1 code implementation • 14 Mar 2024 • Jiaqing Zhang, Mingxiang Cao, Xue Yang, Weiying Xie, Jie Lei, Daixun Li, Geng Yang, Wenbo Huang, Yunsong Li
Multimodal image fusion and object detection play a vital role in autonomous driving.
no code implementations • 13 Jan 2024 • Kai Jiang, Jiaxing Huang, Weiying Xie, Yunsong Li, Ling Shao, Shijian Lu
Camera-only Bird's Eye View (BEV) has demonstrated great potential in environment perception in a 3D space.
no code implementations • 13 Jan 2024 • Kai Jiang, Jiaxing Huang, Weiying Xie, Yunsong Li, Ling Shao, Shijian Lu
Large-vocabulary object detectors (LVDs) aim to detect objects of many categories, which learn super objectness features and can locate objects accurately while applied to various downstream data.
no code implementations • 10 Jan 2024 • Jiayuan Tian, Jie Lei, Jiaqing Zhang, Weiying Xie, Yunsong Li
Effectively leveraging this data through self-supervised learning (SSL) is vital in the field of remote sensing.
1 code implementation • 6 Jan 2024 • Jiaqing Zhang, Jie Lei, Weiying Xie, Geng Yang, Daixun Li, Yunsong Li
Additionally, the information distribution flow (IDF) in MIVit enhances performance-awareness by distributing global classification information across different modalities' feature maps.
1 code implementation • 6 Jan 2024 • Jiaqing Zhang, Jie Lei, Weiying Xie, Kai Jiang, Mingxiang Cao, Yunsong Li
Accurate cloud recognition and warning are crucial for various applications, including in-flight support, weather forecasting, and climate research.
no code implementations • 2 Jan 2024 • Jitao Ma, Weiying Xie, Yunsong Li
Our method provides a new solution space for HAD that is closer to human visual perception with high confidence.
no code implementations • 29 Dec 2023 • Weiying Xie, Zixuan Wang, Jitao Ma, Daixun Li, Yunsong Li
The key component of RS-DGC is a Neighborhood Statistical Indicator (NSI), which can quantify the importance of gradients within a specified neighborhood on each node to sparsify the local gradients before gradient transmission in each iteration.
no code implementations • 28 Dec 2023 • Mingxiang Cao, Jie Lei, Weiying Xie, Jiaqing Zhang, Daixun Li, Yunsong Li
Deep learning has driven significant progress in object detection using Synthetic Aperture Radar (SAR) imagery.
1 code implementation • 1 Dec 2023 • Weiying Xie, Xiaoyi Fan, Xin Zhang, Yunsong Li, Jie Lei, Leyuan Fang
Pruning-quantization joint learning always facilitates the deployment of deep neural networks (DNNs) on resource-constrained edge devices.
no code implementations • 22 Nov 2023 • Xin Zhang, Jiawei Du, Yunsong Li, Weiying Xie, Joey Tianyi Zhou
Dataset pruning aims to construct a coreset capable of achieving performance comparable to the original, full dataset.
1 code implementation • 16 Nov 2023 • Daixun Li, Weiying Xie, Yunsong Li, Leyuan Fang
Multi-satellite, multi-modality in-orbit fusion is a challenging task as it explores the fusion representation of complex high-dimensional data under limited computational resources.
no code implementations • 16 Nov 2023 • Daixun Li, Weiying Xie, Jiaqing Zhang, Yunsong Li
High-dimensional images, known for their rich semantic information, are widely applied in remote sensing and other fields.
no code implementations • 16 Nov 2023 • Daixun Li, Weiying Xie, Zixuan Wang, YiBing Lu, Yunsong Li, Leyuan Fang
With the rapid development of imaging sensor technology in the field of remote sensing, multi-modal remote sensing data fusion has emerged as a crucial research direction for land cover classification tasks.
1 code implementation • 19 Jul 2023 • Jitao Ma, Weiying Xie, Yunsong Li, Leyuan Fang
We present a novel solution BSDM (background suppression diffusion model) for HAD, which can simultaneously learn latent background distributions and generalize to different datasets for suppressing complex background.
no code implementations • 7 Jul 2023 • Kepeng Xu, Li Xu, Gang He, Wenxin Yu, Yunsong Li
In this study, we address the emerging necessity of converting Standard Dynamic Range Television (SDRTV) content into High Dynamic Range Television (HDRTV) in light of the limited number of native HDRTV content.
no code implementations • 23 May 2023 • Mingjin Zhang, Jiamin Xu, Chengyu He, Wenteng Shang, Yunsong Li, Xinbo Gao
Synthetic aperture radar (SAR) is prevalent in the remote sensing field but is difficult to interpret in human visual perception.
1 code implementation • CVPR 2023 • Shirui Huang, Keyan Wang, Huan Liu, Jun Chen, Yunsong Li
Despite the remarkable achievement of recent underwater image restoration techniques, the lack of labeled data has become a major hurdle for further progress.
