| 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 | 39* | 2022 |
| 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 | 23 | 2022 |
| 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 | 16 | 2022 |
| 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 | 7 | 2022 |
| Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks C Hong, KM Lee arXiv preprint arXiv:2307.13337, 2023 | 1 | 2023 |
| AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution C Hong, KM Lee arXiv preprint arXiv:2404.03296, 2024 | | 2024 |
| CoLaNet: Adaptive Context and Latent Information Blending for Face Image Inpainting J Park, C Hong, S Baik, KM Lee IEEE Signal Processing Letters, 2023 | | 2023 |
| Diversity, Plausibility, and Difficulty: Dynamic Data-Free Quantization C Hong, S Baik, J Oh, KM Lee | | |
Kyoung Mu LeeProfessor, Department of Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr
