CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis

no code implementations • 12 Sep 2023 • Di Guo, Sijin Li, Jun Liu, Zhangren Tu, Tianyu Qiu, Jingjing Xu, Liubin Feng, Donghai Lin, Qing Hong, Meijin Lin, Yanqin Lin, Xiaobo Qu

Particularly, the emerging deep learning tools is hard to be widely used in NMR due to the sophisticated setup of computation.

Cloud Computing

Video Super-Resolution with Long-Term Self-Exemplars

no code implementations • 24 Jun 2021 • Guotao Meng, Yue Wu, Sijin Li, Qifeng Chen

Existing video super-resolution methods often utilize a few neighboring frames to generate a higher-resolution image for each frame.

Video Super-Resolution

Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation

no code implementations • ICCV 2015 • Sijin Li, Weichen Zhang, Antoni B. Chan

The score function is then the dot-product between the image and pose embeddings.

3D Human Pose Estimation

Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network

no code implementations • 13 Jun 2014 • Sijin Li, Zhi-Qiang Liu, Antoni B. Chan

We propose an heterogeneous multi-task learning framework for human pose estimation from monocular image with deep convolutional neural network.

Multi-Task Learning Pose Estimation