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2020 – today
- 2024
[c60]Dongyoung Kim, Jinwoo Kim, Junsang Yu, Seon Joo Kim:
Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing. CVPR 2024: 25512-25521- [c59]In Cho
, Hyunbo Shim, Seon Joo Kim:
Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging. ECCV (43) 2024: 72-89 - [c58]Hanjung Kim, Jaehyun Kang, Miran Heo, Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim:
VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement. ECCV (7) 2024: 93-109 - [i42]Dongyoung Kim, Jinwoo Kim, Junsang Yu, Seon Joo Kim:
Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing. CoRR abs/2402.18277 (2024) - [i41]Daekyu Kwon, Dongyoung Kim, Sehwan Ki, Younghyun Jo, Hyong-Euk Lee, Seon Joo Kim:
CLIP-Guided Attribute Aware Pretraining for Generalizable Image Quality Assessment. CoRR abs/2406.01020 (2024) - [i40]Joungbin An, Yunsu Park, Hyolim Kang, Seon Joo Kim:
Object Aware Egocentric Online Action Detection. CoRR abs/2406.01079 (2024) - [i39]Jeongseok Hyun, Su Ho Han, Hyolim Kang, Joon-Young Lee, Seon Joo Kim:
Exploring Scalability of Self-Training for Open-Vocabulary Temporal Action Localization. CoRR abs/2407.07024 (2024) - [i38]Hyolim Kang, Jeongseok Hyun, Joungbin An, Youngjae Yu, Seon Joo Kim:
ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos. CoRR abs/2407.12987 (2024) - [i37]In Cho, Hyunbo Shim, Seon Joo Kim:
Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging. CoRR abs/2407.18574 (2024) - [i36]Jinho Jeong, Jinwoo Kim, Younghyun Jo, Seon Joo Kim:
Accelerating Image Super-Resolution Networks with Pixel-Level Classification. CoRR abs/2407.21448 (2024) - [i35]Subin Jeon, In Cho, Minsu Kim, Woong Oh Cho, Seon Joo Kim:
Hierarchically Structured Neural Bones for Reconstructing Animatable Objects from Casual Videos. CoRR abs/2408.00351 (2024) - 2023
- [c57]Hyolim Kang, Hanjung Kim, Joungbin An, Minsu Cho, Seon Joo Kim:
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks. CVPR 2023: 6514-6523 - [c56]Miran Heo, Sukjun Hwang, Jeongseok Hyun, Hanjung Kim, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
A Generalized Framework for Video Instance Segmentation. CVPR 2023: 14623-14632 - [c55]Jinwoo Kim, Janghyuk Choi, Ho-Jin Choi, Seon Joo Kim:
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning. CVPR 2023: 19198-19207 - [c54]Joungbin An, Hyolim Kang, Su Ho Han, Ming-Hsuan Yang, Seon Joo Kim:
MiniROAD: Minimal RNN Framework for Online Action Detection. ICCV 2023: 10307-10316 - [i34]Jinwoo Kim, Janghyuk Choi, Ho-Jin Choi, Seon Joo Kim:
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning. CoRR abs/2303.17842 (2023) - [i33]Hyunbo Shim, In Cho, Daekyu Kwon, Seon Joo Kim:
Domain Reduction Strategy for Non Line of Sight Imaging. CoRR abs/2308.10269 (2023) - [i32]Jinwoo Kim, Janghyuk Choi, Jaehyun Kang, Changyeon Lee, Ho-Jin Choi, Seon Joo Kim:
Towards Interpretable Controllability in Object-Centric Learning. CoRR abs/2310.08929 (2023) - [i31]Hanjung Kim, Jaehyun Kang, Miran Heo, Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim:
VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement. CoRR abs/2312.04885 (2023) - 2022
- [j17]Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Space-Time Memory Networks for Video Object Segmentation With User Guidance. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 442-455 (2022) - [j16]Young Hwi Kim, Seonghyeon Nam, Seon Joo Kim:
2PESNet: Towards online processing of temporal action localization. Pattern Recognit. 131: 108871 (2022) - [c53]Miran Heo, Sukjun Hwang, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
Integrating Pose and Mask Predictions for Multi-person in Videos. CVPR Workshops 2022: 2656-2665 - [c52]Su Ho Han, Sukjun Hwang, Seoung Wug Oh, Yeonchool Park, Hyunwoo Kim, Min-Jung Kim, Seon Joo Kim:
VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation. CVPR 2022: 2886-2895 - [c51]Sukjun Hwang, Miran Heo, Seoung Wug Oh, Seon Joo Kim:
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos. CVPR 2022: 17031-17040 - [c50]Hyolim Kang, Jinwoo Kim, Taehyun Kim, Seon Joo Kim:
UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection. CVPR 2022: 20041-20050 - [c49]Jaeyeon Kang, Seoung Wug Oh, Seon Joo Kim:
Error Compensation Framework for Flow-Guided Video Inpainting. ECCV (15) 2022: 375-390 - [c48]Young Hwi Kim, Hyolim Kang, Seon Joo Kim:
A Sliding Window Scheme for Online Temporal Action Localization. ECCV (34) 2022: 653-669 - [c47]Miran Heo, Sukjun Hwang, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
VITA: Video Instance Segmentation via Object Token Association. NeurIPS 2022 - [c46]Hyun Lee, Taehyun Kim, Hyolim Kang, Minjoo Ki, Hyeonchan Hwang, Kwanho Park, Sharang Han, Seon Joo Kim:
ComMU: Dataset for Combinatorial Music Generation. NeurIPS 2022 - [c45]Sejong Yang, Subin Jeon, Seonghyeon Nam, Seon Joo Kim:
Dense Interspecies Face Embedding. NeurIPS 2022 - [c44]Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim:
Single-shot Path Integrated Panoptic Segmentation. WACV 2022: 1939-1948 - [i30]Sukjun Hwang, Miran Heo, Seoung Wug Oh, Seon Joo Kim:
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos. CoRR abs/2206.02116 (2022) - [i29]Miran Heo, Sukjun Hwang, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
VITA: Video Instance Segmentation via Object Token Association. CoRR abs/2206.04403 (2022) - [i28]Jaeyeon Kang, Seoung Wug Oh, Seon Joo Kim:
Error Compensation Framework for Flow-Guided Video Inpainting. CoRR abs/2207.10391 (2022) - [i27]Hyolim Kang, Hanjung Kim, Joungbin An, Minsu Cho, Seon Joo Kim:
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks. CoRR abs/2211.06023 (2022) - [i26]Miran Heo, Sukjun Hwang, Jeongseok Hyun, Hanjung Kim, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
A Generalized Framework for Video Instance Segmentation. CoRR abs/2211.08834 (2022) - [i25]Lee Hyun, Taehyun Kim, Hyolim Kang, Minjoo Ki, Hyeonchan Hwang, Kwanho Park, Sharang Han, Seon Joo Kim:
ComMU: Dataset for Combinatorial Music Generation. CoRR abs/2211.09385 (2022) - 2021
- [j15]Young Hwi Kim, Seonghyeon Nam, Seon Joo Kim:
Temporally smooth online action detection using cycle-consistent future anticipation. Pattern Recognit. 116: 107954 (2021) - [c43]Younghyun Jo, Sejong Yang, Seon Joo Kim:
SRFlow-DA: Super-Resolution Using Normalizing Flow With Deep Convolutional Block. CVPR Workshops 2021: 364-372 - [c42]Younghyun Jo, Seon Joo Kim:
Practical Single-Image Super-Resolution Using Look-Up Table. CVPR 2021: 691-700 - [c41]Kyungmin Kim, Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Peter Vajda, Seon Joo Kim:
Rethinking the Self-Attention in Vision Transformers. CVPR Workshops 2021: 3071-3075 - [c40]Gunhee Nam, Miran Heo, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
Polygonal Point Set Tracking. CVPR 2021: 5569-5578 - [c39]Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim:
Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation. CVPR 2021: 16236-16245 - [c38]Dongyoung Kim, Jinwoo Kim, Seonghyeon Nam, Dongwoo Lee, Yeonkyung Lee, Nahyup Kang, Hyong-Euk Lee, ByungIn Yoo, Jae-Joon Han, Seon Joo Kim:
Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm under Mixed Illumination. ICCV 2021: 2390-2399 - [c37]Hyolim Kang, Kyungmin Kim, Yumin Ko, Seon Joo Kim:
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization. ICCV 2021: 13709-13718 - [c36]Sukjun Hwang, Miran Heo, Seoung Wug Oh, Seon Joo Kim:
Video Instance Segmentation using Inter-Frame Communication Transformers. NeurIPS 2021: 13352-13363 - [i24]Young Hwi Kim, Seonghyeon Nam, Seon Joo Kim:
Temporally smooth online action detection using cycle-consistent future anticipation. CoRR abs/2104.08030 (2021) - [i23]Gunhee Nam, Miran Heo, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
