Search Results for author: Yuxiang Zhang

Found 8 papers, 1 papers with code

Adversarial Training-Aided Time-Varying Channel Prediction for TDD/FDD Systems

no code implementations25 Apr 2022 Zhen Zhang, Yuxiang Zhang, Jianhua Zhang, Feifei Gao

In this paper, a time-varying channel prediction method based on conditional generative adversarial network (CPcGAN) is proposed for time division duplexing/frequency division duplexing (TDD/FDD) systems.

Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras

no code implementations ICCV 2021 Yuxiang Zhang, Zhe Li, Liang An, Mengcheng Li, Tao Yu, Yebin Liu

Overall, we propose the first light-weight total capture system and achieves fast, robust and accurate multi-person total motion capture performance.


Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection

no code implementations21 Jan 2021 Yuxiang Zhang, Sachin Mehta, Anat Caspi

Semantic segmentation is a prerequisite for this task since it maps contiguous regions of the same class as single entities.

Autonomous Navigation Model Selection +2

Incorporating Linguistic Constraints into Keyphrase Generation

no code implementations ACL 2019 Jing Zhao, Yuxiang Zhang

Keyphrases, that concisely describe the high-level topics discussed in a document, are very useful for a wide range of natural language processing tasks.

Keyphrase Generation Multi-Task Learning

Training Bit Fully Convolutional Network for Fast Semantic Segmentation

no code implementations1 Dec 2016 He Wen, Shuchang Zhou, Zhe Liang, Yuxiang Zhang, Dieqiao Feng, Xinyu Zhou, Cong Yao

Fully convolutional neural networks give accurate, per-pixel prediction for input images and have applications like semantic segmentation.

Semantic Segmentation

An Open Source Testing Tool for Evaluating Handwriting Input Methods

no code implementations30 May 2015 Liquan Qiu, Lianwen Jin, Ruifen Dai, Yuxiang Zhang, Lei LI

This paper presents an open source tool for testing the recognition accuracy of Chinese handwriting input methods.

Handwriting Recognition

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