ABFT: Anisotropic binary feature transform based on structure tensor space. - Seungryong Kim; Hunjae Yoo; Seungchul Ryu; Bumsub Ham; Kwanghoon Sohn (ICIP, 2013)

Robust Stereo Matching Using Probabilistic Laplacian Surface Propagation. - Seungryong Kim; Bumsub Ham; Seungchul Ryu; Seon Joo Kim; Kwanghoon Sohn (ACCV (1), 2014)

Local self-similarity frequency descriptor for multispectral feature matching. - Seungryong Kim; Seungchul Ryu; Bumsub Ham; Junhyung Kim; Kwanghoon Sohn (ICIP, 2014)

Synthesis quality prediction model based on distortion intolerance. - Seungchul Ryu; Seungryong Kim; Kwanghoon Sohn (ICIP, 2014)

Mahalanobis Distance Cross-Correlation for Illumination-Invariant Stereo Matching. - Seungryong Kim; Bumsub Ham; Bongjoe Kim; Kwanghoon Sohn (IEEE Trans. Circuits Syst. Video Technol., 2014)

Robust stereo matching based on probabilistic Laplacian propagation with weighted mutual information. - Junhyung Kim; Seungchul Ryu; Seungryong Kim; Kwanghoon Sohn (Three-Dimensional Image Processing, Measurement (3DIPM), and Applications, 2015)

Randomized Global Transformation Approach for Dense Correspondence. - Kihong Park; Seungryong Kim; Seungchul Ryu; Kwanghoon Sohn (BMVC, 2015)

DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence. - Seungryong Kim; Dongbo Min; Bumsub Ham; Seungchul Ryu; Minh N. Do; Kwanghoon Sohn (CVPR, 2015)

Statistical approach for supervised codeword selection. - Kihong Park; Seungchul Ryu; Seungryong Kim; Kwanghoon Sohn (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2015)

Fast affine-invariant image matching based on global Bhattacharyya measure with adaptive tree. - Jongin Son; Seungryong Kim; Kwanghoon Sohn (ICIP, 2015)

A multi-vision sensor-based fast localization system with image matching for challenging outdoor environments. - Jongin Son; Seungryong Kim; Kwanghoon Sohn (Expert Syst. Appl., 2015)

Homography flow for dense correspondences. - Kihong Park; Seungryong Kim; Kwanghoon Sohn (APSIPA, 2016)

Deep Self-correlation Descriptor for Dense Cross-Modal Correspondence. - Seungryong Kim; Dongbo Min; Stephen Lin 001; Kwanghoon Sohn (ECCV (8), 2016)

Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields. - Seungryong Kim; Kihong Park; Kwanghoon Sohn; Stephen Lin 001 (ECCV (8), 2016)

Dense Correspondence using Multilevel Segmentation and Affine Transformation. - Sungil Choi; Kihong Park; Seungryong Kim; Kwanghoon Sohn (Image Processing: Machine Vision Applications, 2016)

ANCC flow: Adaptive normalized cross-correlation with evolving guidance aggregation for dense correspondence estimation. - Seungryong Kim; Dongbo Min; Kwanghoon Sohn (ICIP, 2016)

Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks. - Hangil Choi; Seungryong Kim; Kihong Park; Kwanghoon Sohn (ICPR, 2016)

Enabling operation data visibility for SmartX-mini IoT-cloud playground. - Seungryong Kim; JongWon Kim (NetSoft, 2016)

Deep Self-Convolutional Activations Descriptor for Dense Cross-Modal Correspondence. - Seungryong Kim; Dongbo Min; Stephen Lin 001; Kwanghoon Sohn (CoRR, 2016)

Fast illumination-robust foreground detection using hierarchical distribution map for real-time video surveillance system. - Jongin Son; Seungryong Kim; Kwanghoon Sohn (Expert Syst. Appl., 2016)

Reliable smart energy IoT-cloud service operation with container orchestration. - Seungryong Kim; Chorwon Kim; JongWon Kim 001 (APNOMS, 2017)

Understanding Automated Continuous Integration for Containerized Smart Energy IoT-Cloud Service. - Chorwon Kim; Seungryong Kim; JongWon Kim 001 (CSA/CUTE, 2017)

FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence. - Seungryong Kim; Dongbo Min; Bumsub Ham; Sangryul Jeon; Stephen Lin 001; Kwanghoon Sohn (CVPR, 2017)

DCTM: Discrete-Continuous Transformation Matching for Semantic Flow. - Seungryong Kim; Dongbo Min; Stephen Lin 001; Kwanghoon Sohn (ICCV, 2017)

Multispectral human co-segmentation via joint convolutional neural networks. - Sungil Choi; Seungryong Kim; Kihong Park; Kwanghoon Sohn (ICIP, 2017)

Convolutional feature pyramid fusion via attention network. - Sangryul Jeon; Seungryong Kim; Kwanghoon Sohn (ICIP, 2017)