Polygonal Point Set Tracking. CoRR abs/2105.14584 (2021) - [i22]Sukjun Hwang, Miran Heo, Seoung Wug Oh, Seon Joo Kim:
Video Instance Segmentation using Inter-Frame Communication Transformers. CoRR abs/2106.03299 (2021) - [i21]Hyolim Kang, Jinwoo Kim, Kyungmin Kim, Taehyun Kim, Seon Joo Kim:
Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach. CoRR abs/2106.11549 (2021) - [i20]Hyolim Kang, Jinwoo Kim, Taehyun Kim, Seon Joo Kim:
UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection. CoRR abs/2111.14799 (2021) - [i19]Su Ho Han, Sukjun Hwang, Seoung Wug Oh, Yeonchool Park, Hyunwoo Kim, Min-Jung Kim, Seon Joo Kim:
VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation. CoRR abs/2112.04177 (2021) - 2020
- [c35]Younghyun Jo, Sejong Yang, Seon Joo Kim:
Investigating Loss Functions for Extreme Super-Resolution. CVPR Workshops 2020: 1705-1712 - [c34]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CVPR Workshops 2020: 2045-2057 - [c33]Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, Seon Joo Kim:
Cross-Identity Motion Transfer for Arbitrary Objects Through Pose-Attentive Video Reassembling. ECCV (24) 2020: 292-308 - [c32]Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim:
Deep Space-Time Video Upsampling Networks. ECCV (10) 2020: 701-717 - [i18]Younghyun Jo, Jaeyeon Kang, Seoung Wug Oh, Seonghyeon Nam, Peter Vajda, Seon Joo Kim:
Learning the Loss Functions in a Discriminative Space for Video Restoration. CoRR abs/2003.09124 (2020) - [i17]Gunhee Nam, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval. CoRR abs/2003.09171 (2020) - [i16]Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim:
Deep Space-Time Video Upsampling Networks. CoRR abs/2004.02432 (2020) - [i15]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CoRR abs/2005.01056 (2020) - [i14]Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, Seon Joo Kim:
Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling. CoRR abs/2007.08786 (2020) - [i13]Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim:
Single-shot Path Integrated Panoptic Segmentation. CoRR abs/2012.01632 (2020)
2010 – 2019
- 2019
- [j14]Youngbae Hwang, Joon-Young Lee, In So Kweon, Seon Joo Kim:
Probabilistic moving least squares with spatial constraints for nonlinear color transfer between images. Comput. Vis. Image Underst. 180: 1-12 (2019) - [c31]Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim:
End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image. CVPR 2019: 1409-1418 - [c30]Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks. CVPR 2019: 5247-5256 - [c29]Seoung Wug Oh, Sungho Lee, Joon-Young Lee, Seon Joo Kim:
Onion-Peel Networks for Deep Video Completion. ICCV 2019: 4402-4411 - [c28]Sungho Lee, Seoung Wug Oh, DaeYeun Won, Seon Joo Kim:
Copy-and-Paste Networks for Deep Video Inpainting. ICCV 2019: 4412-4420 - [c27]Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Video Object Segmentation Using Space-Time Memory Networks. ICCV 2019: 9225-9234 - [c26]Yunji Kim, Seonghyeon Nam, In Cho, Seon Joo Kim:
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction. NeurIPS 2019: 3809-3819 - [i12]Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Video Object Segmentation using Space-Time Memory Networks. CoRR abs/1904.00607 (2019) - [i11]Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim:
End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image. CoRR abs/1904.00680 (2019) - [i10]Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks. CoRR abs/1904.09791 (2019) - [i9]Seoung Wug Oh, Sungho Lee, Joon-Young Lee, Seon Joo Kim:
Onion-Peel Networks for Deep Video Completion. CoRR abs/1908.08718 (2019) - [i8]Sungho Lee, Seoung Wug Oh, DaeYeun Won, Seon Joo Kim:
