1 code implementation • 15 May 2025 • Mengqiu Xu, Kaixin Chen, Heng Guo, Yixiang Huang, Ming Wu, Zhenwei Shi, Chuang Zhang, Jun Guo
Deep learning approaches for marine fog detection and forecasting have outperformed traditional methods, demonstrating significant scientific and practical importance.
1 code implementation • 12 Apr 2025 • Yongchang Wu, Zipeng Qi, Zhenwei Shi, Zhengxia Zou
This paper introduces BlockGaussian, a novel framework incorporating a content-aware scene partition strategy and visibility-aware block optimization to achieve efficient and high-quality large-scale scene reconstruction.
no code implementations • 3 Apr 2025 • Chu Han, Bingchao Zhao, Jiatai Lin, Shanshan Lyu, Longfei Wang, Tianpeng Deng, Cheng Lu, Changhong Liang, Hannah Y. Wen, Xiaojing Guo, Zhenwei Shi, Zaiyi Liu
Despite the impressive performance across a wide range of applications, current computational pathology models face significant diagnostic efficiency challenges due to their reliance on high-magnification whole-slide image analysis.
1 code implementation • 20 Mar 2025 • Keyan Chen, Chenyang Liu, Bowen Chen, Wenyuan Li, Zhengxia Zou, Zhenwei Shi
Motivated by the selective attention mechanisms inherent to the human visual system, we propose DynamicVis, a dynamic visual perception foundation model for remote sensing imagery.
1 code implementation • 12 Feb 2025 • Bowen Chen, Keyan Chen, Mohan Yang, Zhengxia Zou, Zhenwei Shi
To address this issue, we introduce a Mixture of Experts (MoE) model and design a set of heterogeneous experts.
no code implementations • 24 Jan 2025 • Zili Liu, Hao Chen, Lei Bai, Wenyuan Li, Zhengxia Zou, Zhenwei Shi
Obtaining accurate weather forecasts at station locations is a critical challenge due to systematic biases arising from the mismatch between multi-scale, continuous atmospheric characteristic and their discrete, gridded representations.
no code implementations • 20 Jan 2025 • Songru Yang, Zili Liu, Zhenwei Shi, Zhengxia Zou
Global Station Weather Forecasting (GSWF), a prominent meteorological research area, is pivotal in providing timely localized weather predictions.
no code implementations • 12 Jan 2025 • Yongshuo Zhu, Lu Li, Keyan Chen, Chenyang Liu, Fugen Zhou, Zhenwei Shi
To address this issue, we introduce a novel approach called Semantic-CD, specifically designed for semantic change detection in remote sensing images.
1 code implementation • 12 Jan 2025 • Keyan Chen, Jiafan Zhang, Chenyang Liu, Zhengxia Zou, Zhenwei Shi
Referring remote sensing image segmentation is crucial for achieving fine-grained visual understanding through free-format textual input, enabling enhanced scene and object extraction in remote sensing applications.
no code implementations • 1 Jan 2025 • Chenyang Liu, Keyan Chen, Rui Zhao, Zhengxia Zou, Zhenwei Shi
On the previous benchmark dataset, Text2Earth outperforms previous models with an improvement of +26. 23 FID and +20. 95% Zero-shot Cls-OA metric. Our project page is \url{https://chen-yang-liu. github. io/Text2Earth}
no code implementations • 8 Dec 2024 • Zipeng Qi, Hao Chen, Haotian Zhang, Zhengxia Zou, Zhenwei Shi
In this paper, we propose a novel semantic splatting approach based on Gaussian Splatting to achieve efficient and low-latency.
1 code implementation • 3 Dec 2024 • Chenyang Liu, Jiafan Zhang, Keyan Chen, Man Wang, Zhengxia Zou, Zhenwei Shi
This survey fills a critical gap in the literature by providing an integrated overview of RSTVLM, offering a foundation for further advancements in remote sensing temporal image understanding.
1 code implementation • 8 Nov 2024 • Shuchang Lyu, Qi Zhao, Guangliang Cheng, Yiwei He, Zheng Zhou, Guangbiao Wang, Zhenwei Shi
This task presents two principal challenges: (1) severe inconsistencies in feature representation across different remote sensing domains, and (2) a domain gap that emerges due to the representation bias of source domain patterns when translating features to predictive logits.
1 code implementation • 14 Oct 2024 • Jianqi Chen, Panwen Hu, Xiaojun Chang, Zhenwei Shi, Michael Christian Kampffmeyer, Xiaodan Liang
Recent advancements in human motion synthesis have focused on specific types of motions, such as human-scene interaction, locomotion or human-human interaction, however, there is a lack of a unified system capable of generating a diverse combination of motion types.
