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Kim, Heewon
Kim, Heewon
Assistant Professor, Soongsil University
Verified email at ssu.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
63532017
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
15982017
Channel attention is all you need for video frame interpolation
M Choi, H Kim, B Han, N Xu, KM Lee
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10663 …, 2020
2452020
Meta-Learning with Adaptive Hyperparameters
S Baik, M Choi, J Choi, H Kim, KM Lee
Advances in Neural Information Processing Systems, 2020, 2020
1172020
Meta-learning with task-adaptive loss function for few-shot learning
S Baik, J Choi, H Kim, D Cho, J Min, KM Lee
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1132021
Task-aware image downscaling
H Kim, M Choi, B Lim, KM Lee
Proceedings of the European conference on computer vision (ECCV), 399-414, 2018
862018
Real-time video super-resolution on smartphones with deep learning, mobile ai 2021 challenge: Report
A Ignatov, A Romero, H Kim, R Timofte
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
532021
Daq: Channel-wise distribution-aware quantization for deep image super-resolution networks
C Hong, H Kim, S Baik, J Oh, KM Lee
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
35*2022
Motion-aware dynamic architecture for efficient frame interpolation
M Choi, S Lee, H Kim, KM Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
242021
Cadyq: Content-aware dynamic quantization for image super-resolution
C Hong, S Baik, H Kim, S Nah, KM Lee
European Conference on Computer Vision, 367-383, 2022
202022
Machine learning-based predictive modeling of depression in hypertensive populations
C Lee, H Kim
PLoS One 17 (7), e0272330, 2022
202022
AIM 2019 challenge on video temporal super-resolution: Methods and results
S Nah, S Son, R Timofte, KM Lee, L Siyao, Z Pan, X Xu, W Sun, M Choi, ...
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
192019
Attentive fine-grained structured sparsity for image restoration
J Oh, H Kim, S Nah, C Hong, J Choi, KM Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
152022
Fine-grained neural architecture search
H Kim, S Hong, B Han, H Myeong, KM Lee
arXiv preprint arXiv:1911.07478, 2019
132019
Searching for controllable image restoration networks
H Kim, S Baik, M Choi, J Choi, KM Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
92021
Learning to learn task-adaptive hyperparameters for few-shot learning
S Baik, M Choi, J Choi, H Kim, KM Lee
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
72023
Batch normalization tells you which filter is important
J Oh, H Kim, S Baik, C Hong, KM Lee
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
72022
Controllable Image Enhancement
H Kim, KM Lee
arXiv preprint arXiv:2206.08488, 2022
22022
Fine-grained neural architecture search for image super-resolution
H Kim, S Hong, B Han, H Myeong, KM Lee
Journal of Visual Communication and Image Representation 89, 103654, 2022
12022
Learning Controllable ISP for Image Enhancement
H Kim, KM Lee
IEEE Transactions on Image Processing, 2023
2023
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