoo*, Hyojun Go*, Jihye Park*, and Seungryong Kim (* equally contributed)
ECCV 2022 Workshop: 3rd Visual Inductive Priors for Data-Efficient Deep Learning Workshop (ECCVW), 2022
[C59] Meta-learned Initialization for 3D Human Recovery
Mira Kim, Youngjo Min, Jiwon Kim, and Seungryong Kim
IEEE International Conference on Image Processing (ICIP), 2022.
[C59] Meta-learned Initialization for 3D Human Recovery
Mira Kim, Youngjo Min, Jiwon Kim, and Seungryong Kim
IEEE International Conference on Image Processing (ICIP), 2022.
[J21] Memory-guided Image De-raining Using Time-Lapse Data
Jaehoon Cho, Seungryong Kim, and Kwanghoon Sohn
IEEE Trans. on Image Processing (TIP), 2022. (Impact Factor: 11.041) [pdf]
[J21] Memory-guided Image De-raining Using Time-Lapse Data
Jaehoon Cho, Seungryong Kim, and Kwanghoon Sohn
IEEE Trans. on Image Processing (TIP), 2022. (Impact Factor: 11.041) [pdf]
[C57] Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Jiwon Kim*, Kwangrok Ryoo*, Junyoung Seo*, Gyuseong Lee*, Daehwan Kim, Hansang Cho, and Seungryong Kim (* equally contributed)
IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2022. [pdf]
[C57] Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Jiwon Kim*, Kwangrok Ryoo*, Junyoung Seo*, Gyuseong Lee*, Daehwan Kim, Hansang Cho, and Seungryong Kim (* equally contributed)
IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2022. [pdf]
[J20] Spatial Contrastive Learning for Anomaly Detection and Localization
Daehwan Kim, Daun Jeong, Hyungmin Kim, Kibong Chong, Seungryong Kim, and Hansang Cho
IEEE Access, 2022. [pdf]
[J20] Spatial Contrastive Learning for Anomaly Detection and Localization
Daehwan Kim, Daun Jeong, Hyungmin Kim, Kibong Chong, Seungryong Kim, and Hansang Cho
IEEE Access, 2022. [pdf]
[C56] Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation
Jongbeom Baek*, Gyeongnyeon Kim*, and Seungryong Kim (* equally contributed)
IEEE International Conference on Robotics and Automation (ICRA), 2022. [pdf]
[C56] Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation
Jongbeom Baek*, Gyeongnyeon Kim*, and Seungryong Kim (* equally contributed)
IEEE International Conference on Robotics and Automation (ICRA), 2022. [pdf]
[C55] Meta-Confidence Estimation for Stereo Matching
Seungryong Kim*, Matteo Poggi*, Sunok Kim, Kwanghoon Sohn, and Stefano Mattoccia (* equally contributed)
IEEE International Conference on Robotics and Automation (ICRA), 2022.
[C55] Meta-Confidence Estimation for Stereo Matching
Seungryong Kim*, Matteo Poggi*, Sunok Kim, Kwanghoon Sohn, and Stefano Mattoccia (* equally contributed)
IEEE International Conference on Robotics and Automation (ICRA), 2022.
[C54] Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence
Jiwon Kim, Youngjo Min, Mira Kim, and Seungryong Kim
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022. [pdf]
[C54] Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence
Jiwon Kim, Youngjo Min, Mira Kim, and Seungryong Kim
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022. [pdf]
[C52] Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge
Yoonna Jang*, Jungwoo Lim*, Yuna Hur*, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Donghoon Shin, Seungryong Kim**, and Heuiseok Lim** (* equally contributed, ** co-corresponding)
AAAI Conference on Artificial Intelligence (AAAI), 2022. (15% acceptance rate) [pdf]
[C52] Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge
Yoonna Jang*, Jungwoo Lim*, Yuna Hur*, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Donghoon Shin, Seungryong Kim**, and Heuiseok Lim** (* equally contributed, ** co-corresponding)
AAAI Conference on Artificial Intelligence (AAAI), 2022. (15% acceptance rate) [pdf]
2021
2021
[J19] Pyramidal Semantic Correspondence Networks
Sangryul Jeon, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (Impact Factor: 24.314) [pdf]
[J19] Pyramidal Semantic Correspondence Networks
Sangryul Jeon, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (Impact Factor: 24.314) [pdf]
[J18] Learning Adversarial Confidence Measures for Robust Stereo Matching
Sunok Kim, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn
IEEE Trans. on Intelligent Transportation Systems (TITS), 2021. (Impact Factor: 9.551) [pdf]
[J18] Learning Adversarial Confidence Measures for Robust Stereo Matching
Sunok Kim, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn
IEEE Trans. on Intelligent Transportation Systems (TITS), 2021. (Impact Factor: 9.551) [pdf]
[C49] Learning Canonical 3D Object Representation for Fine-grained Recognition
Sunghun Joung, Seungryong Kim, Minsu Kim, Ig-Jae Kim, and Kwanghoon Sohn
IEEE International Conference on Computer Vision (ICCV), 2021. [pdf]
[C49] Learning Canonical 3D Object Representation for Fine-grained Recognition
Sunghun Joung, Seungryong Kim, Minsu Kim, Ig-Jae Kim, and Kwanghoon Sohn
IEEE International Conference on Computer Vision (ICCV), 2021. [pdf]
[C48] Adaptive Confidence Thresholding for Monocular Depth Estimation
Hyesong Choi, Hansang Lee, Sunkyung Kim, Sunok Kim, Seungryong Kim, Kwanghoon Sohn, and Dongbo Min
IEEE International Conference on Computer Vision (ICCV), 2021. [pdf]
[C48] Adaptive Confidence Thresholding for Monocular Depth Estimation
Hyesong Choi, Hansang Lee, Sunkyung Kim, Sunok Kim, Seungryong Kim, Kwanghoon Sohn, and Dongbo Min
IEEE International Conference on Computer Vision (ICCV), 2021. [pdf]
[C47] Hough Contrastive Learning: Hough Voting to Find Better Positive Pairs in Dense Self-supervised Representation Learning
Yunsung Lee, Teakgyu Hong, Han-Cheol Cho, Junbum Cha, and Seungryong Kim
ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception (ICMLW), 2021 [pdf]
[C47] Hough Contrastive Learning: Hough Voting to Find Better Positive Pairs in Dense Self-supervised Representation Learning
Yunsung Lee, Teakgyu Hong, Han-Cheol Cho, Junbum Cha, and Seungryong Kim
ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception (ICMLW), 2021 [pdf]
[C46] Mining Better Samples for Contrastive Learning of Temporal Correspondence
Sangryul Jeon, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn
IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2021. (23.6% acceptance rate) [pdf]
[C46] Mining Better Samples for Contrastive Learning of Temporal Correspondence
Sangryul Jeon, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn
IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2021. (23.6% acceptance rate) [pdf]
[C45] 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. Computer Vision Pattern Recognition (CVPR), 2021. (Oral Presentation) (4.19% acceptance rate) [pdf]
[C45] 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. Computer Vision Pattern Recognition (CVPR), 2021. (Oral Presentation) (4.19% acceptance rate) [pdf]
[C44] Data Augmentations for Document Images
Yunsung Lee, Teakgyu Hong, and Seungryong Kim
AAAI Workshop- The AAAI-21 Workshop on Scientific Document Understanding (AAAIW), 2021. [pdf]
[C44] Data Augmentations for Document Images
Yunsung Lee, Teakgyu Hong, and Seungryong Kim
AAAI Workshop- The AAAI-21 Workshop on Scientific Document Understanding (AAAIW), 2021. [pdf]
[C43] 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. (21.4% acceptance rate) [pdf]
[C43] 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. (21.4% acceptance rate) [pdf]
2020
2020
[J16] Single Image Deraining Using Time-lapse Data
Jaehoon Cho, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn
IEEE Trans. on Image Processing (TIP), 2020. (Impact Factor: 11.041) [pdf]
[J16] Single Image Deraining Using Time-lapse Data
Jaehoon Cho, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn
IEEE Trans. on Image Processing (TIP), 2020. (Impact Factor: 11.041) [pdf]
[J15] Tri-modal Recurrent Attention Networks for Emotion Recognition
Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn
IEEE Trans. on Image Processing (TIP), 2020. (Impact Factor: 11.041) [pdf]
[J15] Tri-modal Recurrent Attention Networks for Emotion Recognition
Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn
IEEE Trans. on Image Processing (TIP), 2020. (Impact Factor: 11.041) [pdf]
[C42] Volumetric Transformer Networks
Seungryong Kim, Sabine Süsstrunk, and Mathieu Salzmann
European Conference on Computer Vision (ECCV), Sep. 2020. (27% acceptance rate) [pdf]
[C42] Volumetric Transformer Networks
Seungryong Kim, Sabine Süsstrunk, and Mathieu Salzmann
European Conference on Computer Vision (ECCV), Sep. 2020. (27% acceptance rate) [pdf]
[C41] Guided Semantic Flow
Sangryul Jeon, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn
European Conference on Computer Vision (ECCV), Sep. 2020. (27% acceptance rate) [pdf]
[C41] Guided Semantic Flow
Sangryul Jeon, Dongbo Min, Seungryong Kim, and Kwanghoon Sohn
European Conference on Computer Vision (ECCV), Sep. 2020. (27% acceptance rate) [pdf]
[C40] DUNIT: Detection-based Unsupervised Image-to-Image Translation
Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, and Mathieu Salzmann
IEEE Conf. Computer Vision Pattern Recognition (CVPR), Jun. 2020. (22% acceptance rate) [pdf]
[C40] DUNIT: Detection-based Unsupervised Image-to-Image Translation
Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, and Mathieu Salzmann
IEEE Conf. Computer Vision Pattern Recognition (CVPR), Jun. 2020. (22% acceptance rate) [pdf]
[J14] Unsupervised Stereo Matching for Confidential Correspondence Consistency
Sunghun Joung, Seungryong Kim, Kihong Park, and Kwanghoon Sohn
IEEE Trans. on Intelligent Transportation Systems (TITS), vol. 21, no. 5, pp. 2190-2203, May. 2020. (Impact Factor: 9.551) [pdf]