1 code implementation • 20 Sep 2024 • Sen Lei, Xinyu Xiao, Tianlin Zhang, Heng-Chao Li, Zhenwei Shi, Qing Zhu
Given a language expression, referring remote sensing image segmentation (RRSIS) aims to identify ground objects and assign pixel-wise labels within the imagery.
no code implementations • 22 Aug 2024 • Xiaozhe Zhang, Fengying Xie, Haidong Ding, Linpeng Pan, Zhenwei Shi
Most dehazing methods suffer from limited receptive field and do not explore the rich semantic prior encapsulated in vision-language models, which have proven effective in downstream tasks.
no code implementations • 20 Aug 2024 • Zili Liu, Hao Chen, Lei Bai, Wenyuan Li, Wanli Ouyang, Zhengxia Zou, Zhenwei Shi
In an era of frequent extreme weather and global warming, obtaining precise, fine-grained near-surface weather forecasts is increasingly essential for human activities.
1 code implementation • 22 Jul 2024 • Kaiyu Li, Jiawei Jiang, Andrea Codegoni, Chengxi Han, Yupeng Deng, Keyan Chen, Zhuo Zheng, Hao Chen, Zhengxia Zou, Zhenwei Shi, Sheng Fang, Deyu Meng, Zhi Wang, Xiangyong Cao
We present Open-CD, a change detection toolbox that contains a rich set of change detection methods as well as related components and modules.
1 code implementation • 22 Jul 2024 • Bo Yuan, Danpei Zhao, Zhenwei Shi
Concretely, the proposed decoupling manner includes two ways, i. e., channel-wise decoupling and spatial-level neuron-relevant semantic consistency.
no code implementations • 19 Jul 2024 • Yongshuo Zhu, Lu Li, Keyan Chen, Chenyang Liu, Fugen Zhou, Zhenwei Shi
Remote sensing image change captioning (RSICC) aims to articulate the changes in objects of interest within bi-temporal remote sensing images using natural language.
no code implementations • 15 Jul 2024 • Hang Li, Qiankun Dong, Xueshuo Xie, Xia Xu, Tao Li, Zhenwei Shi
To effectively perform multitemporal hyperspectral image unmixing, we introduce two key modules: the Global Awareness Module (GAM) and the Change Enhancement Module (CEM).
no code implementations • 4 Jul 2024 • Zhe Gao, Bin Pan, Zhenwei Shi
In this paper, we only rely on spectral information to solve the hyperspectral-monospectra problem, and propose a Convergence and Error-Constrained Conditional Domain Generalization method for Hyperspectral Imagery Classification (C$^3$DG).
1 code implementation • 19 Jun 2024 • Mengqiu Xu, Ming Wu, Kaixin Chen, Yixiang Huang, Mingrui Xu, Yujia Yang, Yiqing Feng, Yiying Guo, Bin Huang, Dongliang Chang, Zhenwei Shi, Chuang Zhang, Zhanyu Ma, Jun Guo
Marine fog poses a significant hazard to global shipping, necessitating effective detection and forecasting to reduce economic losses.
1 code implementation • 15 Jun 2024 • Chenyao Zhou, Haotian Zhang, Han Guo, Zhengxia Zou, Zhenwei Shi
Recently some multi-task learning based semantic change detection methods have been proposed to decompose the task into semantic segmentation and binary change detection subtasks.
no code implementations • 9 Jun 2024 • Zongbin Wang, Bin Pan, Zhenwei Shi
In DRM theory, we prove that reducing the discrepancy of prediction distribution between overall source domain and any subset of it can contribute to obtaining invariant features.
no code implementations • 9 Jun 2024 • Zongbin Wang, Bin Pan, Shiyu Shen, Tianyang Shi, Zhenwei Shi
In summary, we offer a new fine-tuning method for DG algorithms to utilize pre-trained models throughout the fine-tuning process.
3 code implementations • 6 Jun 2024 • Haotian Zhang, Keyan Chen, Chenyang Liu, Hao Chen, Zhengxia Zou, Zhenwei Shi
Specifically, the Scaled Residual ConvMamba (SRCM) block is proposed to utilize the ability of Mamba to extract global features and convolution to enhance the local details, to alleviate the issue that current Mamba-based methods lack detailed clues and are difficult to achieve fine detection in dense prediction tasks.
