Search Results for author: Guangwei Gao

Found 30 papers, 15 papers with code

SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation

no code implementations26 Nov 2024 Guoan Xu, Jiaming Chen, Wenfeng Huang, Wenjing Jia, Guangwei Gao, Guo-Jun Qi

The Vision Transformer (ViT) has achieved notable success in computer vision, with its variants extensively validated across various downstream tasks, including semantic segmentation.

Computational Efficiency Decoder +2

Degradation Oriented and Regularized Network for Blind Depth Super-Resolution

1 code implementation15 Oct 2024 Zhengxue Wang, Zhiqiang Yan, Jinshan Pan, Guangwei Gao, Kai Zhang, Jian Yang

Recent RGB-guided depth super-resolution methods have achieved impressive performance under the assumption of fixed and known degradation (e. g., bicubic downsampling).

Super-Resolution

Efficient Semantic Segmentation via Lightweight Multiple-Information Interaction Network

no code implementations3 Oct 2024 Yangyang Qiu, Guoan Xu, Guangwei Gao, Zhenhua Guo, Yi Yu, Chia-Wen Lin

Recently, the integration of the local modeling capabilities of Convolutional Neural Networks (CNNs) with the global dependency strengths of Transformers has created a sensation in the semantic segmentation community.

Real-Time Semantic Segmentation

HazyDet: Open-source Benchmark for Drone-view Object Detection with Depth-cues in Hazy Scenes

1 code implementation30 Sep 2024 Changfeng Feng, Zhenyuan Chen, Renke Kou, Guangwei Gao, Chunping Wang, Xiang Li, Xiangbo Shu, Yimian Dai, Qiang Fu, Jian Yang

By observing the significant variations in object scale and clarity under different depth and haze conditions, we designed a Depth Conditioned Detector (DeCoDet) to incorporate this prior knowledge.

Object object-detection +1

ReviveDiff: A Universal Diffusion Model for Restoring Images in Adverse Weather Conditions

no code implementations27 Sep 2024 Wenfeng Huang, Guoan Xu, Wenjing Jia, Stuart Perry, Guangwei Gao

Images captured in challenging environments--such as nighttime, foggy, rainy weather, and underwater--often suffer from significant degradation, resulting in a substantial loss of visual quality.

Microscopic-Mamba: Revealing the Secrets of Microscopic Images with Just 4M Parameters

1 code implementation12 Sep 2024 Shun Zou, Zhuo Zhang, Yi Zou, Guangwei Gao

In the field of medical microscopic image classification (MIC), CNN-based and Transformer-based models have been extensively studied.

Image Classification Mamba

OCTAMamba: A State-Space Model Approach for Precision OCTA Vasculature Segmentation

1 code implementation12 Sep 2024 Shun Zou, Zhuo Zhang, Guangwei Gao

Optical Coherence Tomography Angiography (OCTA) is a crucial imaging technique for visualizing retinal vasculature and diagnosing eye diseases such as diabetic retinopathy and glaucoma.

Mamba

Attention-Guided Multi-scale Interaction Network for Face Super-Resolution

no code implementations1 Sep 2024 Xujie Wan, Wenjie Li, Guangwei Gao, Huimin Lu, Jian Yang, Chia-Wen Lin

Recently, CNN and Transformer hybrid networks demonstrated excellent performance in face super-resolution (FSR) tasks.

Decoder Super-Resolution

HAFormer: Unleashing the Power of Hierarchy-Aware Features for Lightweight Semantic Segmentation

no code implementations10 Jul 2024 Guoan Xu, Wenjing Jia, Tao Wu, Ligeng Chen, Guangwei Gao

In this paper, we introduce HAFormer, a model that combines the hierarchical features extraction ability of CNNs with the global dependency modeling capability of Transformers to tackle lightweight semantic segmentation challenges.

Semantic Segmentation

Scene Prior Filtering for Depth Super-Resolution

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

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

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

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

Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network

1 code implementation29 Dec 2022 Wenjie Li, Juncheng Li, Guangwei Gao, Weihong Deng, Jian Yang, Guo-Jun Qi, Chia-Wen Lin

Lightweight image super-resolution aims to reconstruct high-resolution images from low-resolution images using low computational costs.

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

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

A Systematic Survey of Deep Learning-based Single-Image Super-Resolution

1 code implementation29 Sep 2021 Juncheng Li, Zehua Pei, Wenjie Li, Guangwei Gao, Longguang Wang, Yingqian Wang, Tieyong Zeng

This is an exhaustive survey of SISR, which can help researchers better understand SISR and inspire more exciting research in this field.

Deep Learning Image Quality Assessment +2

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 Decoder +2

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 +2

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

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 Decoder +2

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

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