Convolutional cost aggregation for robust stereo matching. - Somi Jeong; Seungryong Kim; Bumsub Ham; Kwanghoon Sohn (ICIP, 2017)

Unsupervised stereo matching using correspondence consistency. - Sunghun Joung; Seungryong Kim; Bumsub Ham; Kwanghoon Sohn (ICIP, 2017)

Deep stereo confidence prediction for depth estimation. - Sunok Kim; Dongbo Min; Bumsub Ham; Seungryong Kim; Kwanghoon Sohn (ICIP, 2017)

Pedestrian proposal generation using depth-aware scale estimation. - Kihong Park; Seungryong Kim; Kwanghoon Sohn (ICIP, 2017)

Dynamic flow steering for IoT monitoring data in SDN-coordinated IoT-Cloud services. - Heebum Yoon; Seungryong Kim; Taekho Nam; JongWon Kim 001 (ICOIN, 2017)

DASC: Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence Estimation. - Seungryong Kim; Dongbo Min; Bumsub Ham; Minh N. Do; Kwanghoon Sohn (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

LAT: Local area transform for cross modal correspondence matching. - Seungchul Ryu; Seungryong Kim; Kwanghoon Sohn (Pattern Recognit., 2017)

Modality-Invariant Image Classification Based on Modality Uniqueness and Dictionary Learning. - Seungryong Kim; Rui Cai 002; Kihong Park; Sunok Kim; Kwanghoon Sohn (IEEE Trans. Image Process., 2017)

Feature Augmentation for Learning Confidence Measure in Stereo Matching. - Sunok Kim; Dongbo Min; Seungryong Kim; Kwanghoon Sohn (IEEE Trans. Image Process., 2017)

Learning Descriptor, Confidence, and Depth Estimation in Multi-View Stereo. - Sungil Choi; Seungryong Kim; Kihong Park; Kwanghoon Sohn (CVPR Workshops, 2018)

PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence. - Sangryul Jeon; Seungryong Kim; Dongbo Min; Kwanghoon Sohn (ECCV (6), 2018)

Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition. - Jiyoung Lee; Sunok Kim; Seungryong Kim; Kwanghoon Sohn (ICASSP, 2018)

High-Precision Depth Estimation with the 3D LiDAR and Stereo Fusion. - Kihong Park; Seungryong Kim; Kwanghoon Sohn (ICRA, 2018)

Audio-Visual Attention Networks for Emotion Recognition. - Jiyoung Lee; Sunok Kim; Seungryong Kim; Kwanghoon Sohn (AVSU@MM, 2018)

Learning to Detect, Associate, and Recognize Human Actions and Surrounding Scenes in Untrimmed Videos. - Jungin Park; Sangryul Jeon; Seungryong Kim; Jiyoung Lee; Sunok Kim; Kwanghoon Sohn (CoVieW@MM, 2018)

CoVieW'18: The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild. - Kwanghoon Sohn; Ming-Hsuan Yang 001; Hyeran Byun; Jongwoo Lim; Jison Hsu; Stephen Lin 001; Euntai Kim; Seungryong Kim (ACM Multimedia, 2018)

Recurrent Transformer Networks for Semantic Correspondence. - Seungryong Kim; Stephen Lin 001; Sangryul Jeon; Dongbo Min; Kwanghoon Sohn (NeurIPS, 2018)

Unified multi-spectral pedestrian detection based on probabilistic fusion networks. - Kihong Park; Seungryong Kim; Kwanghoon Sohn (Pattern Recognit., 2018)

LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation. - Sunok Kim; Seungryong Kim; Dongbo Min; Kwanghoon Sohn (CVPR, 2019)

Semantic Attribute Matching Networks. - Seungryong Kim; Dongbo Min; Somi Jeong; Sunok Kim; Sangryul Jeon; Kwanghoon Sohn (CVPR, 2019)

Joint Learning of Semantic Alignment and Object Landmark Detection. - Sangryul Jeon; Dongbo Min; Seungryong Kim; Kwanghoon Sohn (ICCV, 2019)

Context-Aware Emotion Recognition Networks. - Jiyoung Lee; Seungryong Kim; Sunok Kim; Jungin Park; Kwanghoon Sohn (ICCV, 2019)

Unpaired Cross-Spectral Pedestrian Detection Via Adversarial Feature Learning. - Minsu Kim; Sunghun Joung; Kihong Park; Seungryong Kim; Kwanghoon Sohn (ICIP, 2019)

Graph Regularization Network with Semantic Affinity for Weakly-Supervised Temporal Action Localization. - Jungin Park; Jiyoung Lee; Sangryul Jeon; Seungryong Kim; Kwanghoon Sohn (ICIP, 2019)

Satellite Image-Based Ship Classification Method with Sentinel-1 Iw Mode Data. - Seungryong Kim; Jeongju Bae; Chan-Su Yang (IGARSS, 2019)

FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence. - Seungryong Kim; Dongbo Min; Bumsub Ham; Stephen Lin 001; Kwanghoon Sohn (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Learning to Find Unpaired Cross-Spectral Correspondences. - Somi Jeong; Seungryong Kim; Kihong Park; Kwanghoon Sohn (IEEE Trans. Image Process., 2019)

Unified Confidence Estimation Networks for Robust Stereo Matching. - Sunok Kim; Dongbo Min; Seungryong Kim; Kwanghoon Sohn (IEEE Trans. Image Process., 2019)

DUNIT: Detection-Based Unsupervised Image-to-Image Translation. - Deblina Bhattacharjee; Seungryong Kim; Guillaume Vizier; Mathieu Salzmann (CVPR, 2020)

Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation. - Sunghun Joung; Seungryong Kim; Hanjae Kim; Minsu Kim; Ig-Jae Kim; Junghyun Cho; Kwanghoon Sohn (CVPR, 2020)

Guided Semantic Flow. - Sangryul Jeon; Dongbo Min; Seungryong Kim; Jihwan Choe; Kwanghoon Sohn (ECCV (28), 2020)

Volumetric Transformer Networks. - Seungryong Kim; Sabine Süsstrunk; Mathieu Salzmann (ECCV (28), 2020)

Adaptive confidence thresholding for semi-supervised monocular depth estimation. - Hyesong Choi; Hunsang Lee; Sunkyung Kim; Sunok Kim; Seungryong Kim; Dongbo Min (CoRR, 2020)

Online Exemplar Fine-Tuning for Image-to-Image Translation. - Taewon Kang; Soohyun Kim; Sunwoo Kim; Seungryong Kim (CoRR, 2020)

Discrete-Continuous Transformation Matching for Dense Semantic Correspondence. - Seungryong Kim; Dongbo Min; Stephen Lin 001; Kwanghoon Sohn (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Single Image Deraining Using Time-Lapse Data. - Jaehoon Cho; Seungryong Kim; Dongbo Min; Kwanghoon Sohn (IEEE Trans. Image Process., 2020)

Multi-Modal Recurrent Attention Networks for Facial Expression Recognition. - Jiyoung Lee; Sunok Kim; Seungryong Kim; Kwanghoon Sohn (IEEE Trans. Image Process., 2020)

Unsupervised Stereo Matching Using Confidential Correspondence Consistency. - Sunghun Joung; Seungryong Kim; Kihong Park; Kwanghoon Sohn (IEEE Trans. Intell. Transp. Syst., 2020)

High-Precision Depth Estimation Using Uncalibrated LiDAR and Stereo Fusion. - Kihong Park; Seungryong Kim; Kwanghoon Sohn (IEEE Trans. Intell. Transp. Syst., 2020)

Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation. - Minsu Kim; Sunghun Joung; Seungryong Kim; Jungin Park; Ig-Jae Kim; Kwanghoon Sohn (AAAI, 2021)

Data Augmentations for Document Images. - Yunsung Lee; Teakgyu Hong; Seungryong Kim (SDU@AAAI, 2021)

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. - Sungha Choi; Sanghun Jung; Huiwon Yun; Joanne Taery Kim; Seungryong Kim; Jaegul Choo (CVPR, 2021)

Mining Better Samples for Contrastive Learning of Temporal Correspondence. - Sangryul Jeon; Dongbo Min; Seungryong Kim; Kwanghoon Sohn (CVPR, 2021)

Adaptive confidence thresholding for monocular depth estimation. - Hyesong Choi; Hunsang Lee; Sunkyung Kim; Sunok Kim; Seungryong Kim; Kwanghoon Sohn; Dongbo Min (ICCV, 2021)

Deep Matching Prior: Test-Time Optimization for Dense Correspondence. - Sunghwan Hong; Seungryong Kim (ICCV, 2021)

Learning Canonical 3D Object Representation for Fine-Grained Recognition. - Sunghun Joung; Seungryong Kim; Minsu Kim; Ig-Jae Kim; Kwanghoon Sohn (ICCV, 2021)

CATs: Cost Aggregation Transformers for Visual Correspondence. - Seokju Cho; Sunghwan Hong; Sangryul Jeon; Yunsung Lee; Kwanghoon Sohn; Seungryong Kim (NeurIPS, 2021)

Semantic Correspondence with Transformers. - Seokju Cho; Sunghwan Hong; Sangryul Jeon; Yunsung Lee; Kwanghoon Sohn; Seungryong Kim (CoRR, 2021)

MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation. - Hojoon Lee; Dongyoon Hwang; Sunghwan Hong; Changyeon Kim; Seungryong Kim; Jaegul Choo (CoRR, 2021)

HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning. - Yunsung Lee; Teakgyu Hong; Hancheol Cho; Junbum Cha; Seungryong Kim (CoRR, 2021)

Cost Aggregation Is All You Need for Few-Shot Segmentation. - Sunghwan Hong; Seokju Cho; Jisu Nam; Seungryong Kim (CoRR, 2021)