1 code implementation • CVPR 2023 • Weiying Xie, Kai Jiang, Yunsong Li, Jie Lei, Leyuan Fang, Wen-jin Guo
Specifically, we create a positive cycle between fusion and degradation estimation under a new probabilistic framework.
1 code implementation • 31 Dec 2022 • Jiaqing Zhang, Jie Lei, Weiying Xie, Yunsong Li, Xiuping Jia
More concretely, we first design a structure called guided quantization self-distillation (GQSD), which is an innovative idea for realizing lightweight through the synergy of quantization and distillation.
Ranked #1 on Object Detection on VEDAI
1 code implementation • IEEE Transactions on Circuits and Systems for Video Technology 2022 • Bobo Xi, Jiaojiao Li, Yan Diao, Yunsong Li, Zan Li, Yan Huang, Jocelyn Chanussot
Specifically, the DGSSC comprises three components, a two-stage encoder, a decoder, and a classifier, which are trained in an end-to-end manner.
1 code implementation • 27 Sep 2022 • Jiaqing Zhang, Jie Lei, Weiying Xie, Zhenman Fang, Yunsong Li, Qian Du
Furthermore, we design a simple and flexible SR branch to learn HR feature representations that can discriminate small objects from vast backgrounds with low-resolution (LR) input, thus further improving the detection accuracy.
Ranked #3 on Object Detection on VEDAI
1 code implementation • journal 2022 • Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Danfeng Hong, Jocelyn Chanussot.
Recently, embedding and metric-based few-shot learning (FSL) has been introduced into hyperspectral image classification (HSIC) and achieved impressive progress.
1 code implementation • journal 2022 • Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Yuchao Xiao, Qian Du,Jocelyn Chanussot
In practice, the acquirement of labeled samples for hyperspectral image (HSI) is time-consuming and labor-intensive.
1 code implementation • 29 Dec 2021 • Chaoxiong Wu, Jiaojiao Li, Rui Song, Yunsong Li, Qian Du
Spectral super-resolution (SSR) refers to the hyperspectral image (HSI) recovery from an RGB counterpart.
1 code implementation • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021 • Yunsong Li, Bobo Xi, Jiaojiao Li, Rui Song, Yuchao Xiao, Jocelyn Chanussot.
To conquer these issues, we propose an efficient symmetric graph metric learning (SGML) framework by incorporating metric learning into the SSGCN paradigm.
1 code implementation • 15 Dec 2021 • Li Xu, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie, Yunsong Li, Yu-Wing Tai
In most video platforms, such as Youtube, and TikTok, the played videos usually have undergone multiple video encodings such as hardware encoding by recording devices, software encoding by video editing apps, and single/multiple video transcoding by video application servers.
1 code implementation • IGARSS 2021 • Bobo Xi, Jiaojiao Li, Yunsong Li, Qian Du
In this paper, we propose a novel semi-supervised graph prototypical network (SSGPN) for high-precise HSIC.
no code implementations • 1 Jan 2021 • Tao Jiang, Weiying Xie, Jie Lei, Yunsong Li, Zan Li
For solving these problems, this paper proposes a sparse coding-inspired generative adversarial network (GAN) for weakly supervised HAD, named sparseHAD.
no code implementations • 1 Jan 2021 • Jiaping Zhong, Weiying Xie, Jie Lei, Yunsong Li, Zan Li
Hyperspectral anomaly detection under high-dimensional data and interference of deteriorated bands without any prior information has been challenging and attracted close attention in the exploration of the unknown in real scenarios.
1 code implementation • 11 Dec 2020 • Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Yuchao Xiao, Yanzi Shi, Qian Du.
Convolutional neural networks (CNNs) have achieved prominent progress in recent years and demonstrated remarkable properties in spectral-spatial hyperspectral image (HSI) classification.
1 code implementation • 22 Sep 2020 • Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Weiwei Sun, Qian Du.
Recently, multiscale spatial features have been widely utilized to improve the hyperspectral image (HSI) classification performance.
1 code implementation • 25 Jun 2020 • Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Yanzi Shi, Songlin Liu, Qian Du
Recently, convolutional neural networks (CNNs) have attracted enormous attention in pattern recognition and demonstrated excellent performance in hyperspectral image (HSI) classification.
1 code implementation • 19 May 2020 • Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu
Recent promising effort for spectral reconstruction (SR) focuses on learning a complicated mapping through using a deeper and wider convolutional neural networks (CNNs).
1 code implementation • CVPR 2017 • Yinlin Hu, Yunsong Li, Rui Song
In this paper, we present a Robust Interpolation method of Correspondences (called RicFlow) to overcome the weakness.
1 code implementation • CVPR 2016 • Yinlin Hu, Rui Song, Yunsong Li
Inspired by the nearest neighbor field (NNF) algorithms, our approach, called CPM (Coarse-to-fine PatchMatch), blends an efficient random search strategy with the coarse-to-fine scheme for optical flow problem.