Daq: Channel-wise distribution-aware quantization for deep image super-resolution networks C Hong, H Kim, S Baik, J Oh, KM Lee WACV 2022, 2022 | 54 | 2022 |
Cadyq: Content-aware dynamic quantization for image super-resolution C Hong, S Baik, H Kim, S Nah, KM Lee ECCV 2022, 2022 | 39 | 2022 |
Attentive fine-grained structured sparsity for image restoration J Oh, H Kim, S Nah, C Hong, J Choi, KM Lee CVPR 2022, 2022 | 24 | 2022 |
Batch normalization tells you which filter is important J Oh, H Kim, S Baik, C Hong, KM Lee WACV 2022, 2022 | 12 | 2022 |
AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution C Hong, KM Lee CVPR 2024, 2024 | 3 | 2024 |
CoLaNet: Adaptive context and latent information blending for face image inpainting J Park, C Hong, S Baik, KM Lee IEEE Signal Processing Letters 31, 91-95, 2023 | 1 | 2023 |
Overcoming distribution mismatch in quantizing image super-resolution networks C Hong, KM Lee ECCV 2024, 2023 | 1 | 2023 |
Supplementary Material for Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks C Hong, KM Lee | | |
Diversity, Plausibility, and Difficulty: Dynamic Data-Free Quantization C Hong, S Baik, J Oh, KM Lee | | |