[J14] Unsupervised Stereo Matching for Confidential Correspondence Consistency
Sunghun Joung, Seungryong Kim, Kihong Park, and Kwanghoon Sohn
IEEE Trans. on Intelligent Transportation Systems (TITS), vol. 21, no. 5, pp. 2190-2203, May. 2020. (Impact Factor: 9.551) [pdf]
[J12] 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: 9.551) [pdf]
[J12] 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: 9.551) [pdf]
2019
2019
[C37] 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) [pdf]
[C37] 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) [pdf]
[C36] 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. [pdf]
[C36] 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. [pdf]
[C35] 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. [pdf]
[C35] 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. [pdf]
[C34] Semantic Attribute Matching Networks
Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, and Kwanghoon Sohn
IEEE Conf. Computer Vision Pattern Recognition (CVPR), Jun. 2019. (25.2% acceptance rate) [pdf]
[C34] Semantic Attribute Matching Networks
Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, and Kwanghoon Sohn
IEEE Conf. Computer Vision Pattern Recognition (CVPR), Jun. 2019. (25.2% acceptance rate) [pdf]
[J9] 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: 11.041) [pdf]
[J9] 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: 11.041) [pdf]
2018
2018
[C31] 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. [pdf]
[C31] 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. [pdf]
[C30] 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. [pdf]
[C30] 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. [pdf]
[C29]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. [pdf]
[C29]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. [pdf]
[C28] PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence
Sangryul Jeon, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn
European Conference on Computer Vision (ECCV), Sep. 2018. (31.8% acceptance rate) [pdf]
[C28] PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence
Sangryul Jeon, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn
European Conference on Computer Vision (ECCV), Sep. 2018. (31.8% acceptance rate) [pdf]
[J8] 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: 8.518) [pdf]
[J8] 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: 8.518) [pdf]
[C27] 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. [pdf]
[C27] 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. [pdf]
[C26] 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. [pdf]
[C26] 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. [pdf]
[C25] 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. [pdf]
[C25] 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. [pdf]
2017
2017
[J7] 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: 11.041) [pdf]
[J7] 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: 11.041) [pdf]
[J6] DASC: Robust Dense Descriptor for Muiti-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: 24.314) [pdf] [project]
[J6] DASC: Robust Dense Descriptor for Muiti-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: 24.314) [pdf] [project]
[C23] Pedestrian Proposal Generation Using Depth-Aware Scale Estimation
Kihong Park, Seungryong Kim, and Kwanghoon Sohn
IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
[C23] Pedestrian Proposal Generation Using Depth-Aware Scale Estimation
Kihong Park, Seungryong Kim, and Kwanghoon Sohn
IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
[C22] Convolutional Feature Pyramid Fusion via Attention Network
Sangryul Jeon, Seungryong Kim, and Kwanghoon Sohn
IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
[C22] Convolutional Feature Pyramid Fusion via Attention Network
Sangryul Jeon, Seungryong Kim, and Kwanghoon Sohn
IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
[C21] 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. [pdf]
[C21] 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. [pdf]
[C20] Unsupervised Stereo Matching Using Correspondence Consistency
Sunghun Joung, Seungryong Kim, Bumsub Ham, and Kwanghoon Sohn
IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
[C20] Unsupervised Stereo Matching Using Correspondence Consistency
Sunghun Joung, Seungryong Kim, Bumsub Ham, and Kwanghoon Sohn
IEEE International Conference on Image Processing (ICIP), Sep. 2017. [pdf]
[C19] 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. [pdf]
[C19] 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. [pdf]
[C18] 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. [pdf]
[C18] 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. [pdf]