Dense Cross-Modal Correspondence Estimation With the Deep Self-Correlation Descriptor. - Seungryong Kim; Dongbo Min; Stephen Lin 001; Kwanghoon Sohn (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Adversarial Confidence Estimation Networks for Robust Stereo Matching. - Sunok Kim; Dongbo Min; Seungryong Kim; Kwanghoon Sohn (IEEE Trans. Intell. Transp. Syst., 2021)

Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge. - Yoonna Jang; Jungwoo Lim; Yuna Hur; Dongsuk Oh; Suhyune Son; Yeonsoo Lee; Dong-Hoon Shin; Seungryong Kim; Heuiseok Lim (AAAI, 2022)

Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer. - Sunwoo Kim; Soohyun Kim; Seungryong Kim (AAAI, 2022)

InstaFormer: Instance-Aware Image-to-Image Translation with Transformer. - Soohyun Kim; Jongbeom Baek; Jihye Park; Gyeongnyeon Kim; Seungryong Kim (CVPR, 2022)

Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels. - Jiwon Kim; Kwangrok Ryoo; Junyoung Seo; Gyuseong Lee; Daehwan Kim; Hansang Cho; Seungryong Kim (CVPR, 2022)

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation. - Sunghwan Hong; Seokju Cho; Jisu Nam; Stephen Lin 001; Seungryong Kim (ECCV (29), 2022)

ConMatch: Semi-supervised Learning with Confidence-Guided Consistency Regularization. - Jiwon Kim; Youngjo Min; Daehwan Kim; Gyuseong Lee; Junyoung Seo; Kwangrok Ryoo; Seungryong Kim (ECCV (30), 2022)

Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling. - Yunsung Lee; Gyuseong Lee; Kwangrok Ryoo; Hyojun Go; Jihye Park; Seungryong Kim (ECCV Workshops (4), 2022)

You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge. - Jungwoo Lim; Myunghoon Kang; Yuna Hur; Seung Won Jeong; Jinsung Kim; Yoonna Jang; Dongyub Lee; Hyesung Ji; Dong-Hoon Shin; Seungryong Kim; Heuiseok Lim (EMNLP (Findings), 2022)

Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence. - Jiwon Kim; Youngjo Min; Mira Kim; Seungryong Kim (ICASSP, 2022)

Meta-Learned Initialization For 3D Human Recovery. - Mira Kim; Youngjo Min; Jiwon Kim; Seungryong Kim (ICIP, 2022)

Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation. - Jongbeom Baek; Gyeongnyeon Kim; Seungryong Kim (ICRA, 2022)

Meta-confidence estimation for stereo matching. - Seungryong Kim; Matteo Poggi; Sunok Kim; Kwanghoon Sohn; Stefano Mattoccia (ICRA, 2022)

Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence. - Sunghwan Hong; Jisu Nam; Seokju Cho; Susung Hong; Sangryul Jeon; Dongbo Min; Seungryong Kim (NeurIPS, 2022)

Spatial Contrastive Learning for Anomaly Detection and Localization. - Daehwan Kim; Daun Jeong; Hyungmin Kim 004; Kibong Chong; Seungryong Kim; Hansang Cho (IEEE Access, 2022)

AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning. - Jiwon Kim; Kwangrok Ryoo; Gyuseong Lee; Seokju Cho; Junyoung Seo; Daehwan Kim; Hansang Cho; Seungryong Kim (CoRR, 2022)

AE-NeRF: Auto-Encoding Neural Radiance Fields for 3D-Aware Object Manipulation. - Mira Kim; Jaehoon Ko; Kyusun Cho; Junmyeong Choi; Daewon Choi; Seungryong Kim (CoRR, 2022)

LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data. - Jihye Park; Soohyun Kim; Sunwoo Kim; Jaejun Yoo 001; Youngjung Uh; Seungryong Kim (CoRR, 2022)

Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence. - Sunghwan Hong; Seokju Cho; Seungryong Kim; Stephen Lin 001 (CoRR, 2022)

DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models. - Gyeongnyeon Kim; Wooseok Jang; Gyuseong Lee; Susung Hong; Junyoung Seo; Seungryong Kim (CoRR, 2022)

Semi-Supervised Learning of Monocular Depth Estimation via Consistency Regularization with K-way Disjoint Masking. - Jongbeom Baek; Gyeongnyeon Kim; Seonghoon Park 002; Honggyu An; Matteo Poggi; Seungryong Kim (CoRR, 2022)

DiffFace: Diffusion-based Face Swapping with Facial Guidance. - Kihong Kim; Yunho Kim; Seokju Cho; Junyoung Seo; Jisu Nam; Kyuchul Lee; Seungryong Kim; Kwanghee Lee (CoRR, 2022)

Pyramidal Semantic Correspondence Networks. - Sangryul Jeon; Seungryong Kim; Dongbo Min; Kwanghoon Sohn (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

