caiyuanhao1998 Goto Github PK

🚀 Interested in Human Pose Estimation, Image Restoration, and Generative Adversarial Networks.

🎓 Now a first-year CS PhD student in Johns Hopkins University, advised by prof. Alan Yuille.

🔥 Obtained my BSE and MSE degrees from Tsinghua University in 2020 and 2023.

⚡ An active player in competitions of international top academic conferences:

🌱 My Repositories

Topic	Title	Badge
Human Pose Estimation	"Learning Delicate Local Representations for Multi-Person Pose Estimation" (ECCV 2020 Spotlight) and "Res-Steps-Net for Multi-Person Pose Estimation" (ICCVW 2019 Best Paper Award & COCO 2019 Keypoint Challenge Winner)
Hypersepctral Image Reconstruction in Snapshot Compressive Imaging	"A toolbox for spectral compressive imaging reconstruction including our MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc."
Low-light Image Enhancement	"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023)
Hypersepctral Image Reconstruction from Single RGB Images	"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Challenge on Spectral Reconstruction from RGB)
Binarized Neural Network for Spectral Compressive Imaging Reconstruction	"Binarized Spectral Compressive Imaging" (NeurIPS 2023)
Real-world Noise Modelling and Removal	"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)
Video Restoration	"A toolbox for video restoration (deblurring, super-resolution, and compressed video enhancedment) including our FGST (ICML 2022) and S2SVR (ICML 2022), and so on"
Medical Image Enhancement	"RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark" (J-BHI 2022)