Ranked #5 on
Change Detection
on WHU-CD
no code implementations • 22 May 2024 • Zhiping Yu, Chenyang Liu, Liqin Liu, Zhenwei Shi, Zhengxia Zou
To achieve unbounded and arbitrary-sized image generation, we design a novel noise sampling strategy for denoising diffusion models by analyzing the generation conditions and initial noise.
1 code implementation • 29 Apr 2024 • Chenyang Liu, Keyan Chen, Bowen Chen, Haotian Zhang, Zhengxia Zou, Zhenwei Shi
In terms of efficient temporal modeling, considering the potential correlation between the temporal scanning characteristics of Mamba and the temporality of the RSICC, we propose the Temporal-Traversing SSM (TT-SSM), which scans bi-temporal features in a temporal cross-wise manner, enhancing the model's temporal understanding and information interaction.
no code implementations • 5 Apr 2024 • Junbo Li, Keyan Chen, Gengju Tian, Lu Li, Zhenwei Shi
The Mini-ASPP and PSA are specifically designed for shadow feature enhancement, thereby enabling the expression of local details and small objects.
1 code implementation • 28 Mar 2024 • Chenyang Liu, Keyan Chen, Haotian Zhang, Zipeng Qi, Zhengxia Zou, Zhenwei Shi
Remote sensing satellite imagery offers a unique perspective for monitoring these changes, leading to the emergence of remote sensing image change interpretation (RSICI) as a significant research focus.
3 code implementations • 28 Mar 2024 • Keyan Chen, Bowen Chen, Chenyang Liu, Wenyuan Li, Zhengxia Zou, Zhenwei Shi
Remote sensing image classification forms the foundation of various understanding tasks, serving a crucial function in remote sensing image interpretation.
1 code implementation • IEEE Transactions on Geoscience and Remote Sensing 2024 • Haotian Zhang, Hao Chen, Chenyao Zhou, Keyan Chen, Chenyang Liu, Zhengxia Zou, Zhenwei Shi
Despite the success of deep learning-based change detection (CD) methods, their existing insufficiency in temporal (channel and spatial) and multiscale alignment has rendered them insufficient capability in mitigating external factors (illumination changes and perspective differences) arising from different imaging conditions during CD.
Ranked #2 on
Change Detection
on WHU-CD
1 code implementation • 22 Jan 2024 • Zili Liu, Hao Chen, Lei Bai, Wenyuan Li, Keyan Chen, Zhengyi Wang, Wanli Ouyang, Zhengxia Zou, Zhenwei Shi
In this paper, we extend meteorological downscaling to arbitrary scattered station scales, establish a brand new benchmark and dataset, and retrieve meteorological states at any given station location from a coarse-resolution meteorological field.
no code implementations • 17 Jan 2024 • Zili Liu, Hao Chen, Wenyuan Li, Keyan Chen, Zipeng Qi, Chenyang Liu, Zhengxia Zou, Zhenwei Shi
This paper is the first to consider the impact of label noise on the detection of clouds and snow in remote sensing images.
1 code implementation • 4 Jan 2024 • Wenyuan Li, Zili Liu, Keyan Chen, Hao Chen, Shunlin Liang, Zhengxia Zou, Zhenwei Shi
Next, we construct hyper-networks based on deep learning methods to directly learn weather patterns from a large amount of meteorological data.
no code implementations • 23 Dec 2023 • Chenyang Liu, Keyan Chen, Zipeng Qi, Haotian Zhang, Zhengxia Zou, Zhenwei Shi
The existing methods for Remote Sensing Image Change Captioning (RSICC) perform well in simple scenes but exhibit poorer performance in complex scenes.
3 code implementations • 23 Dec 2023 • Keyan Chen, Chengyang Liu, Wenyuan Li, Zili Liu, Hao Chen, Haotian Zhang, Zhengxia Zou, Zhenwei Shi
Change detection, a prominent research area in remote sensing, is pivotal in observing and analyzing surface transformations.
Ranked #11 on
Change Detection
on LEVIR-CD
1 code implementation • 16 Dec 2023 • Wentao Li, Danpei Zhao, Bo Yuan, Yue Gao, Zhenwei Shi
Fine-grained object detection (FGOD) extends object detection with the capability of fine-grained recognition.
no code implementations • 25 Oct 2023 • Shiyu Shen, Bin Pan, Tianyang Shi, Tao Li, Zhenwei Shi
We first propose a theorem to show that the invariant posterior of parameters can be implicitly inferred by aggregating posteriors on different training domains.
no code implementations • 19 Oct 2023 • Shiyu Shen, Bin Pan, Tianyang Shi, Tao Li, Zhenwei Shi
Bayesian Neural Networks (BNNs) have become one of the promising approaches for uncertainty estimation due to the solid theorical foundations.
no code implementations • 27 Sep 2023 • Danpei Zhao, Bo Yuan, Zhenwei Shi
In this paper, we propose to address CISS without exemplar memory and resolve catastrophic forgetting as well as semantic drift synchronously.
