73 citations · 251 across the 20 of their papers we have counts for
20 papers
Deep Semantic-Visual Alignment for Zero-Shot Remote Sensing Image Scene Classification
Wenjia Xu, Jiuniu Wang, Zhiwei Wei +2
Deep neural networks have achieved promising progress in remote sensing (RS) image classification, for which the training process requires abundant samples for each class. However,…
ARAI-MVSNet: A multi-view stereo depth estimation network with adaptive depth range and depth interval
Song Zhang, Wenjia Xu, Zhiwei Wei +3
Multi-View Stereo~(MVS) is a fundamental problem in geometric computer vision which aims to reconstruct a scene using multi-view images with known camera parameters. However, the m…
Linear building pattern recognition via spatial knowledge graph
Wei Zhiwei, Xiao Yi, Tong Ying +2
Building patterns are important urban structures that reflect the effect of the urban material and social-economic on a region. Previous researches are mostly based on the graph is…
Inferring High-level Geographical Concepts via Knowledge Graph and Multi-scale Data Integration: A Case Study of C-shaped Building Pattern Recognition
Zhiwei Wei, Yi Xiao, Wenjia Xu +4
Effective building pattern recognition is critical for understanding urban form, automating map generalization, and visualizing 3D city models. Most existing studies use object-ind…
Distinctive Image Captioning via CLIP Guided Group Optimization
Youyuan Zhang, Jiuniu Wang, Hao Wu +1
Image captioning models are usually trained according to human annotated ground-truth captions, which could generate accurate but generic captions. In this paper, we focus on gener…
Learning Prototype via Placeholder for Zero-shot Recognition
Zaiquan Yang, Yang Liu, Wenjia Xu +3
Zero-shot learning (ZSL) aims to recognize unseen classes by exploiting semantic descriptions shared between seen classes and unseen classes. Current methods show that it is effect…
Multi-dimension Geospatial feature learning for urban region function recognition
Wenjia Xu, Jiuniu Wang, Yirong Wu
Urban region function recognition plays a vital character in monitoring and managing the limited urban areas. Since urban functions are complex and full of social-economic properti…
On Distinctive Image Captioning via Comparing and Reweighting
Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1
Recent image captioning models are achieving impressive results based on popular metrics, i.e., BLEU, CIDEr, and SPICE. However, focusing on the most popular metrics that only cons…
Attribute Prototype Network for Any-Shot Learning
Wenjia Xu, Yongqin Xian, Jiuniu Wang +2
Any-shot image classification allows to recognize novel classes with only a few or even zero samples. For the task of zero-shot learning, visual attributes have been shown to play…
Circular cartograms via the elastic beam algorithm originated from cartographic generalization
Wei Zhiwei, Ding Su, Xu Wenjia +3
The circular cartogram, also known as the Dorling map, is a widely used tool for visualizing statistical data. It represents regions as circles with their areas in proportion to th…
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
Wenjia Xu, Yongqin Xian, Jiuniu Wang +2
Human-annotated attributes serve as powerful semantic embeddings in zero-shot learning. However, their annotation process is labor-intensive and needs expert supervision. Current u…
Human Attention in Fine-grained Classification
Yao Rong, Wenjia Xu, Zeynep Akata +1
The way humans attend to, process and classify a given image has the potential to vastly benefit the performance of deep learning models. Exploiting where humans are focusing can r…
From river flow to spatial flow: flow map via river flow directions assignment algorithm
Zhiwei Wei, Su Ding, Yang Wang +2
Flow maps are thematic maps that visualize object movements across space with a tree layout, in which the underlying tree structure is similar to a natural river system. In this pa…
Group-based Distinctive Image Captioning with Memory Attention
Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1
Describing images using natural language is widely known as image captioning, which has made consistent progress due to the development of computer vision and natural language gene…
High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network
Wenjia Xu, Guangluan Xu, Yang Wang +3
Single image super-resolution is an effective way to enhance the spatial resolution of remote sensing image, which is crucial for many applications such as target detection and ima…
Where is the Model Looking At?--Concentrate and Explain the Network Attention
Wenjia Xu, Jiuniu Wang, Yang Wang +3
Image classification models have achieved satisfactory performance on many datasets, sometimes even better than human. However, The model attention is unclear since the lack of int…
SRQA: Synthetic Reader for Factoid Question Answering
Jiuniu Wang, Wenjia Xu, Xingyu Fu +5
The question answering system can answer questions from various fields and forms with deep neural networks, but it still lacks effective ways when facing multiple evidences. We int…
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition
Jiuniu Wang, Wenjia Xu, Xingyu Fu +2
Named Entity Recognition (NER) is a challenging task that extracts named entities from unstructured text data, including news, articles, social comments, etc. The NER system has be…
Attribute Prototype Network for Zero-Shot Learning
Wenjia Xu, Yongqin Xian, Jiuniu Wang +2
From the beginning of zero-shot learning research, visual attributes have been shown to play an important role. In order to better transfer attribute-based knowledge from known to…
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets
Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1
A wide range of image captioning models has been developed, achieving significant improvement based on popular metrics, such as BLEU, CIDEr, and SPICE. However, although the genera…