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; Stefano Mattoccia (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Memory-Guided Image De-Raining Using Time-Lapse Data. - Jaehoon Cho; Seungryong Kim; Kwanghoon Sohn (IEEE Trans. Image Process., 2022)

Modeling Object Dissimilarity for Deep Saliency Prediction. - Bahar Aydemir; Deblina Bhattacharjee; Tong Zhang 023; Seungryong Kim; Mathieu Salzmann; Sabine Süsstrunk (Trans. Mach. Learn. Res., 2022)

MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation. - Junyoung Seo; Gyuseong Lee; Seokju Cho; Jiyoung Lee; Seungryong Kim (AAAI, 2023)

PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-Identification. - Minsu Kim; Seungryong Kim; Jungin Park; Seongheon Park; Kwanghoon Sohn (CVPR, 2023)

LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data. - Jihye Park; Sunwoo Kim; Soohyun Kim; Seokju Cho; Jaejun Yoo 001; Youngjung Uh; Seungryong Kim (CVPR, 2023)

Improving Sample Quality of Diffusion Models Using Self-Attention Guidance. - Susung Hong; Gyuseong Lee; Wooseok Jang; Seungryong Kim (ICCV, 2023)

Image Guided Inpainting with Parameter Efficient Learning. - Sangbeom Lim; Seungryong Kim (ICCV (Workshops), 2023)

GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency. - Minseop Kwak; Jiuhn Song; Seungryong Kim (ICML, 2023)

Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation. - Susung Hong; Donghoon Ahn; Seungryong Kim (NeurIPS, 2023)

DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation. - Jiuhn Song; Seonghoon Park 002; Honggyu An; Seokju Cho; Minseop Kwak; Sungjin Cho; Seungryong Kim (NeurIPS, 2023)

3D GAN Inversion with Pose Optimization. - Jaehoon Ko; Kyusun Cho; Daewon Choi; Kwangrok Ryoo; Seungryong Kim (WACV, 2023)

6D Object Pose Estimation Using a Particle Filter With Better Initialization. - GiJae Lee; Jun-Sik Kim 001; Seungryong Kim; Kanggeon Kim (IEEE Access, 2023)

You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona. - Jungwoo Lim; Myunghoon Kang; Yuna Hur; Seungwon Jung; Jinsung Kim; Yoonna Jang; Dongyub Lee; Hyesung Ji; Dong-Hoon Shin; Seungryong Kim; Heuiseok Lim (CoRR, 2023)

ExtremeNeRF: Few-shot Neural Radiance Fields Under Unconstrained Illumination. - SeokYeong Lee; Junyong Choi; Seungryong Kim; Ig-Jae Kim; Junghyun Cho (CoRR, 2023)

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation. - Seokju Cho; Heeseong Shin; Sunghwan Hong; Seungjun An; Seungjun Lee; Anurag Arnab; Paul Hongsuck Seo; Seungryong Kim (CoRR, 2023)

Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation. - Susung Hong; Donghoon Ahn; Seungryong Kim (CoRR, 2023)

Panoramic Image-to-Image Translation. - Soohyun Kim; Junho Kim; Taekyung Kim 002; Hwan Heo; Seungryong Kim; Jiyoung Lee; Jin-Hwa Kim (CoRR, 2023)

Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation. - Susung Hong; Junyoung Seo; Sunghwan Hong; Heeseong Shin; Seungryong Kim (CoRR, 2023)

DiffMatch: Diffusion Model for Dense Matching. - Jisu Nam; Gyuseong Lee; Sunwoo Kim; Inès Hyeonsu Kim; Hyoungwon Cho; Seyeon Kim; Seungryong Kim (CoRR, 2023)

DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation. - Jiuhn Song; Seonghoon Park 002; Honggyu An; Seokju Cho; Minseop Kwak; Sungjin Cho; Seungryong Kim (CoRR, 2023)

User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques. - Sunwoo Kim; Wooseok Jang; Hyunsu Kim; Junho Kim; Yunjey Choi; Seungryong Kim; Gayeong Lee (CoRR, 2023)

Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters. - Gyuseong Lee; Wooseok Jang; Jin Hyeon Kim; Jaewoo Jung; Seungryong Kim (CoRR, 2023)

Match me if you can: Semantic Correspondence Learning with Unpaired Images. - Jiwon Kim; Byeongho Heo; Sangdoo Yun; Seungryong Kim; Dongyoon Han (CoRR, 2023)

Self-Evolving Neural Radiance Fields. - Jaewoo Jung; Jisang Han; Jiwon Kang; Seongchan Kim; Minseop Kwak; Seungryong Kim (CoRR, 2023)

Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs. - Sunghwan Hong; Jaewoo Jung; Heeseong Shin; Jiaolong Yang; Seungryong Kim; Chong Luo (CoRR, 2023)

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 (CoRR, 2023)