Copy-and-Paste Networks for Deep Video Inpainting. CoRR abs/1908.11587 (2019) - [i7]Yunji Kim, Seonghyeon Nam, In Cho, Seon Joo Kim:
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction. CoRR abs/1910.02027 (2019) - 2018
- [j13]Hye-Rin Kim, Yeong-Seok Kim, Seon Joo Kim, In-Kwon Lee:
Building Emotional Machines: Recognizing Image Emotions Through Deep Neural Networks. IEEE Trans. Multim. 20(11): 2980-2992 (2018) - [c25]Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, Seon Joo Kim:
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation. CVPR 2018: 3224-3232 - [c24]Changha Shin, Hae-Gon Jeon, Youngjin Yoon, In So Kweon, Seon Joo Kim:
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth From Light Field Images. CVPR 2018: 4748-4757 - [c23]Seoung Wug Oh, Joon-Young Lee, Kalyan Sunkavalli, Seon Joo Kim:
Fast Video Object Segmentation by Reference-Guided Mask Propagation. CVPR 2018: 7376-7385 - [c22]Minho Shim, Young Hwi Kim, Kyungmin Kim, Seon Joo Kim:
Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks. ECCV (15) 2018: 420-437 - [c21]Seonghyeon Nam, Yunji Kim, Seon Joo Kim:
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language. NeurIPS 2018: 42-51 - [i6]Changha Shin, Hae-Gon Jeon, Youngjin Yoon, In So Kweon, Seon Joo Kim:
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images. CoRR abs/1804.02379 (2018) - [i5]Seonghyeon Nam, Yunji Kim, Seon Joo Kim:
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language. CoRR abs/1810.11919 (2018) - 2017
- [j12]Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon:
Generating Fluttering Patterns with Low Autocorrelation for Coded Exposure Imaging. Int. J. Comput. Vis. 123(2): 269-286 (2017) - [j11]Seoung Wug Oh, Seon Joo Kim:
Approaching the computational color constancy as a classification problem through deep learning. Pattern Recognit. 61: 405-416 (2017) - [j10]Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon:
Multi-Image Deblurring Using Complementary Sets of Fluttering Patterns. IEEE Trans. Image Process. 26(5): 2311-2326 (2017) - [c20]Seonghyeon Nam, Seon Joo Kim:
Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network. ICCV 2017: 1726-1734 - [i4]Hye-Rin Kim, Seon Joo Kim, In-Kwon Lee:
Building Emotional Machines: Recognizing Image Emotions through Deep Neural Networks. CoRR abs/1705.07543 (2017) - [i3]Seonghyeon Nam, Seon Joo Kim:
Deep Semantics-Aware Photo Adjustment. CoRR abs/1706.08260 (2017) - [i2]Seonghyeon Nam, Seon Joo Kim:
Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network. CoRR abs/1707.08350 (2017) - 2016
- [c19]Seonghyeon Nam, Youngbae Hwang, Yasuyuki Matsushita, Seon Joo Kim:
A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising. CVPR 2016: 1683-1691 - [c18]Seoung Wug Oh, Michael S. Brown, Marc Pollefeys, Seon Joo Kim:
Do It Yourself Hyperspectral Imaging with Everyday Digital Cameras. CVPR 2016: 2461-2469 - [i1]Seoung Wug Oh, Seon Joo Kim:
Approaching the Computational Color Constancy as a Classification Problem through Deep Learning. CoRR abs/1608.07951 (2016) - 2015
- [c17]Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In-So Kweon:
Complementary Sets of Shutter Sequences for Motion Deblurring. ICCV 2015: 3541-3549 - 2014
- [j9]Hojin Cho, Seon Joo Kim, Seungyong Lee:
Single-shot High Dynamic Range Imaging Using Coded Electronic Shutter. Comput. Graph. Forum 33(7): 329-338 (2014) - [c16]Seungryong Kim, Bumsub Ham, Seungchul Ryu, Seon Joo Kim, Kwanghoon Sohn:
Robust Stereo Matching Using Probabilistic Laplacian Surface Propagation. ACCV (1) 2014: 368-383 - [c15]Youngbae Hwang, Joon-Young Lee, In-So Kweon, Seon Joo Kim:
Color Transfer Using Probabilistic Moving Least Squares. CVPR 2014: 3342-3349 - 2013
- [j8]Yu-Wing Tai, Xiaogang Chen, Sunyeong Kim, Seon Joo Kim, Feng Li, Jie Yang, Jingyi Yu, Yasuyuki Matsushita, Michael S. Brown:
