Search Results for author: Guo Li

Found 6 papers, 4 papers with code

Fast and Flexible Human Pose Estimation with HyperPose

1 code implementation26 Aug 2021 Yixiao Guo, Jiawei Liu, Guo Li, Luo Mai, Hao Dong

When it comes to customising these algorithms for real-world applications, none of the existing libraries can offer both the flexibility of developing custom pose estimation algorithms and the high-performance of executing these algorithms on commodity devices.

Pose Estimation

Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality Assessment

1 code implementation27 Dec 2020 Baoliang Chen, Lingyu Zhu, Guo Li, Hongfei Fan, Shiqi Wang

In this work, we propose a no-reference video quality assessment method, aiming to achieve high-generalization capability in cross-content, -resolution and -frame rate quality prediction.

Video Quality Assessment

Efficient Reinforcement Learning Development with RLzoo

1 code implementation18 Sep 2020 Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Guo Li, Quancheng Guo, Luo Mai, Hao Dong

RLzoo provides developers with (i) high-level yet flexible APIs for prototyping DRL agents, and further customising the agents for best performance, (ii) a model zoo where users can import a wide range of DRL agents and easily compare their performance, and (iii) an algorithm that can automatically construct DRL agents with custom components (which are critical to improve agent's performance in custom applications).


TailorGAN: Making User-Defined Fashion Designs

2 code implementations17 Jan 2020 Lele Chen, Justin Tian, Guo Li, Cheng-Haw Wu, Erh-Kan King, Kuan-Ting Chen, Shao-Hang Hsieh, Chenliang Xu

To overcome those limitations, we propose a novel self-supervised model to synthesize garment images with disentangled attributes (e. g., collar and sleeves) without paired data.

Active collaboration in relative observation for Multi-agent visual SLAM based on Deep Q Network

no code implementations23 Sep 2019 Zhaoyi Pei, Piaosong Hao, Meixiang Quan, Muhammad Zuhair Qadir, Guo Li

This paper proposes a unique active relative localization mechanism for multi-agent Simultaneous Localization and Mapping(SLAM), in which a agent to be observed are considered as a task, which is performed by others assisting that agent by relative observation.

Simultaneous Localization and Mapping

Receiver Design for Faster-than-Nyquist Signaling: Deep-learning-based Architectures

no code implementations7 Nov 2018 Peiyang Song, Fengkui Gong, Qiang Li, Guo Li, Haiyang Ding

Additionally, we propose a DL-based joint signal detection and decoding for FTN signaling to replace the complete baseband part in traditional FTN receivers.

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