Search Results for author: Guangwei Gao

Found 19 papers, 9 papers with code

Lightweight Image Super-Resolution with Multi-scale Feature Interaction Network

no code implementations24 Mar 2021 Zhengxue Wang, Guangwei Gao, Juncheng Li, Yi Yu, Huimin Lu

Recently, the single image super-resolution (SISR) approaches with deep and complex convolutional neural network structures have achieved promising performance.

Image Super-Resolution

MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation

no code implementations24 Mar 2021 Guangwei Gao, Guoan Xu, Yi Yu, Jin Xie, Jian Yang, Dong Yue

In recent years, how to strike a good trade-off between accuracy and inference speed has become the core issue for real-time semantic segmentation applications, which plays a vital role in real-world scenarios such as autonomous driving systems and drones.

Autonomous Driving Real-Time Semantic Segmentation +1

Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition

no code implementations25 Mar 2021 Guangwei Gao, Yi Yu, Jian Yang, Guo-Jun Qi, Meng Yang

(i) To learn more robust and discriminative features, we desire to adaptively fuse the contextual features from different layers.

Face Recognition Representation Learning

JDSR-GAN: Constructing An Efficient Joint Learning Network for Masked Face Super-Resolution

no code implementations25 Mar 2021 Guangwei Gao, Lei Tang, Fei Wu, Huimin Lu, Jian Yang

In this work, we treat the mask occlusion as image noise and construct a joint and collaborative learning network, called JDSR-GAN, for the masked face super-resolution task.

Denoising Super-Resolution

Leaning Compact and Representative Features for Cross-Modality Person Re-Identification

1 code implementation26 Mar 2021 Guangwei Gao, Hao Shao, Fei Wu, Meng Yang, Yi Yu

This paper pays close attention to the cross-modality visible-infrared person re-identification (VI Re-ID) task, which aims to match pedestrian samples between visible and infrared modes.

Cross-Modality Person Re-identification Knowledge Distillation +1

FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation

1 code implementation2 Sep 2021 Guangwei Gao, Guoan Xu, Juncheng Li, Yi Yu, Huimin Lu, Jian Yang

Specifically, FBSNet employs a symmetrical encoder-decoder structure with two branches, semantic information branch and spatial detail branch.

Autonomous Driving Drone navigation +1

Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution

1 code implementation16 Dec 2021 Guangwei Gao, Wenjie Li, Juncheng Li, Fei Wu, Huimin Lu, Yi Yu

Convolutional neural networks based single-image super-resolution (SISR) has made great progress in recent years.

Image Super-Resolution

Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution

1 code implementation6 Jul 2022 Wenjie Li, Juncheng Li, Guangwei Gao, Jiantao Zhou, Jian Yang, Guo-Jun Qi

Recently, Transformer-based methods have shown impressive performance in single image super-resolution (SISR) tasks due to the ability of global feature extraction.

Image Super-Resolution

Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network

no code implementations29 Dec 2022 Wenjie Li, Juncheng Li, Guangwei Gao, Weihong Deng, Jian Yang, Guo-Jun Qi, Chia-Wen Lin

Recently, great progress has been made in single-image super-resolution (SISR) based on deep learning technology.

Image Super-Resolution

PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution

no code implementations24 Mar 2023 Hansheng Guo, Juncheng Li, Guangwei Gao, Zhi Li, Tieyong Zeng

Stereo image super-resolution aims to boost the performance of image super-resolution by exploiting the supplementary information provided by binocular systems.

Stereo Image Super-Resolution

EWT: Efficient Wavelet-Transformer for Single Image Denoising

no code implementations13 Apr 2023 Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, Tieyong Zeng

Transformer-based image denoising methods have achieved encouraging results in the past year.

Image Denoising

Scene Prior Filtering for Depth Map Super-Resolution

no code implementations21 Feb 2024 Zhengxue Wang, Zhiqiang Yan, Ming-Hsuan Yang, Jinshan Pan, Jian Yang, Ying Tai, Guangwei Gao

Specifically, we design an All-in-one Prior Propagation that computes the similarity between multi-modal scene priors, i. e., RGB, normal, semantic, and depth, to reduce the texture interference.

Depth Map Super-Resolution

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