Nonlinear Camera Response Functions and Image Deblurring: Theoretical Analysis and Practice. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2498-2512 (2013) - [c14]Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In-So Kweon:
Fluttering Pattern Generation Using Modified Legendre Sequence for Coded Exposure Imaging. ICCV 2013: 1001-1008 - 2012
- [j7]Junhong Gao, Seon Joo Kim, Michael S. Brown:
Creating Picture Legends for Group Photos. Comput. Graph. Forum 31(2pt1): 257-264 (2012) - [j6]Seon Joo Kim, Hai Ting Lin, Zheng Lu, Sabine Süsstrunk, Stephen Lin, Michael S. Brown:
A New In-Camera Imaging Model for Color Computer Vision and Its Application. IEEE Trans. Pattern Anal. Mach. Intell. 34(12): 2289-2302 (2012) - [c13]Fanbo Deng, Seon Joo Kim, Yu-Wing Tai, Michael S. Brown:
Color-Aware Regularization for Gradient Domain Image Manipulation. ACCV (4) 2012: 392-405 - [c12]Sunyeong Kim, Yu-Wing Tai, Seon Joo Kim, Michael S. Brown, Yasuyuki Matsushita:
Nonlinear camera response functions and image deblurring. CVPR 2012: 25-32 - [c11]Hai Ting Lin, Zheng Lu, Seon Joo Kim, Michael S. Brown:
Nonuniform Lattice Regression for Modeling the Camera Imaging Pipeline. ECCV (1) 2012: 556-568 - [c10]Seon Joo Kim, Hongwei Ng, Stefan Winkler, Peng Song, Chi-Wing Fu:
Brush-and-drag: a multi-touch interface for photo triaging. Mobile HCI 2012: 59-68 - [c9]Seon Joo Kim, Hongwei Ng, Stefan Winkler, Peng Song, Chi-Wing Fu:
Brush-and-drag: a multi-touch interface for photo triaging. Mobile HCI (Companion) 2012: 161-162 - 2011
- [j5]Seon Joo Kim, Fanbo Deng, Michael S. Brown:
Visual enhancement of old documents with hyperspectral imaging. Pattern Recognit. 44(7): 1461-1469 (2011) - [c8]Junhong Gao, Seon Joo Kim, Michael S. Brown:
Constructing image panoramas using dual-homography warping. CVPR 2011: 49-56 - [c7]Hai Ting Lin, Seon Joo Kim, Sabine Süsstrunk, Michael S. Brown:
Revisiting radiometric calibration for color computer vision. ICCV 2011: 129-136 - 2010
- [j4]Seon Joo Kim, David Gallup, Jan-Michael Frahm, Marc Pollefeys:
Joint radiometric calibration and feature tracking system with an application to stereo. Comput. Vis. Image Underst. 114(5): 574-582 (2010) - [j3]Seon Joo Kim, Shaojie Zhuo, Fanbo Deng, Chi-Wing Fu, Michael S. Brown:
Interactive Visualization of Hyperspectral Images of Historical Documents. IEEE Trans. Vis. Comput. Graph. 16(6): 1441-1448 (2010) - [c6]Shuaicheng Liu, Michael S. Brown, Seon Joo Kim, Yu-Wing Tai:
Colorization for Single Image Super Resolution. ECCV (6) 2010: 323-336
2000 – 2009
- 2009
- [c5]Seon Joo Kim, Gianfranco Doretto, Jens Rittscher, Peter H. Tu, Nils Krahnstoever, Marc Pollefeys:
A model change detection approach to dynamic scene modeling. AVSS 2009: 490-495 - 2008
- [b1]Seon Joo Kim:
Radiometric calibration methods from image sequences. University of North Carolina, Chapel Hill, USA, 2008 - [j2]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, B. Talton, Liang Wang, Qingxiong Yang, Henrik Stewénius, Ruigang Yang, Greg Welch, Herman Towles:
Detailed Real-Time Urban 3D Reconstruction from Video. Int. J. Comput. Vis. 78(2-3): 143-167 (2008) - [j1]Seon Joo Kim, Marc Pollefeys:
Robust Radiometric Calibration and Vignetting Correction. IEEE Trans. Pattern Anal. Mach. Intell. 30(4): 562-576 (2008) - [c4]Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys:
Radiometric calibration with illumination change for outdoor scene analysis. CVPR 2008 - 2007
- [c3]Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys:
Joint Feature Tracking and Radiometric Calibration from Auto-Exposure Video. ICCV 2007: 1-8 - 2004
- [c2]Seon Joo Kim, Marc Pollefeys:
Radiometric Alignment of Image Sequences. CVPR (1) 2004: 645-651 - [c1]Sudipta N. Sinha, Marc Pollefeys, Seon Joo Kim:
High-Resolution Multiscale Panoramic Mosaics from Pan-Tilt-Zoom Cameras. ICVGIP 2004: 28-33
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