Context Enhanced Transformer for Single Image Object Detection. - Seungjun An; Seonghoon Park 002; Gyeongnyeon Kim; Jeongyeol Baek; Byeongwon Lee; Seungryong Kim (CoRR, 2023)

Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation. - Sunok Kim; Seungryong Kim; Dongbo Min; Pascal Frossard; Kwanghoon Sohn (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CATs++: Boosting Cost Aggregation With Convolutions and Transformers. - Seokju Cho; Sunghwan Hong; Seungryong Kim (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Context Enhanced Transformer for Single Image Object Detection in Video Data. - Seungjun An; Seonghoon Park 002; Gyeongnyeon Kim; Jeongyeol Baek; Byeongwon Lee; Seungryong Kim (AAAI, 2024)

Few-Shot Neural Radiance Fields under Unconstrained Illumination. - SeokYeong Lee; Junyong Choi; Seungryong Kim; Ig-Jae Kim; Junghyun Cho (AAAI, 2024)

Match Me If You Can: Semi-supervised Semantic Correspondence Learning with Unpaired Images. - Jiwon Kim; Byeongho Heo; Sangdoo Yun; Seungryong Kim; Dongyoon Han (ACCV (6), 2024)

FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking. - Seokju Cho; Jiahui Huang; Seungryong Kim; Joon-Young Lee (CVPR, 2024)

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation. - Seokju Cho; Heeseong Shin; Sunghwan Hong; Anurag Arnab; Paul Hongsuck Seo; Seungryong Kim (CVPR, 2024)

Unifying Correspondence, Pose and NeRF for Generalized Pose-Free Novel View Synthesis. - Sunghwan Hong; Jaewoo Jung; Heeseong Shin; Jiaolong Yang; Seungryong Kim; Chong Luo (CVPR, 2024)

DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization. - Jisu Nam; Heesu Kim; DongJae Lee; Siyoon Jin; Seungryong Kim; Seunggyu Chang (CVPR, 2024)

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 (ECCV (73), 2024)

Local All-Pair Correspondence for Point Tracking. - Seokju Cho; Jiahui Huang; Jisu Nam; Honggyu An; Seungryong Kim; Joon-Young Lee (ECCV (10), 2024)

Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation. - Kihong Kim; Haneol Lee; Jihye Park; Seyeon Kim; Kwanghee Lee; Seungryong Kim; Jaejun Yoo 001 (ECCV (52), 2024)

Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence. - Sunghwan Hong; Seokju Cho; Seungryong Kim; Stephen Lin 001 (ICLR, 2024)

Diffusion Model for Dense Matching. - Jisu Nam; Gyuseong Lee; Sunwoo Kim; Hyeonsu Kim; Hyoungwon Cho; Seyeon Kim; Seungryong Kim (ICLR, 2024)

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation. - Junyoung Seo; Wooseok Jang; Minseop Kwak; Inès Hyeonsu Kim; Jaehoon Ko; Junho Kim; Jin-Hwa Kim; Jiyoung Lee; Seungryong Kim (ICLR, 2024)

Retrieval-Augmented Score Distillation for Text-to-3D Generation. - Junyoung Seo; Susung Hong; Wooseok Jang; Inès Hyeonsu Kim; Minseop Kwak; Doyup Lee; Seungryong Kim (ICML, 2024)

MaskingDepth: Masked Consistency Regularization for Semi-Supervised Monocular Depth Estimation. - Jongbeom Baek; Gyeongnyeon Kim; Seonghoon Park 002; Honggyu An; Matteo Poggi; Seungryong Kim (IROS, 2024)

HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning. - Gyudong Kim; Mehdi Ghasemi 003; Soroush Heidari; Seungryong Kim; Young Geun Kim 001; Sarma B. K. Vrudhula; Carole-Jean Wu (MLSys, 2024)

GaussianTalker: Real-Time Talking Head Synthesis with 3D Gaussian Splatting. - Kyusun Cho; Joungbin Lee; Heeji Yoon; Yeobin Hong; Jaehoon Ko; Sangjun Ahn; Seungryong Kim (ACM Multimedia, 2024)

GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping. - Junyoung Seo; Kazumi Fukuda; Takashi Shibuya 001; Takuya Narihira; Naoki Murata; Shoukang Hu; Chieh-Hsin Lai; Seungryong Kim; Yuki Mitsufuji (NeurIPS, 2024)

Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels. - Heeseong Shin; Chaehyun Kim; Sunghwan Hong; Seokju Cho; Anurag Arnab; Paul Hongsuck Seo; Seungryong Kim (NeurIPS, 2024)

LatentSwap: An Efficient Latent Code Mapping Framework for Face Swapping. - Changho Choi; Minho Kim; Junhyeok Lee 001; Hyoung-Kyu Song 002; Younggeun Kim; Seungryong Kim (CoRR, 2024)

Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting. - Jaewoo Jung; Jisang Han; Honggyu An; Jiwon Kang; Seonghoon Park 002; Seungryong Kim (CoRR, 2024)

