Kangfu Mei

Orcid: 0000-0001-8949-9597

According to our database1, Kangfu Mei authored at least 23 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Latent Feature-Guided Diffusion Models for Shadow Removal.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
LTT-GAN: Looking Through Turbulence by Inverting GANs.
IEEE J. Sel. Top. Signal Process., May, 2023

Latent Feature-Guided Diffusion Models for Shadow Removal.
CoRR, 2023

Conditional Diffusion Distillation.
CoRR, 2023

T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities.
CoRR, 2023

VIDM: Video Implicit Diffusion Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors.
CoRR, 2022

AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models.
CoRR, 2022

A Comparison of Different Atmospheric Turbulence Simulation Methods for Image Restoration.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Thermal to Visible Image Synthesis Under Atmospheric Turbulence.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Semantic Statistics Matching (D2SM) Denoising Network.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
MDCN: Multi-Scale Dense Cross Network for Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., 2021

Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background.
CoRR, 2021

SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Disentangle Perceptual Learning through Online Contrastive Learning.
CoRR, 2020

2019
Deep residual refining based pseudo-multi-frame network for effective single image super-resolution.
IET Image Process., 2019

HighEr-Resolution Network for Image Demosaicing and Enhancing.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Multi-scale Residual Network for Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2018, 2018

Progressive Feature Fusion Network for Realistic Image Dehazing.
Proceedings of the Computer Vision - ACCV 2018, 2018


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