Search Results for author: Yuan Huang

Found 5 papers, 3 papers with code

Exploring Representation-Level Augmentation for Code Search

1 code implementation21 Oct 2022 Haochen Li, Chunyan Miao, Cyril Leung, Yanxian Huang, Yuan Huang, Hongyu Zhang, Yanlin Wang

In this paper, we explore augmentation methods that augment data (both code and query) at representation level which does not require additional data processing and training, and based on this we propose a general format of representation-level augmentation that unifies existing methods.

Code Search Contrastive Learning +1

StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation

1 code implementation ICCV 2021 Boying Li, Yuan Huang, Zeyu Liu, Danping Zou, Wenxian Yu

Inspired by the early works on indoor modeling, we leverage the structural regularities exhibited in indoor scenes, to train a better depth network.

Monocular Depth Estimation

Air Quality Prediction Using Improved PSO-BP Neural Network

no code implementations28 May 2020 Yuan Huang, YUXING XIANG, RUIXIAO ZHAO, AND ZHE CHEN

Predicting urban air quality is a significant aspect of preventing urban air pollution and improving the living environment of urban residents.

Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image

1 code implementation17 Jun 2019 Jun Xu, Yuan Huang, Ming-Ming Cheng, Li Liu, Fan Zhu, Zhou Xu, Ling Shao

A simple but useful observation on our NAC is: as long as the noise is weak, it is feasible to learn a self-supervised network only with the corrupted image, approximating the optimal parameters of a supervised network learned with pairs of noisy and clean images.

Image Denoising

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