Class-Incremental Semantic Segmentation
Contrastive Learning
+2
no code implementations • 11 Aug 2023 • Yapeng Meng, Songru Yang, Xu Hu, Rui Zhao, Lincheng Li, Zhenwei Shi, Zhengxia Zou
Our method can also be flexibly extended to real-time video face editing.
1 code implementation • 17 Jul 2023 • Jianqi Chen, Yilan Zhang, Zhengxia Zou, Keyan Chen, Zhenwei Shi
Initially, we employ a pretrained vision-language model (VLM) to generate descriptions for the composite image.
1 code implementation • 12 Jul 2023 • Hao Wang, Jiatai Lin, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Xipeng Pan, Huadeng Wang, Bingbing Li, Changhong Liang, Guoqiang Han, Li Liang, Chu Han, Zaiyi Liu
And the feature diversity is preserved by inter- and intra- class feature diversity-preserved module (InCDP).
1 code implementation • 28 Jun 2023 • Keyan Chen, Chenyang Liu, Hao Chen, Haotian Zhang, Wenyuan Li, Zhengxia Zou, Zhenwei Shi
We also propose several ongoing derivatives for instance segmentation tasks, drawing on recent advancements within the SAM community, and compare their performance with RSPrompter.
1 code implementation • 24 May 2023 • Hao Chen, Haotian Zhang, Keyan Chen, Chenyao Zhou, Song Chen, Zhengxia Zou, Zhenwei Shi
Toward continuous cross-resolution CD, we propose scale-invariant learning to enforce the model consistently predicting HR results given synthesized samples of varying resolution differences.
1 code implementation • 14 May 2023 • Jianqi Chen, Hao Chen, Keyan Chen, Yilan Zhang, Zhengxia Zou, Zhenwei Shi
Many existing adversarial attacks generate $L_p$-norm perturbations on image RGB space.
no code implementations • 15 Mar 2023 • Zipeng Qi, Hao Chen, Chenyang Liu, Zhenwei Shi, Zhengxia Zou
In the first stage, we optimize a neural field to encode the color and 3D structure of the remote sensing scene based on multi-view images.
1 code implementation • 3 Mar 2023 • Jianqi Chen, Yilan Zhang, Zhengxia Zou, Keyan Chen, Zhenwei Shi
High-resolution (HR) image harmonization is of great significance in real-world applications such as image synthesis and image editing.
Ranked #8 on
Image Harmonization
on iHarmony4
no code implementations • CVPR 2023 • Rui Zhao, Wei Li, Zhipeng Hu, Lincheng Li, Zhengxia Zou, Zhenwei Shi, Changjie Fan
In our method, taking the power of large-scale pre-trained multi-modal CLIP and neural rendering, T2P searches both continuous facial parameters and discrete facial parameters in a unified framework.
1 code implementation • 1 Mar 2023 • Chenyang Liu, Jiajun Yang, Zipeng Qi, Zhengxia Zou, Zhenwei Shi
To sufficiently utilize the extracted multi-scale features for captioning, we propose a scale-aware reinforcement (SR) module and combine it with the Transformer decoding layer to progressively utilize the features from different PDP layers.
1 code implementation • 24 Feb 2023 • Tianpeng Deng, Yanqi Huang, Guoqiang Han, Zhenwei Shi, Jiatai Lin, Qi Dou, Zaiyi Liu, Xiao-jing Guo, C. L. Philip Chen, Chu Han
In this paper, we propose a universal and lightweight federated learning framework, named Federated Deep-Broad Learning (FedDBL), to achieve superior classification performance with limited training samples and only one-round communication.
1 code implementation • 16 Feb 2023 • Keyan Chen, Wenyuan Li, Sen Lei, Jianqi Chen, XiaoLong Jiang, Zhengxia Zou, Zhenwei Shi
Despite its fruitful applications in remote sensing, image super-resolution is troublesome to train and deploy as it handles different resolution magnifications with separate models.
no code implementations • 15 Jul 2022 • Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin, Bingchao Zhao, Zhenwei Shi, Bingjiang Qiu, Xipeng Pan, Zeyan Xu, Biao Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu, Chu Han
To bridge the gap between Transformer and CNN features, we propose a Trans&CNN Feature Calibration block (TCFC) in the decoder.
