56 citations · 111 across the 9 of their papers we have counts for
9 papers
Progressive Pseudo-Label Optimization for Point-Supervised Change Detection
Hailong Ning, Hao Wang, Yimeng Wang +3
Point-supervised change detection (PS-CD) aims to identify pixel-level changes between bi-temporal images using only sparsely annotated points. Although point annotations substanti…
ConInfer: Context-Aware Inference for Training-Free Open-Vocabulary Remote Sensing Segmentation
Wenyang Chen, Zhanxuan Hu, Yaping Zhang +2
Training-free open-vocabulary remote sensing segmentation (OVRSS), empowered by vision-language models, has emerged as a promising paradigm for achieving category-agnostic semantic…
Representation Discrepancy Bridging Method for Remote Sensing Image-Text Retrieval
Hailong Ning, Siying Wang, Tao Lei +5
Remote Sensing Image-Text Retrieval (RSITR) plays a critical role in geographic information interpretation, disaster monitoring, and urban planning by establishing semantic associa…
Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection
Tao Lei, Yetong Xu, Hailong Ning +4
Popular Transformer networks have been successfully applied to remote sensing (RS) image change detection (CD) identifications and achieve better results than most convolutional ne…
Delving into Rectifiers in Style-Based Image Translation
Yipeng Zhang, Bingliang Hu, Hailong Ning +1
While modern image translation techniques can create photorealistic synthetic images, they have limited style controllability, thus could suffer from translation errors. In this wo…
Audio-Visual Collaborative Representation Learning for Dynamic Saliency Prediction
Hailong Ning, Bin Zhao, Zhanxuan Hu +2
The Dynamic Saliency Prediction (DSP) task simulates the human selective attention mechanism to perceive the dynamic scene, which is significant and imperative in many vision tasks…
Audio Description from Image by Modal Translation Network
Hailong Ning, Xiangtao Zheng, Yuan Yuan +1
Audio is the main form for the visually impaired to obtain information. In reality, all kinds of visual data always exist, but audio data does not exist in many cases. In order to…
Bio-Inspired Representation Learning for Visual Attention Prediction
Yuan Yuan, Hailong Ning, Xiaoqiang Lu
Visual Attention Prediction (VAP) is a significant and imperative issue in the field of computer vision. Most of existing VAP methods are based on deep learning. However, they do n…
Semantics-Consistent Representation Learning for Remote Sensing Image-Voice Retrieval
Hailong Ning, Bin Zhao, Yuan Yuan
With the development of earth observation technology, massive amounts of remote sensing (RS) images are acquired. To find useful information from these images, cross-modal RS image…