Talk3D: High-Fidelity Talking Portrait Synthesis via Personalized 3D Generative Prior. - Jaehoon Ko; Kyusun Cho; Joungbin Lee; Heeji Yoon; Sangmin Lee; Sangjun Ahn; Seungryong Kim (CoRR, 2024)

GaussianTalker: Real-Time High-Fidelity Talking Head Synthesis with Audio-Driven 3D Gaussian Splatting. - Kyusun Cho; Joungbin Lee; Heeji Yoon; Yeobin Hong; Jaehoon Ko; Sangjun Ahn; Seungryong Kim (CoRR, 2024)

Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification. - Inès Hyeonsu Kim; Joungbin Lee; Soowon Son; Woojeong Jin 002; Kyusun Cho; Junyoung Seo; Minseop Kwak; Seokju Cho; JeongYeol Baek; Byeongwon Lee; Seungryong Kim (CoRR, 2024)

Geometry-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency Modeling. - Minseop Kwak; Donghoon Ahn; Inès Hyeonsu Kim; Jin-Hwa Kim; Seungryong Kim (CoRR, 2024)

PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting. - Sunghwan Hong; Jaewoo Jung; Heeseong Shin; Jisang Han; Jiaolong Yang; Chong Luo; Seungryong Kim (CoRR, 2024)

Referring Video Object Segmentation via Language-aligned Track Selection. - Seongchan Kim; Woojeong Jin 002; Sangbeom Lim; Heeji Yoon; Hyunwook Choi; Seungryong Kim (CoRR, 2024)

Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis. - Siyoon Jin; Jisu Nam; Jiyoung Kim; Dahyun Chung; Yeong-Seok Kim; Joonhyung Park; Heonjeong Chu; Seungryong Kim (CoRR, 2024)

A Noise is Worth Diffusion Guidance. - Donghoon Ahn; Jiwon Kang; Sanghyun Lee; Jaewon Min; Minjae Kim; Wooseok Jang; Hyoungwon Cho; Sayak Paul; Seonhwa Kim; Eunju Cha; Kyong Hwan Jin; Seungryong Kim (CoRR, 2024)

Cross-View Completion Models are Zero-shot Correspondence Estimators. - Honggyu An; Jinhyeon Kim; Seonghoon Park 002; Jaewoo Jung; Jisang Han; Sunghwan Hong; Seungryong Kim (CoRR, 2024)

Depth-aware guidance with self-estimated depth representations of diffusion models. - Gyeongnyeon Kim; Wooseok Jang; Gyuseong Lee; Susung Hong; Junyoung Seo; Seungryong Kim (Pattern Recognit., 2024)

Discriminative action tubelet detector for weakly-supervised action detection. - Jiyoung Lee; Seungryong Kim; Sunok Kim; Kwanghoon Sohn (Pattern Recognit., 2024)

Controllable Style Transfer via Test-time Training of Implicit Neural Representation. - Sunwoo Kim; Youngjo Min; Younghun Jung; Seungryong Kim (Pattern Recognit., 2024)

InstaFormer++: Multi-Domain Instance-Aware Image-to-Image Translation with Transformer. - Soohyun Kim; Jongbeom Baek; Jihye Park; Eunjae Ha; Homin Jung; Taeyoung Lee; Seungryong Kim (Int. J. Comput. Vis., 2024)

MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation. - Seyeon Kim; Siyoon Jin; Jihye Park; Kihong Kim; Jiyoung Kim; Jisu Nam; Seungryong Kim (AAAI, 2025)

Multi-Granularity Video Object Segmentation. - Sangbeom Lim; Seongchan Kim; Seungjun An; Seokju Cho; Paul Hongsuck Seo; Seungryong Kim (AAAI, 2025)

Cross-View Completion Models are Zero-shot Correspondence Estimators. - Honggyu An; Jin Hyeon Kim; Seonghoon Park 002; Jaewoo Jung; Jisang Han; Sunghwan Hong; Seungryong Kim (CVPR, 2025)

Seurat: From Moving Points to Depth. - Seokju Cho; Jiahui Huang; Seungryong Kim; Joon-Young Lee (CVPR, 2025)

ControlFace: Harnessing Facial Parametric Control for Face Rigging. - Wooseok Jang; Youngjun Hong; Geonho Cha; Seungryong Kim (CVPR, 2025)

Exploring Temporally-Aware Features for Point Tracking. - Inès Hyeonsu Kim; Seokju Cho; Jiahui Huang; Jung Yi; Joon-Young Lee; Seungryong Kim (CVPR, 2025)

Identity-preserving Distillation Sampling by Fixed-Point Iterator. - Seonhwa Kim; Jiwon Kim; Soobin Park; Donghoon Ahn; Jiwon Kang; Seungryong Kim; Kyong Hwan Jin; Eunju Cha (CVPR, 2025)

Mixture of Submodules for Domain Adaptive Person Search. - Minsu Kim; Seungryong Kim; Kwanghoon Sohn (CVPR, 2025)