1 code implementation • 27 May 2022 • Hao Chen, Wenyuan Li, Song Chen, Zhenwei Shi
To achieve this, we obtain multiple points via class-balanced sampling on the overlapped area between views using the semantic mask.
1 code implementation • 18 May 2022 • Yongchang Wu, Zhengxia Zou, Zhenwei Shi
In this paper, we propose a novel remote sensing view synthesis method by leveraging the recent advances in implicit neural representations.
no code implementations • 17 May 2022 • Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zaiyi Liu, Ying Wang, Changhong Liang
In this study, we propose a novel ROI-free model for breast cancer diagnosis in ultrasound images with interpretable feature representations.
no code implementations • 13 Apr 2022 • Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu
According to the technical reports of the top-tier teams, CAM is still the most popular approach in WSSS.
Data Augmentation
Weakly supervised Semantic Segmentation
+1
no code implementations • 27 Feb 2022 • Zili Liu, Kun Hao, Xiaoyi Geng, Zhenwei Shi
Tropical cyclone (TC) is an extreme tropical weather system and its trajectory can be described by a variety of spatio-temporal data.
no code implementations • 15 Jan 2022 • Hao Chen, Yifan Zao, Liqin Liu, Song Chen, Zhenwei Shi
Here, we propose a semantic decoupled representation learning for RS image CD.
1 code implementation • Remote Sens. 2021 • Keyan Chen, Zhengxia Zou, Zhenwei Shi
Deep learning methods have achieved considerable progress in remote sensing image building extraction.
Building change detection for remote sensing images
Extracting Buildings In Remote Sensing Images
no code implementations • 4 Nov 2021 • Jiatai Lin, Guoqiang Han, Xipeng Pan, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Zaiyi Liu, Chu Han
Histopathological tissue classification is a fundamental task in pathomics cancer research.
1 code implementation • 14 Oct 2021 • Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Xiaowei Xu, Su Yao, Lixu Yan, Huan Lin, Zeyan Xu, Xiaomei Huang, Guoqiang Han, Changhong Liang, Zaiyi Liu
In the segmentation phase, we achieved tissue semantic segmentation by our proposed Multi-Layer Pseudo-Supervision.
1 code implementation • 12 Jul 2021 • Wenyuan Li, Keyan Chen, Hao Chen, Zhenwei Shi
The proliferation of remote sensing satellites has resulted in a massive amount of remote sensing images.
no code implementations • 29 Apr 2021 • Junhua Chen, Haiyan Zeng, Chong Zhang, Zhenwei Shi, Andre Dekker, Leonard Wee, Inigo Bermejo
In this article, we treat lung cancer diagnosis as a multiple instance learning (MIL) problem in order to better reflect the diagnosis process in the clinical setting and for the higher interpretability of the output.
1 code implementation • IEEE Transactions on Geoscience and Remote Sensing 2021 • Hao Chen, Wenyuan Li, Zhenwei Shi
The key of IAug is to blend synthesized building instances onto appropriate positions of one of the bitemporal images.
Ranked #34 on
Building change detection for remote sensing images
on LEVIR-CD
(using extra training data)
Building change detection for remote sensing images
Change Detection
+1
no code implementations • 7 Mar 2021 • Zhenjie Tang, Qing Xu, Zhenwei Shi, Bin Pan
To be specific, we develop a new Feedback Structure and a Local-Global Spectral Block to alleviate the difficulty in spatial and spectral feature extraction.
5 code implementations • 27 Feb 2021 • Hao Chen, Zipeng Qi, Zhenwei Shi
To achieve this, we express the bitemporal image into a few tokens, and use a transformer encoder to model contexts in the compact token-based space-time.
Building change detection for remote sensing images
Change Detection
1 code implementation • 31 Dec 2020 • Zhengxia Zou, Tianyang Shi, Yi Yuan, Zhenwei Shi
This paper studies an interesting question that whether a deep CNN can be trained to recover the depth behind an autostereogram and understand its content.
4 code implementations • CVPR 2021 • Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi
Different from previous image-to-image translation methods that formulate the translation as pixel-wise prediction, we deal with such an artistic creation process in a vectorized environment and produce a sequence of physically meaningful stroke parameters that can be further used for rendering.
5 code implementations • Remote Sensing 2020 • Hao Chen, Zhenwei Shi
Remote sensing image change detection (CD) is done to identify desired significant changes between bitemporal images.
no code implementations • ICCV 2019 • Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong liu
Character customization system is an important component in Role-Playing Games (RPGs), where players are allowed to edit the facial appearance of their in-game characters with their own preferences rather than using default templates.
1 code implementation • 13 May 2019 • Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye
Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years.