Kangfu Mei
Kangfu Mei
Ph.D. Candidate at Johns Hopkins University
Verified email at - Homepage
Cited by
Cited by
Multi-scale residual network for image super-resolution
J Li, F Fang, K Mei, G Zhang
Proceedings of the European conference on computer vision (ECCV), 517-532, 2018
Ntire 2018 challenge on image dehazing: Methods and results
C Ancuti, CO Ancuti, R Timofte
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Progressive feature fusion network for realistic image dehazing
K Mei, A Jiang, J Li, M Wang
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
MDCN: Multi-scale dense cross network for image super-resolution
J Li, F Fang, J Li, K Mei, G Zhang
IEEE Transactions on Circuits and Systems for Video Technology 31 (7), 2547-2561, 2020
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
Q Song, K Mei, R Huang
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
VIDM: Video Implicit Diffusion Models
K Mei, VM Patel
AAAI Conference on Artificial Intelligence (AAAI), 2023
Aim 2019 challenge on raw to rgb mapping: Methods and results
A Ignatov, R Timofte, SJ Ko, SW Kim, KH Uhm, SW Ji, SJ Cho, JP Hong, ...
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models
NG Nair, K Mei, VM Patel
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
Lightweight and accurate recursive fractal network for image super-resolution
J Li, Y Yuan, K Mei, F Fang
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Higher-resolution network for image demosaicing and enhancing
K Mei, J Li, J Zhang, H Wu, J Li, R Huang
IEEE/CVF International Conference on Computer Vision, 3441-3448, 2019
Ltt-gan: Looking through turbulence by inverting gans
K Mei, VM Patel
IEEE Journal of Selected Topics in Signal Processing, 2023
An effective single-image super-resolution model using squeeze-and-excitation networks
K Mei, A Jiang, J Li, J Ye, M Wang
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
Deep residual refining based pseudo‐multi‐frame network for effective single image super‐resolution
K Mei, A Jiang, J Li, B Liu, J Ye, M Wang
IET Image Processing 13 (4), 591-599, 2019
Deep semantic statistics matching (D2SM) denoising network
K Mei, VM Patel, R Huang
European Conference on Computer Vision, 384-400, 2022
Latent Feature-Guided Diffusion Models for Shadow Removal
K Mei, L Figueroa, Z Lin, Z Ding, S Cohen, VM Patel
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 4313-4322, 2024
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation
K Mei, M Delbracio, H Talebi, Z Tu, VM Patel, P Milanfar
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
K Mei, Z Tu, M Delbracio, H Talebi, VM Patel, P Milanfar
arXiv preprint arXiv:2404.01367, 2024
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