Visual Persona: Foundation Model for Full-Body Human Customization. - Jisu Nam; Soowon Son; Zhan Xu; Jing Shi 005; Difan Liu; Feng Liu 015; Seungryong Kim; Yang Zhou 009 (CVPR, 2025)

Domain Generalization using Large Pretrained Models with Mixture-of-Adapters. - Gyuseong Lee; Wooseok Jang; Jinhyeon Kim; Jaewoo Jung; Seungryong Kim (WACV, 2025)

Semantically complex audio to video generation with audio source separation. - Sieun Kim; Jaehwan Jeong; Sumin In; Seung Hyun Lee; Seungryong Kim; Saerom Kim; Wooyeol Baek; Sang Ho Yoon; Eugenio Culurciello; Sangpil Kim (Eng. Appl. Artif. Intell., 2025)

DiffFace: Diffusion-based face swapping with facial guidance. - Kihong Kim; Yunho Kim; Seokju Cho; Junyoung Seo; Jisu Nam; Kychul Lee; Seungryong Kim; Kwanghee Lee (Pattern Recognit., 2025)

SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels. - Daehwan Kim; Kwangrok Ryoo; Hansang Cho; Seungryong Kim (Int. J. Comput. Vis., 2025)

Visual Persona: Foundation Model for Full-Body Human Customization. - Jisu Nam; Soowon Son; Zhan Xu; Jing Shi 005; Difan Liu; Feng Liu 015; Aashish Misraa; Seungryong Kim; Yang Zhou 009 (CoRR, 2025)

S^4M: Boosting Semi-Supervised Instance Segmentation with SAM. - Heeji Yoon; Heeseong Shin; Eunbeen Hong; Hyunwook Choi; Hansang Cho; Daun Jeong; Seungryong Kim (CoRR, 2025)

URECA: Unique Region Caption Anything. - Sangbeom Lim; Junwan Kim; Heeji Yoon; Jaewoo Jung; Seungryong Kim (CoRR, 2025)

D^2USt3R: Enhancing 3D Reconstruction with 4D Pointmaps for Dynamic Scenes. - Jisang Han; Honggyu An; Jaewoo Jung; Takuya Narihira; Junyoung Seo; Kazumi Fukuda; Chaehyun Kim; Sunghwan Hong; Yuki Mitsufuji; Seungryong Kim (CoRR, 2025)

InterRVOS: Interaction-aware Referring Video Object Segmentation. - Woojeong Jin 002; Seongchan Kim; Seungryong Kim (CoRR, 2025)

Active Test-time Vision-Language Navigation. - Heeju Ko; Sungjune Kim; Gyeongrok Oh; Jeongyoon Yoon; Honglak Lee; Sujin Jang; Seungryong Kim; Sangpil Kim (CoRR, 2025)

Text-Aware Image Restoration with Diffusion Models. - Jaewon Min; Jin Hyeon Kim; Paul Hyunbin Cho; Jaeeun Lee; Jihye Park; Minkyu Park; Sangpil Kim; Hyunhee Park; Seungryong Kim (CoRR, 2025)

Fine-Grained Perturbation Guidance via Attention Head Selection. - Donghoon Ahn; Jiwon Kang; Sanghyun Lee; Minjae Kim; Jaewon Min; Wooseok Jang; Saungwu Lee; Sayak Paul; Susung Hong; Seungryong Kim (CoRR, 2025)

Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation. - Minseop Kwak; Junho Kim; Sangdoo Yun; Dongyoon Han; Taekyoung Kim; Seungryong Kim; Jin-Hwa Kim (CoRR, 2025)

Vid-CamEdit: Video Camera Trajectory Editing with Generative Rendering from Estimated Geometry. - Junyoung Seo; Jisang Han; Jaewoo Jung; Siyoon Jin; Joungbin Lee; Takuya Narihira; Kazumi Fukuda; Takashi Shibuya 001; Donghoon Ahn; Shoukang Hu; Seungryong Kim; Yuki Mitsufuji (CoRR, 2025)

Emergent Temporal Correspondences from Video Diffusion Transformers. - Jisu Nam; Soowon Son; Dahyun Chung; Jiyoung Kim; Siyoon Jin; Junhwa Hur; Seungryong Kim (CoRR, 2025)

PLOT: Pseudo-Labeling via Video Object Tracking for Scalable Monocular 3D Object Detection. - SeokYeong Lee; Sithu Aung; Junyong Choi; Seungryong Kim; Ig-Jae Kim; Junghyun Cho (CoRR, 2025)

Learning to Track Any Points from Human Motion. - Inès Hyeonsu Kim; Seokju Cho; Jahyeok Koo; Junghyun Park; Jiahui Huang; Joon-Young Lee; Seungryong Kim (CoRR, 2025)

Correction: SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels. - Daehwan Kim; Kwangrok Ryoo; Hansang Cho; Seungryong Kim (Int. J. Comput. Vis., 2025)