Követés
Kyoung Mu Lee
Kyoung Mu Lee
Professor, Department of Electrical and Computer Engineering, Seoul National University
E-mail megerősítve itt: snu.ac.kr - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Accurate image super-resolution using very deep convolutional networks
J Kim, J Kwon Lee, K Mu Lee
Proceedings of the IEEE conference on computer vision and pattern …, 2016
85072016
Enhanced deep residual networks for single image super-resolution
B Lim, S Son, H Kim, S Nah, K Mu Lee
Proceedings of the IEEE conference on computer vision and pattern …, 2017
78912017
Deeply-recursive convolutional network for image super-resolution
J Kim, J Kwon Lee, K Mu Lee
Proceedings of the IEEE conference on computer vision and pattern …, 2016
34262016
Deep multi-scale convolutional neural network for dynamic scene deblurring
S Nah, T Hyun Kim, K Mu Lee
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
24742017
Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
22202017
Visual tracking decomposition
J Kwon, KM Lee
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
15422010
Part-aligned bilinear representations for person re-identification
Y Suh, J Wang, S Tang, T Mei, KM Lee
Proceedings of the European Conference on Computer Vision (ECCV), 402-419, 2018
6472018
Reweighted random walks for graph matching
M Cho, J Lee, K Lee
Computer Vision–ECCV 2010, 492-505, 2010
6052010
V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map
G Moon, J Yong Chang, K Mu Lee
Proceedings of the IEEE conference on computer vision and pattern …, 2018
5452018
Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study
S Nah, S Baik, S Hong, G Moon, S Son, R Timofte, K Mu Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
5412019
Tracking by Sampling Trackers
J Kwon, KM Lee
2011 International Conference on Computer Vision, 1195-1202, 2011
5192011
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image
G Moon, KM Lee
European Conference on Computer Vision (ECCV), 2020
4872020
Pose2Mesh: Graph convolutional network for 3D human pose and mesh recovery from a 2D human pose
H Choi, G Moon, KM Lee
European Conference on Computer Vision (ECCV), 2020
4292020
Camera distance-aware top-down approach for 3d multi-person pose estimation from a single rgb image
G Moon, JY Chang, KM Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
4282019
FPGA design and implementation of a real-time stereo vision system
S Jin, J Cho, X Dai Pham, KM Lee, SK Park, M Kim, JW Jeon
IEEE transactions on circuits and systems for video technology 20 (1), 15-26, 2009
4272009
Robust Stereo Matching Using Adaptive Normalized Cross Correlation
Y Heo, K Lee, S Lee
Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1-1, 2011
3632011
InterHand2. 6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image
G Moon, SI Yu, H Wen, T Shiratori, KM Lee
European Conference on Computer Vision (ECCV), 2020
3442020
Mobile robot and course adjusting method thereof
J Song, S Lee, S Moon, K Lee
US Patent 6,496,754, 2002
3252002
Channel Attention Is All You Need for Video Frame Interpolation
M Choi, H Kim, H Bohyung, N Xu, KM Lee
AAAI Conference on Artificial Intelligence, 2020
3222020
Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive basin hopping monte carlo sampling
J Kwon, KM Lee
2009 IEEE Conference on Computer Vision and Pattern Recognition, 1208-1215, 2009
2952009
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Cikkek 1–20