3 citations · 11 across the 20 of their papers we have counts for
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RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering
Xing Zi, Jinghao Xiao, Yunxiao Shi +4
Visual Question Answering (VQA) in remote sensing (RS) is pivotal for interpreting Earth observation data. However, existing RS VQA datasets are constrained by limitations in annot…
Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology
Yanjie Wu, Yuhao Ji, Saiho Lee +3
The complexities of healthcare data, including privacy concerns, imbalanced datasets, and interoperability issues, necessitate innovative machine learning solutions. Swarm Learning…
Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering
Ali Anaissi, Junaid Akram, Kunal Chaturvedi +1
Memes are widely used for humor and cultural commentary, but they are increasingly exploited to spread hateful content. Due to their multimodal nature, hateful memes often evade tr…
DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning
Yining Zhao, Ali Braytee, Mukesh Prasad
Medical image captioning via vision-language models has shown promising potential for clinical diagnosis assistance. However, generating contextually relevant descriptions with acc…
AeroLite: Tag-Guided Lightweight Generation of Aerial Image Captions
Xing Zi, Tengjun Ni, Xianjing Fan +4
Accurate and automated captioning of aerial imagery is crucial for applications like environmental monitoring, urban planning, and disaster management. However, this task remains c…
Vision Transformers with Autoencoders and Explainable AI for Cancer Patient Risk Stratification Using Whole Slide Imaging
Ahmad Hussein, Mukesh Prasad, Ali Anaissi +1
Cancer remains one of the leading causes of mortality worldwide, necessitating accurate diagnosis and prognosis. Whole Slide Imaging (WSI) has become an integral part of clinical w…
FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation
Yuxin Miao, Xinyuan Yang, Hongda Fan +6
Gastric cancer is one of the most commonly diagnosed cancers and has a high mortality rate. Due to limited medical resources, developing machine learning models for gastric cancer…
Enhancing Sentiment Analysis through Multimodal Fusion: A BERT-DINOv2 Approach
Taoxu Zhao, Meisi Li, Kehao Chen +6
Multimodal sentiment analysis enhances conventional sentiment analysis, which traditionally relies solely on text, by incorporating information from different modalities such as im…
Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing
Xing Zi, Kairui Jin, Xian Tao +4
Pixel-level segmentation is essential in remote sensing, where foundational vision models like CLIP and Segment Anything Model(SAM) have demonstrated significant capabilities in ze…