Search Results for author: Zewen Li

Found 6 papers, 3 papers with code

VirtualConductor: Music-driven Conducting Video Generation System

2 code implementations28 Jul 2021 Delong Chen, Fan Liu, Zewen Li, Feng Xu

In this demo, we present VirtualConductor, a system that can generate conducting video from any given music and a single user's image.

Pose Transfer Video Generation

Significant Wave Height Prediction based on Wavelet Graph Neural Network

1 code implementation20 Jul 2021 Delong Chen, Fan Liu, Zheqi Zhang, Xiaomin Lu, Zewen Li

Several parallel graph neural networks are separately trained on wavelet decomposed data, and the reconstruction of each model's prediction forms the final SWH prediction.

BIG-bench Machine Learning

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

3 code implementations1 Feb 2021 Rongjun Qin, Songyi Gao, Xingyuan Zhang, Zhen Xu, Shengkai Huang, Zewen Li, Weinan Zhang, Yang Yu

We evaluate existing offline RL algorithms on NeoRL and argue that the performance of a policy should also be compared with the deterministic version of the behavior policy, instead of the dataset reward.

Offline RL reinforcement-learning +1

A Review of Automated Diagnosis of COVID-19 Based on Scanning Images

no code implementations9 Jun 2020 Delong Chen, Shunhui Ji, Fan Liu, Zewen Li, Xinyu Zhou

The pandemic of COVID-19 has caused millions of infections, which has led to a great loss all over the world, socially and economically.

Computed Tomography (CT) Domain Adaptation +1

Deep Learning Based Single Sample Per Person Face Recognition: A Survey

no code implementations9 Jun 2020 Fan Liu, Delong Chen, Fei Wang, Zewen Li, Feng Xu

Face recognition under this situation is referred to as single sample face recognition and poses significant challenges to the effective training of deep models.

Domain Adaptation Face Recognition

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

no code implementations1 Apr 2020 Zewen Li, Wenjie Yang, Shouheng Peng, Fan Liu

In this review, we aim to provide novel ideas and prospects in this fast-growing field as much as possible.

Cannot find the paper you are looking for? You can Submit a new open access paper.