73 citations · 287 across the 22 of their papers we have counts for
23 papers
GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing
Yujie Li, Jiancheng Pan, Zhiwei Wei +3
Remote sensing offers an unparalleled vantage point for observing the Earth's long-term surface evolution, yet it demands that a model not only perceive land cover at isolated mome…
Graph-RHO: Critical-path-aware Heterogeneous Graph Network for Long-Horizon Flexible Job-Shop Scheduling
Yujie Li, Jiuniu Wang, Mugen Peng +2
Long-horizon Flexible Job-Shop Scheduling~(FJSP) presents a formidable combinatorial challenge due to complex, interdependent decisions spanning extended time horizons. While learn…
Online Specific Emitter Identification via Collision-Alleviated Signal Hash
Hongyu Wang, Wenjia Xu, Guangzuo Li +4
Specific Emitter Identification (SEI) has been widely studied, aiming to distinguish signals from different emitters given training samples from those emitters. However, real-world…
Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention
Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1
Recent advances in image captioning have focused on enhancing accuracy by substantially increasing the dataset and model size. While conventional captioning models exhibit high per…
UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models
Yujie Li, Wenjia Xu, Guangzuo Li +4
The domain gap between remote sensing imagery and natural images has recently received widespread attention and Vision-Language Models (VLMs) have demonstrated excellent generaliza…
RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
Wenjia Xu, Zijian Yu, Boyang Mu +3
Recent advances in Multimodal Large Language Models (MLLMs) have shown promise for remote sensing tasks such as visual question answering and scene understanding. However, existing…
UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization
Wenjia Xu, Yaxuan Yao, Jiaqi Cao +4
The application of unmanned aerial vehicles (UAV) has been widely extended recently. It is crucial to ensure accurate latitude and longitude coordinates for UAVs, especially when t…
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,…
Jointly Optimized Global-Local Visual Localization of UAVs
Haoling Li, Jiuniu Wang, Zhiwei Wei +1
Navigation and localization of UAVs present a challenge when global navigation satellite systems (GNSS) are disrupted and unreliable. Traditional techniques, such as simultaneous l…
ModelScope Text-to-Video Technical Report
Jiuniu Wang, Hangjie Yuan, Dayou Chen +3
This paper introduces ModelScopeT2V, a text-to-video synthesis model that evolves from a text-to-image synthesis model (i.e., Stable Diffusion). ModelScopeT2V incorporates spatio-t…
VideoComposer: Compositional Video Synthesis with Motion Controllability
Xiang Wang, Hangjie Yuan, Shiwei Zhang +6
The pursuit of controllability as a higher standard of visual content creation has yielded remarkable progress in customizable image synthesis. However, achieving controllable vide…
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…
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…
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…
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…
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…
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension
Jiuniu Wang, Xingyu Fu, Guangluan Xu +4
In this paper, we introduce Adversarial-and-attention Network (A3Net) for Machine Reading Comprehension. This model extends existing approaches from two perspectives. First, advers…