Radiometric Alignment of Image Sequences. - Seon Joo Kim; Marc Pollefeys (CVPR (1), 2004)

High-Resolution Multiscale Panoramic Mosaics from Pan-Tilt-Zoom Cameras. - Sudipta N. Sinha; Marc Pollefeys; Seon Joo Kim (ICVGIP, 2004)

Joint Feature Tracking and Radiometric Calibration from Auto-Exposure Video. - Seon Joo Kim; Jan-Michael Frahm; Marc Pollefeys (ICCV, 2007)

Radiometric calibration with illumination change for outdoor scene analysis. - Seon Joo Kim; Jan-Michael Frahm; Marc Pollefeys (CVPR, 2008)

Detailed Real-Time Urban 3D Reconstruction from Video. - Marc Pollefeys; David Nistér; Jan-Michael Frahm; Amir Akbarzadeh; Philippos Mordohai; Brian Clipp; Chris Engels; David Gallup; Seon Joo Kim; Paul Merrell; C. Salmi; Sudipta N. Sinha; et al. (Int. J. Comput. Vis., 2008)

Robust Radiometric Calibration and Vignetting Correction. - Seon Joo Kim; Marc Pollefeys (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Radiometric calibration methods from image sequences. - Seon Joo Kim (2008)

A model change detection approach to dynamic scene modeling. - Seon Joo Kim; Gianfranco Doretto; Jens Rittscher; Peter H. Tu; Nils Krahnstoever; Marc Pollefeys (AVSS, 2009)

Colorization for Single Image Super Resolution. - Shuaicheng Liu; Michael S. Brown; Seon Joo Kim; Yu-Wing Tai (ECCV (6), 2010)

Joint radiometric calibration and feature tracking system with an application to stereo. - Seon Joo Kim; David Gallup; Jan-Michael Frahm; Marc Pollefeys (Comput. Vis. Image Underst., 2010)

Interactive Visualization of Hyperspectral Images of Historical Documents. - Seon Joo Kim; Shaojie Zhuo; Fanbo Deng; Chi-Wing Fu; Michael S. Brown (IEEE Trans. Vis. Comput. Graph., 2010)

Constructing image panoramas using dual-homography warping. - Junhong Gao; Seon Joo Kim; Michael S. Brown (CVPR, 2011)

Revisiting radiometric calibration for color computer vision. - Hai Ting Lin; Seon Joo Kim; Sabine Süsstrunk; Michael S. Brown (ICCV, 2011)

Visual enhancement of old documents with hyperspectral imaging. - Seon Joo Kim; Fanbo Deng; Michael S. Brown (Pattern Recognit., 2011)

Color-Aware Regularization for Gradient Domain Image Manipulation. - Fanbo Deng; Seon Joo Kim; Yu-Wing Tai; Michael S. Brown (ACCV (4), 2012)

Nonlinear camera response functions and image deblurring. - Sunyeong Kim; Yu-Wing Tai; Seon Joo Kim; Michael S. Brown; Yasuyuki Matsushita (CVPR, 2012)

Nonuniform Lattice Regression for Modeling the Camera Imaging Pipeline. - Hai Ting Lin; Zheng Lu 002; Seon Joo Kim; Michael S. Brown (ECCV (1), 2012)

Brush-and-drag: a multi-touch interface for photo triaging. - Seon Joo Kim; Hongwei Ng; Stefan Winkler 001; Peng Song 001; Chi-Wing Fu (Mobile HCI (Companion), 2012)

Creating Picture Legends for Group Photos. - Junhong Gao; Seon Joo Kim; Michael S. Brown (Comput. Graph. Forum, 2012)

A New In-Camera Imaging Model for Color Computer Vision and Its Application. - Seon Joo Kim; Hai Ting Lin; Zheng Lu 002; Sabine Süsstrunk; Stephen Lin 001; Michael S. Brown (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Fluttering Pattern Generation Using Modified Legendre Sequence for Coded Exposure Imaging. - Hae-Gon Jeon; Joon-Young Lee; Yudeog Han; Seon Joo Kim; In-So Kweon (ICCV, 2013)

