most citedVision Transformers with Autoencoders and Explainable AI for Cancer Patient Risk Stratification Using Whole Slide Imaging

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition

Hao Feng, Yuanzhe Jia, Ruijia Xu +3

Image recognition techniques heavily rely on abundant labeled data, particularly in medical contexts. Addressing the challenges associated with obtaining labeled data has led to th…