Kangfu MEI's Homepage

Kangfu MEI 梅康夫

I am a Ph.D. student at Johns Hopkins University , advised by Prof. Vishal Patel , where I work on compute vision and computational photography. Before that, I was a M.Phil student at The Chinese University of Hong Kong, Shenzhen, advised by Prof. Rui Huang.

I'm working as a research intern at Adobe Research (Summer 2022).

I previously interned at: DAMO Academy / Kuaishou / JD.COM

CV / Email / Google Scholar / Github / Photography

Research

My research interest mainly focuses on degraded images restoration as well as its applicatoin in high-level vision. Representative papers are highlighted.

	Towards Conditional Diffusion Models with Generative Restoration Priors Kangfu Mei, Nithin Gopalakrishnan Nair, Vishal M. Patel, arXiv, 2022 Project Page / PDF / Video Generation Diffusion Models By Using Implicit Motiion Condition.
	VIDM: Video Implicit Diffusion Models Kangfu Mei, Vishal M. Patel, AAAI, 2023 Project Page / arXiv / Video Generation Diffusion Models By Using Implicit Motiion Condition.
	Deep Semantic Statistics Matching (D2SM) Denoising Network Kangfu Mei, Vishal M. Patel, Rui Huang ECCV, 2022 Project Page / arXiv / poster A New General Plug-and-play Component For Denoising
	LTT-GAN: Looking Through Turbulence by Inverting GANs Kangfu Mei, Vishal M. Patel arXiv, 2021 Project Page / arXiv The first turbulence mitigation algorithm that can clearly recover face images captured in a range of 300 meters long.
	AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing Qi Song, Kangfu Mei, Rui Huang AAAI, 2021 code / arXiv Two novel Strip Attention Module (SAM) and Attention Fusion Module (AFM) are proposed for enhancing the accuracy of semantic segmentation networks with limited computational complexity increasing. , espcically the scenes contains vertical strip areas
	Multi-scale Residual Network for Image Super-resolution Juncheng Li, Faming Fang, Kangfu Mei, Guixu Zhang ECCV, 2018 code / bibtex Introduce a novel multi-scale residual network for recovering the high-quality image from low-resolution.

Service

Reviewer for CVPR, ECCV, WACV, ICPR

Reviewer of International Journal of Computer Vision (IJCV)

Reviewer of IEEE Transactions on Image Processing (TIP)

Reviewer of IEEE Transactions on Multimedia (TMM)

Reviewer of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

Reviewer of Computer Vision and Image Understanding (CVIU)

Prizes

AIM2019 Mobile Raw to DSLR RGB Image Mapping Challenge (ICCV2019 Workshop): Top 1

Alibaba Youku Video Enhancement and Super-Resolution Challenge 2019: Top 4

NTIRE2018 Image Dehazing Challenge (CVPR2018 Workshop): Honorable Mention Award & Top 6

University Computer Software Programming Challenge 2018 in The Pearl River Delta: Gold Award & Best innovative Award