Nonlinear Camera Response Functions and Image Deblurring: Theoretical Analysis and Practice. - Yu-Wing Tai; Xiaogang Chen; Sunyeong Kim; Seon Joo Kim; Feng Li 005; Jie Yang 002; Jingyi Yu; Yasuyuki Matsushita; Michael S. Brown (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

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

Color Transfer Using Probabilistic Moving Least Squares. - Youngbae Hwang; Joon-Young Lee; In-So Kweon; Seon Joo Kim (CVPR, 2014)

Single-shot High Dynamic Range Imaging Using Coded Electronic Shutter. - Hojin Cho; Seon Joo Kim; Seungyong Lee 001 (Comput. Graph. Forum, 2014)

Complementary Sets of Shutter Sequences for Motion Deblurring. - Hae-Gon Jeon; Joon-Young Lee; Yudeog Han; Seon Joo Kim; In-So Kweon (ICCV, 2015)

A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising. - Seonghyeon Nam; Youngbae Hwang; Yasuyuki Matsushita; Seon Joo Kim (CVPR, 2016)

Do It Yourself Hyperspectral Imaging with Everyday Digital Cameras. - Seoung Wug Oh; Michael S. Brown; Marc Pollefeys; Seon Joo Kim (CVPR, 2016)

Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network. - Seonghyeon Nam; Seon Joo Kim (ICCV, 2017)

Building Emotional Machines: Recognizing Image Emotions through Deep Neural Networks. - Hye-Rin Kim; Seon Joo Kim; In-Kwon Lee (CoRR, 2017)

Deep Semantics-Aware Photo Adjustment. - Seonghyeon Nam; Seon Joo Kim (CoRR, 2017)

Generating Fluttering Patterns with Low Autocorrelation for Coded Exposure Imaging. - Hae-Gon Jeon; Joon-Young Lee; Yudeog Han; Seon Joo Kim; In So Kweon (Int. J. Comput. Vis., 2017)

Approaching the computational color constancy as a classification problem through deep learning. - Seoung Wug Oh; Seon Joo Kim (Pattern Recognit., 2017)

Multi-Image Deblurring Using Complementary Sets of Fluttering Patterns. - Hae-Gon Jeon; Joon-Young Lee; Yudeog Han; Seon Joo Kim; In So Kweon (IEEE Trans. Image Process., 2017)

Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation. - Younghyun Jo; Seoung Wug Oh; Jaeyeon Kang; Seon Joo Kim (CVPR, 2018)

Fast Video Object Segmentation by Reference-Guided Mask Propagation. - Seoung Wug Oh; Joon-Young Lee; Kalyan Sunkavalli; Seon Joo Kim (CVPR, 2018)

EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth From Light Field Images. - Changha Shin; Hae-Gon Jeon; Youngjin Yoon; In So Kweon; Seon Joo Kim (CVPR, 2018)

Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks. - Minho Shim; Young Hwi Kim; Kyungmin Kim 002; Seon Joo Kim (ECCV (15), 2018)

Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language. - Seonghyeon Nam; Yunji Kim; Seon Joo Kim (NeurIPS, 2018)

Building Emotional Machines: Recognizing Image Emotions Through Deep Neural Networks. - Hye-Rin Kim; Yeong-Seok Kim; Seon Joo Kim; In-Kwon Lee (IEEE Trans. Multim., 2018)

End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image. - Seonghyeon Nam; Chongyang Ma; Menglei Chai; William Brendel; Ning Xu 007; Seon Joo Kim (CVPR, 2019)

Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks. - Seoung Wug Oh; Joon-Young Lee; Ning Xu 007; Seon Joo Kim (CVPR, 2019)

Copy-and-Paste Networks for Deep Video Inpainting. - Sungho Lee; Seoung Wug Oh; DaeYeun Won; Seon Joo Kim (ICCV, 2019)

Onion-Peel Networks for Deep Video Completion. - Seoung Wug Oh; Sungho Lee; Joon-Young Lee; Seon Joo Kim (ICCV, 2019)

Video Object Segmentation Using Space-Time Memory Networks. - Seoung Wug Oh; Joon-Young Lee; Ning Xu 007; Seon Joo Kim (ICCV, 2019)

Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction. - Yunji Kim; Seonghyeon Nam; In Cho; Seon Joo Kim (NeurIPS, 2019)

Probabilistic moving least squares with spatial constraints for nonlinear color transfer between images. - Youngbae Hwang; Joon-Young Lee; In So Kweon; Seon Joo Kim (Comput. Vis. Image Underst., 2019)

Investigating Loss Functions for Extreme Super-Resolution. - Younghyun Jo; Sejong Yang; Seon Joo Kim (CVPR Workshops, 2020)

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. - Kai Zhang 008; Shuhang Gu; Radu Timofte; Taizhang Shang; Qiuju Dai; Shengchen Zhu; Tong Yang; Yandong Guo; Younghyun Jo; Sejong Yang; Seon Joo Kim; Lin Zha; et al. (CVPR Workshops, 2020)

Cross-Identity Motion Transfer for Arbitrary Objects Through Pose-Attentive Video Reassembling. - Subin Jeon; Seonghyeon Nam; Seoung Wug Oh; Seon Joo Kim (ECCV (24), 2020)

Deep Space-Time Video Upsampling Networks. - Jaeyeon Kang; Younghyun Jo; Seoung Wug Oh; Peter Vajda; Seon Joo Kim (ECCV (10), 2020)

Learning the Loss Functions in a Discriminative Space for Video Restoration. - Younghyun Jo; Jaeyeon Kang; Seoung Wug Oh; Seonghyeon Nam; Peter Vajda; Seon Joo Kim (CoRR, 2020)

DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval. - Gunhee Nam; Seoung Wug Oh; Joon-Young Lee; Seon Joo Kim (CoRR, 2020)

Practical Single-Image Super-Resolution Using Look-Up Table. - Younghyun Jo; Seon Joo Kim (CVPR, 2021)

Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation. - Younghyun Jo; Seoung Wug Oh; Peter Vajda; Seon Joo Kim (CVPR, 2021)

SRFlow-DA: Super-Resolution Using Normalizing Flow With Deep Convolutional Block. - Younghyun Jo; Sejong Yang; Seon Joo Kim (CVPR Workshops, 2021)

Rethinking the Self-Attention in Vision Transformers. - Kyungmin Kim 002; Bichen Wu; Xiaoliang Dai; Peizhao Zhang; Zhicheng Yan 001; Peter Vajda; Seon Joo Kim (CVPR Workshops, 2021)

Polygonal Point Set Tracking. - Gunhee Nam; Miran Heo; Seoung Wug Oh; Joon-Young Lee; Seon Joo Kim (CVPR, 2021)

CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization. - Hyolim Kang; Kyungmin Kim 002; Yumin Ko; Seon Joo Kim (ICCV, 2021)

Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm under Mixed Illumination. - Dongyoung Kim; Jinwoo Kim; Seonghyeon Nam; Dongwoo Lee; Yeonkyung Lee; Nahyup Kang; Hyong-Euk Lee; ByungIn Yoo; Jae-Joon Han; Seon Joo Kim (ICCV, 2021)

Video Instance Segmentation using Inter-Frame Communication Transformers. - Sukjun Hwang; Miran Heo; Seoung Wug Oh; Seon Joo Kim (NeurIPS, 2021)

Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach. - Hyolim Kang; Jinwoo Kim; Kyungmin Kim 002; Taehyun Kim; Seon Joo Kim (CoRR, 2021)

Temporally smooth online action detection using cycle-consistent future anticipation. - Young Hwi Kim; Seonghyeon Nam; Seon Joo Kim (Pattern Recognit., 2021)

ATTIQA: Generalizable Image Quality Feature Extractor Using Attribute-Aware Pretraining. - Daekyu Kwon; Dongyoung Kim; Sehwan Ki; Younghyun Jo; Hyong-Euk Lee; Seon Joo Kim (ACCV (4), 2022)

VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation. - Su Ho Han; Sukjun Hwang; Seoung Wug Oh; Yeonchool Park; Hyunwoo Kim; Min-Jung Kim 001; Seon Joo Kim (CVPR, 2022)

Integrating Pose and Mask Predictions for Multi-person in Videos. - Miran Heo; Sukjun Hwang; Seoung Wug Oh; Joon-Young Lee; Seon Joo Kim (CVPR Workshops, 2022)

Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos. - Sukjun Hwang; Miran Heo; Seoung Wug Oh; Seon Joo Kim (CVPR, 2022)

UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection. - Hyolim Kang; Jinwoo Kim; Taehyun Kim; Seon Joo Kim (CVPR, 2022)

Error Compensation Framework for Flow-Guided Video Inpainting. - Jaeyeon Kang; Seoung Wug Oh; Seon Joo Kim (ECCV (15), 2022)

A Sliding Window Scheme for Online Temporal Action Localization. - Young Hwi Kim; Hyolim Kang; Seon Joo Kim (ECCV (34), 2022)

VITA: Video Instance Segmentation via Object Token Association. - Miran Heo; Sukjun Hwang; Seoung Wug Oh; Joon-Young Lee; Seon Joo Kim (NeurIPS, 2022)

ComMU: Dataset for Combinatorial Music Generation. - Hyun Lee; Taehyun Kim; Hyolim Kang; Minjoo Ki; Hyeonchan Hwang; Kwanho Park; Sharang Han; Seon Joo Kim (NeurIPS, 2022)

Dense Interspecies Face Embedding. - Sejong Yang; Subin Jeon; Seonghyeon Nam; Seon Joo Kim (NeurIPS, 2022)

Single-shot Path Integrated Panoptic Segmentation. - Sukjun Hwang; Seoung Wug Oh; Seon Joo Kim (WACV, 2022)

Space-Time Memory Networks for Video Object Segmentation With User Guidance. - Seoung Wug Oh; Joon-Young Lee; Ning Xu 007; Seon Joo Kim (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

2PESNet: Towards online processing of temporal action localization. - Young Hwi Kim; Seonghyeon Nam; Seon Joo Kim (Pattern Recognit., 2022)

A Generalized Framework for Video Instance Segmentation. - Miran Heo; Sukjun Hwang; Jeongseok Hyun; Hanjung Kim; Seoung Wug Oh; Joon-Young Lee; Seon Joo Kim (CVPR, 2023)

Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks. - Hyolim Kang; Hanjung Kim; Joungbin An; Minsu Cho; Seon Joo Kim (CVPR, 2023)

Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning. - Jinwoo Kim; Janghyuk Choi; Ho-Jin Choi; Seon Joo Kim (CVPR, 2023)

MiniROAD: Minimal RNN Framework for Online Action Detection. - Joungbin An; Hyolim Kang; Su Ho Han; Ming-Hsuan Yang 001; Seon Joo Kim (ICCV, 2023)

Towards Interpretable Controllability in Object-Centric Learning. - Jinwoo Kim; Janghyuk Choi; Jaehyun Kang; Changyeon Lee; Ho-Jin Choi; Seon Joo Kim (CoRR, 2023)

Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing. - Dongyoung Kim; Jinwoo Kim; Junsang Yu 001; Seon Joo Kim (CVPR, 2024)

Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging. - In Cho; Hyunbo Shim; Seon Joo Kim (ECCV (43), 2024)

AIM 2024 Challenge on UHD Blind Photo Quality Assessment. - Vlad Hosu; Marcos V. Conde; Lorenzo Agnolucci; Nabajeet Barman; Saman Zadtootaghaj; Radu Timofte; Wei Sun 029; Weixia Zhang; Yuqin Cao; Linhan Cao; Jun Jia; Zijian Chen 001; et al. (ECCV Workshops (10), 2024)

Hierarchically Structured Neural Bones for Reconstructing Animatable Objects from Casual Videos. - Subin Jeon; In Cho; Minsu Kim; Woong Oh Cho; Seon Joo Kim (ECCV (10), 2024)

Accelerating Image Super-Resolution Networks with Pixel-Level Classification. - Jinho Jeong 003; Jinwoo Kim; Younghyun Jo; Seon Joo Kim (ECCV (3), 2024)

ActionSwitch: Class-Agnostic Detection of Simultaneous Actions in Streaming Videos. - Hyolim Kang; Jeongseok Hyun; Joungbin An; Youngjae Yu; Seon Joo Kim (ECCV (10), 2024)

VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement. - Hanjung Kim; Jaehyun Kang; Miran Heo; Sukjun Hwang; Seoung Wug Oh; Seon Joo Kim (ECCV (7), 2024)

Domain Reduction Strategy for Non-Line-of-Sight Imaging. - Hyunbo Shim; In Cho; Daekyu Kwon; Seon Joo Kim (ECCV (31), 2024)

CLIP-Guided Attribute Aware Pretraining for Generalizable Image Quality Assessment. - Daekyu Kwon; Dongyoung Kim; Sehwan Ki; Younghyun Jo; Hyong-Euk Lee; Seon Joo Kim (CoRR, 2024)

Object Aware Egocentric Online Action Detection. - Joungbin An; Yunsu Park; Hyolim Kang; Seon Joo Kim (CoRR, 2024)

4D Scaffold Gaussian Splatting for Memory Efficient Dynamic Scene Reconstruction. - Woong Oh Cho; In Cho; Seoha Kim; Jeongmin Bae 001; Youngjung Uh; Seon Joo Kim (CoRR, 2024)

IF-MDM: Implicit Face Motion Diffusion Model for High-Fidelity Realtime Talking Head Generation. - Sejong Yang; Seoung Wug Oh; Yang Zhou; Seon Joo Kim (CoRR, 2024)

Robust and Consistent Online Video Instance Segmentation via Instance Mask Propagation. - Miran Heo; Seoung Wug Oh; Seon Joo Kim; Joon-Young Lee (AAAI, 2025)

Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models. - Jinho Jeong 003; Sangmin Han; Jinwoo Kim; Seon Joo Kim (CVPR, 2025)

Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks. - Miran Heo; Min-Hung Chen; De-An Huang; Sifei Liu; Subhashree Radhakrishnan; Seon Joo Kim; Yu-Chiang Frank Wang; Ryo Hachiuma (CVPR, 2025)

ORIDa: Object-centric Real-world Image Composition Dataset. - Jinwoo Kim; Sangmin Han; Jinho Jeong 003; Jiwoo Choi; Dongyeoung Kim; Seon Joo Kim (CVPR, 2025)

Exploring Scalability of Self-Training for Open-Vocabulary Temporal Action Localization. - Jeongseok Hyun; Su Ho Han; Hyolim Kang; Joon-Young Lee; Seon Joo Kim (WACV, 2025)

Representing 3D Shapes With 64 Latent Vectors for 3D Diffusion Models. - In Cho; Youngbeom Yoo; Subin Jeon; Seon Joo Kim (CoRR, 2025)

CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancy. - Dongyoung Kim; Mahmoud Afifi; Dongyun Kim; Michael S. Brown; Seon Joo Kim (CoRR, 2025)

UniSkill: Imitating Human Videos via Cross-Embodiment Skill Representations. - Hanjung Kim; Jaehyun Kang; Hyolim Kang; Meedeum Cho; Seon Joo Kim; Youngwoon Lee (CoRR, 2025)

Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks. - Dongwoo Lee; Dong Bok Lee; Steven Adriaensen; Juho Lee; Sung Ju Hwang; Frank Hutter; Seon Joo Kim; Hae Beom Lee (CoRR, 2025)

ORIDa: Object-centric Real-world Image Composition Dataset. - Jinwoo Kim; Sangmin Han; Jinho Jeong 003; Jiwoo Choi; Dongyoung Kim; Seon Joo Kim (CoRR, 2025)

Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs. - Jeongseok Hyun; Sukjun Hwang; Su Ho Han; Taeoh Kim; Inwoong Lee; Dongyoon Wee; Joon-Young Lee; Seon Joo Kim; Minho Shim (CoRR, 2025)

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors. - Subin Jeon; In Cho; Junyoung Hong; Seon Joo Kim (CoRR, 2025)

APT: Improving Diffusion Models for High Resolution Image Generation with Adaptive Path Tracing. - Sangmin Han; Jinho Jeong 003; Jinwoo Kim; Seon Joo Kim (CoRR, 2025)

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors. - Minsu Kim; Subin Jeon; In Cho; Mijin Yoo; Seon Joo Kim (CoRR, 2025)