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)

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

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

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 (Under Review)

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) (Under Review)

Cylindrical Convolutional Networks for Accurate Joint Object Detection and Viewpoint Estimation
Sunghun Joung, Seungryong Kim, and Kwanghoon Sohn

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)

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

Improving Sample Quality of Diffusion Model Using Self-Attention Guidance [pdf] [project]
Susung Hong, Gyuseong Lee, Wooseok Jang, and Seungryong Kim

Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence [pdf]
Sunghwan Hong*, Seokju Cho*, Seungryong Kim, and Stephen Lin (* equally contributed)

Controllable Style Transfer via Test-time Training of Implicit Neural Representation [pdf] [project]
Sunwoo Kim*, Youngjo Min*, Younghun Jung*, and Seungryong Kim (* equally contributed)

SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels [pdf] [project]
Daehwan Kim*, Kwangrok Ryoo*, Hansang Cho, and Seungryong Kim (* equally contributed)

Semi-Supervised Learning of Monocular Depth Estimation via Consistency Regularization with K-way Disjoint Masking [pdf] [project]
Jongbeom Baek*, Gyeongnyeon Kim*, Seonghoon Park*, Honggyu An, Matteo Poggi, and Seungryong Kim (* equally contributed)

DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models [pdf] [project]
Gyeongnyeon Kim*, Wooseok Jang*, Gyuseong Lee*, Susung Hong, Junyoung Seo, and Seungryong Kim (* equally contributed)

DiffFace: Diffusion-based Face Swapping with Facial Guidance [pdf] [project]
Kihong Kim*, Yunho Kim*, Seokju Cho, Junyoung Seo, Jisu Nam, Kychul Lee, Seungryong Kim, and KwangHee Lee

GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency [pdf] [project]
Minseop Kwak*, Jiuhn Song*, and Seungryong Kim (* equally contributed)

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation [pdf] [project]
Junyoung Seo*, Wooseok Jang*, Min-Seop Kwak*,  Jaehoon Ko, Hyeonsu Kim, Junho Kim, Jin-Hwa Kim**, Jiyoung Lee**, and Seungryong Kim** (* equally contributed, ** co-corresponding)

ExtremeNeRF: Few-Shot Neural Radiance Fields Under Unconstrained Illumination [pdf] [project]
SeokYeong Lee, JunYong Choi, Seungryong Kim, Ig-Jae Kim, and Junghyun Cho

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation [pdf] [project]
Seokju Cho*, Heeseong Shin*, Sunghwan Hong, Seungjun An, Seungjun Lee, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim (* equally contributed)

2023

[C70] LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data
Jihye Park*, Sunwoo Kim*, Soohyun Kim*, Seokju Cho, Jaejun Yoo, Youngjung Uh, and Seungryong Kim (* equally contributed)
IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2023. [pdf] [project]

[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

[J266D Object Pose Estimation Using a Particle Filter with Better Initialization
Gijae Lee, Junsik Kim, Seungryong Kim, and Kanggeom Kim
IEEE Access, 2023.

[C68] MIDMs: Matching Interleaved Diffusion Models  for Exemplar-based Image Translation
Junyoung Seo*, Gyuseong Lee*, Seokju Cho, Jiyoung Lee, and Seungryong Kim (* equally contributed)
AAAI Conference on Artificial Intelligence (AAAI), 2023. [pdf] [project]

[C67] 3D GAN Inversion with Pose Optimization
Jaehoon Ko*, Kyusun Cho*, Daewon Choi, Kwangrok Ryoo, and Seungryong Kim  (* equally contributed)
Winter Conference on Applications of Computer Vision (WACV), 2023. [pdf] [project]

2022

[J25Modeling Object Dissimilarity for Deep Saliency Prediction
Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Seungryong Kim, Mathieu Salzmann, and Sabine Süsstrunk
Transactions on Machine Learning Research (TMLR), 2022. [pdf] [project]

[J24]  CATs++: Boosting Cost Aggregation with Convolutions and Transformers
Seokju Cho*, Sunghwan Hong*, and Seungryong Kim (* equally contributed)
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Impact Factor: 24.314) [pdf] [project]

[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. 

[C65] Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence
Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong,  Sangryul Jeon, Dongbo Min, and Seungryong Kim
Neural Information Processing Systems (NeurIPS), 2022. [pdf] [project]

[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.

[J23Stereo 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]

[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

[C61] ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization
Jiwon Kim*, Youngjo Min*, Daehwan Kim*, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, and Seungryong Kim (* equally contributed)
European Conference on Computer Vision (ECCV), 2022. [pdf] [project]

[C60] Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
Sunghwan Hong*, Seokju Cho*, Jisu Nam, Stephen Lin, and Seungryong Kim (* equally contributed)
European Conference on Computer Vision (ECCV), 2022. [pdf] [project]

[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.

[J21Memory-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]

[C58InstaFormer: Instance-Aware Image-to-Image Translation with Transformer
Soohyun Kim, Jongbeom Baek, Jihye Park, Gyeongnyeon Kim, and Seungryong Kim
IEEE Conf. Computer Vision Pattern Recognition (CVPR), 2022. [pdf] [project]

[C57Semi-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

[J20Spatial 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

[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]

[C53] Deep Translation Prior: Test-time Training for Photorealistic Style Transfer
Sunwoo Kim*, Soohyun Kim*, and Seungryong Kim (* equally contributed)
AAAI Conference on Artificial Intelligence (AAAI), 2022. (15% acceptance rate) [pdf] [project]

[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

[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]

[C51] CATs: Cost Aggregation Transformers for Visual Correspondence
Seokju Cho*, Sunghwan Hong*, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, and Seungryong Kim (* equally contributed)
Neural Information Processing Systems (NeurIPS), 2021. [pdf] [project]

[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]

[C50] Deep Matching Prior: Test-Time Optimization for Dense Correspondence
Sunghwan Hong and Seungryong Kim
IEEE International Conference on Computer Vision (ICCV), 2021. [pdf] [project

[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]

[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]

[J17] 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), vol. 43, no. 7, pp. 2345-2359, Jul. 2021. (Impact Factor: 24.314) [pdf] [project]

[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]

[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]

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

[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]

[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]

[C39] 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. Computer Vision Pattern Recognition (CVPR), Jun. 2020. (22% acceptance rate) [pdf] [project]

[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

[J13] 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: 24.314) [pdf] [project]

[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

[J11] 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: 11.041) [pdf] [project]

[C38] 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) [pdf] [project

[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]

[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]

[C33] LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation
Sunok Kim, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn
IEEE Conf. Computer Vision Pattern Recognition (CVPR), Jun. 2019. (Oral Presentation) (5.58% acceptance rate) [pdf] [project]

[J10] 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. 03, pp. 581-595, Mar. 2019. (Impact Factor: 24.314) [pdf] [project]

[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

[C32] 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) [pdf] [project]

[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]

[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]

[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]

[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]

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]

[C24] 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) [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]

[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]

[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]

[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]

[C17] 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) [pdf] [project

[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]

[J4] 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: 11.041) [pdf] [project]

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]

[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]

[C14] Deep Self-Convolutional 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) [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]

[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]

[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]

[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]

[C8] 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. Computer Vision Pattern Recognition (CVPR), Jun. 2015. (28.4% acceptance rate) [pdf] [project]

[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]

[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]

[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]

[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]