7 code implementations • 7 May 2019 • Yu Wang, Quan Zhou, Jia Liu, Jian Xiong, Guangwei Gao, Xiaofu Wu, Longin Jan Latecki
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
Ranked #29 on Real-Time Semantic Segmentation on Cityscapes test
1 code implementation • 27 Sep 2023 • Wenjie Li, Mei Wang, Kai Zhang, Juncheng Li, Xiaoming Li, Yuhang Zhang, Guangwei Gao, Weihong Deng, Chia-Wen Lin
We also discuss notable benchmarks commonly utilized in the field.
1 code implementation • 16 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.
1 code implementation • 28 Apr 2022 • Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu, Tieyong Zeng
Single-image super-resolution (SISR) has achieved significant breakthroughs with the development of deep learning.
1 code implementation • 19 Apr 2022 • Guangwei Gao, Zixiang Xu, Juncheng Li, Jian Yang, Tieyong Zeng, Guo-Jun Qi
Then, we design an efficient Feature Refinement Module (FRM) to enhance the encoded features.
1 code implementation • 6 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.
1 code implementation • 26 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
1 code implementation • 2 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.
1 code implementation • 21 Feb 2023 • Guoan Xu, Juncheng Li, Guangwei Gao, Huimin Lu, Jian Yang, Dong Yue
In the past decade, convolutional neural networks (CNNs) have shown prominence for semantic segmentation.
no code implementations • 20 Jul 2020 • Hao Ding, Songsong Wu, Hao Tang, Fei Wu, Guangwei Gao, Xiao-Yuan Jing
This is even more laborious when generating images with very different views.
no code implementations • 24 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.
no code implementations • 24 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.
no code implementations • 25 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.
no code implementations • 25 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.
no code implementations • 29 Apr 2022 • Juncheng Li, Hanhui Yang, Qiaosi Yi, Faming Fang, Guangwei Gao, Tieyong Zeng, Guixu Zhang
Single image denoising (SID) has achieved significant breakthroughs with the development of deep learning.
no code implementations • 29 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.
no code implementations • 24 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.
no code implementations • 13 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.
no code implementations • 21 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.