Kangfu Mei

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Top Venues

Publications

Kangfu Mei, Luis Figueroa, Zhe Lin, Zhihong Ding, Scott Cohen, Vishal M. Patel
Latent Feature-Guided Diffusion Models for Shadow Removal. WACV (2024)
Kangfu Mei, Zhengzhong Tu, Mauricio Delbracio, Hossein Talebi, Vishal M. Patel, Peyman Milanfar
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models. CoRR (2024)
Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar
Conditional Diffusion Distillation. CoRR (2023)
Kangfu Mei, Vishal M. Patel
LTT-GAN: Looking Through Turbulence by Inverting GANs. IEEE J. Sel. Top. Signal Process. 17 (3) (2023)
Kangfu Mei, Mo Zhou, Vishal M. Patel
T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities. CoRR (2023)
Kangfu Mei, Luis Figueroa, Zhe Lin, Zhihong Ding, Scott Cohen, Vishal M. Patel
Latent Feature-Guided Diffusion Models for Shadow Removal. CoRR (2023)
Kangfu Mei, Vishal M. Patel
VIDM: Video Implicit Diffusion Models. AAAI (2023)
Nithin Gopalakrishnan Nair, Kangfu Mei, Vishal M. Patel
A comparison of different atmospheric turbulence simulation methods for image restoration. CoRR (2022)
Kangfu Mei, Vishal M. Patel, Rui Huang
Deep Semantic Statistics Matching (D2SM) Denoising Network. CoRR (2022)
Nithin Gopalakrishnan Nair, Kangfu Mei, Vishal M. Patel
AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models. CoRR (2022)
Kangfu Mei, Vishal M. Patel
VIDM: Video Implicit Diffusion Models. CoRR (2022)
Kangfu Mei, Nithin Gopalakrishnan Nair, Vishal M. Patel
Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors. CoRR (2022)
Kangfu Mei, Yiqun Mei, Vishal M. Patel
Thermal to Visible Image Synthesis under Atmospheric Turbulence. CoRR (2022)
Kangfu Mei, Yiqun Mei, Vishal M. Patel
Thermal to Visible Image Synthesis Under Atmospheric Turbulence. ICIP (2022)
Nithin Gopalakrishnan Nair, Kangfu Mei, Vishal M. Patel
A Comparison of Different Atmospheric Turbulence Simulation Methods for Image Restoration. ICIP (2022)
Kangfu Mei, Vishal M. Patel, Rui Huang
Deep Semantic Statistics Matching (D2SM) Denoising Network. ECCV (7) (2022)
Qi Song, Kangfu Mei, Rui Huang
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing. CoRR (2021)
Kangfu Mei, Shenglong Ye, Rui Huang
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom. ICME (2021)
Qi Song, Kangfu Mei, Rui Huang
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing. AAAI (2021)
Qiaosi Yi, Yunxing Liu, Aiwen Jiang, Juncheng Li, Kangfu Mei, Mingwen Wang
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background. CoRR (2021)
Juncheng Li, Faming Fang, Jiaqian Li, Kangfu Mei, Guixu Zhang
MDCN: Multi-Scale Dense Cross Network for Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 31 (7) (2021)
Kangfu Mei, Vishal M. Patel
LTT-GAN: Looking Through Turbulence by Inverting GANs. CoRR (2021)
Kangfu Mei, Shenglong Ye, Rui Huang
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom. CoRR (2021)
Juncheng Li, Faming Fang, Jiaqian Li, Kangfu Mei, Guixu Zhang
MDCN: Multi-scale Dense Cross Network for Image Super-Resolution. CoRR (2020)
Kangfu Mei, Yao Lu, Qiaosi Yi, Haoyu Wu, Juncheng Li, Rui Huang
Disentangle Perceptual Learning through Online Contrastive Learning. CoRR (2020)
Andrey Ignatov, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Yuzhi Zhao, Lai-Man Po, Radu Timofte, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong, Chang Zhou, Wing Yin Yu, Yubin Yubin, Sung-Jea Ko, Bingxin Hou, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Seung-Wook Kim, Kwang-Hyun Uhm, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Kangfu Mei
AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. ICCV Workshops (2019)
Kangfu Mei, Aiwen Jiang, Juncheng Li, Bo Liu, Jihua Ye, Mingwen Wang
Deep residual refining based pseudo-multi-frame network for effective single image super-resolution. IET Image Process. 13 (4) (2019)
Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang
HighEr-Resolution Network for Image Demosaicing and Enhancing. ICCV Workshops (2019)
Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang
HighEr-Resolution Network for Image Demosaicing and Enhancing. CoRR (2019)
Juncheng Li, Yiting Yuan, Kangfu Mei, Faming Fang
Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution. ICCV Workshops (2019)
Kangfu Mei, Aiwen Jiang, Juncheng Li, Jihua Ye, Mingwen Wang
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks. CoRR (2018)
Kangfu Mei, Aiwen Jiang, Juncheng Li, Mingwen Wang
Progressive Feature Fusion Network for Realistic Image Dehazing. ACCV (1) (2018)
Kangfu Mei, Aiwen Jiang, Juncheng Li, Mingwen Wang
Progressive Feature Fusion Network for Realistic Image Dehazing. CoRR (2018)
Juncheng Li, Faming Fang, Kangfu Mei, Guixu Zhang
Multi-scale Residual Network for Image Super-Resolution. ECCV (8) (2018)
Kangfu Mei, Aiwen Jiang, Juncheng Li, Jihua Ye, Mingwen Wang
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks. ICONIP (6) (2018)