[J5] 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: 8.518) [pdf]
[J5] 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: 8.518) [pdf]
Before 2016
Before 2016
[J3] 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, no. 30, pp. 32-41, Dec. 2016. [pdf]
[J3] 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, no. 30, pp. 32-41, Dec. 2016. [pdf]
[C16] Homography Flow for Dense Correspondences
Kihong Park, Seungryong Kim, and Kwanghoon Sohn
Asia-Pacific Signal and Information Processing Association Conference (APSIPA), Dec. 2016. [pdf]
[C16] Homography Flow for Dense Correspondences
Kihong Park, Seungryong Kim, and Kwanghoon Sohn
Asia-Pacific Signal and Information Processing Association Conference (APSIPA), Dec. 2016. [pdf]
[C15] 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) [pdf] [project]
[C15] 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) [pdf] [project]
[C13] 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. [pdf]
[C13] 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. [pdf]
[C12] 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. [pdf]
[C12] 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. [pdf]
[C11] Multilevel Segment Based Dense Correspondence: An Affine Transformation Approach
Sungil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn
Electronic Imaging (EI), Feb. 2016. [pdf]
[C11] Multilevel Segment Based Dense Correspondence: An Affine Transformation Approach
Sungil Choi, Seungryong Kim, Kihong Park, and Kwanghoon Sohn
Electronic Imaging (EI), Feb. 2016. [pdf]
[J2] A Multi-Vision Sensor-based Fast Localization System with Image Matching in Challenging Outdoor Environments
Jongin Son, Seungryong Kim, Sanghoon Kim and Kwanghoon Sohn
Expert Systems with Applications (ESWA), vol. 42, no. 22, pp. 8830-8839, Dec. 2015. [pdf]
[J2] A Multi-Vision Sensor-based Fast Localization System with Image Matching in Challenging Outdoor Environments
Jongin Son, Seungryong Kim, Sanghoon Kim and Kwanghoon Sohn
Expert Systems with Applications (ESWA), vol. 42, no. 22, pp. 8830-8839, Dec. 2015. [pdf]
[C10] Randomized Global Transformation Approach for Dense Correspondence
Kihong Park, Seungryong Kim, Seungchul Ryu, and Kwanghoon Sohn
British Machine Vision Conference (BMVC), Sep. 2015. [pdf]
[C10] Randomized Global Transformation Approach for Dense Correspondence
Kihong Park, Seungryong Kim, Seungchul Ryu, and Kwanghoon Sohn
British Machine Vision Conference (BMVC), Sep. 2015. [pdf]
[C9] 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. [pdf]
[C9] 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. [pdf]
[C7] Statistical Approach for Supervised Codeword Selection
Kihong Park, Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn
Electronic Imaging (EI), Feb. 2015. [pdf]
[C7] Statistical Approach for Supervised Codeword Selection
Kihong Park, Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn
Electronic Imaging (EI), Feb. 2015. [pdf]
[C6] 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. [pdf]
[C6] 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. [pdf]
[J1] Mahalanobis Distance Cross-Correlation for Illumination Invariant Stereo Matching
Seungryong Kim, Bumsub Ham, Bongjoe Kim, and Kwanghoon Sohn
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), vol. 24, no. 12, pp. 3839-3860, Dec. 2014. [pdf]
[J1] Mahalanobis Distance Cross-Correlation for Illumination Invariant Stereo Matching
Seungryong Kim, Bumsub Ham, Bongjoe Kim, and Kwanghoon Sohn
IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), vol. 24, no. 12, pp. 3839-3860, Dec. 2014. [pdf]
[C5] 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) [pdf]
[C5] 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) [pdf]
[C4] 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. [pdf]
[C4] 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. [pdf]
[C3] Synthesis Quality Prediction Model Based on Distortion Intolerance
Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn
IEEE International Conference on Image Processing (ICIP), Oct. 2014. [pdf]
[C3] Synthesis Quality Prediction Model Based on Distortion Intolerance
Seungchul Ryu, Seungryong Kim, and Kwanghoon Sohn
IEEE International Conference on Image Processing (ICIP), Oct. 2014. [pdf]
[C2] 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) [pdf]
[C2] 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) [pdf]
[C1] Robust Corner Detector Based on Corner Candidate Region
Seungryong Kim, Hunjae Yoo, and Kwanghoon Sohn
IEEE Conference on Industrial Electronics and Application (ICIEA), Jun. 2013. [pdf]
[C1] Robust Corner Detector Based on Corner Candidate Region
Seungryong Kim, Hunjae Yoo, and Kwanghoon Sohn
IEEE Conference on Industrial Electronics and Application (ICIEA), Jun. 2013. [pdf]