12 citations · 22 across the 6 of their papers we have counts for
6 papers
Structure Causal Models and LLMs Integration in Medical Visual Question Answering
Zibo Xu, Qiang Li, Weizhi Nie +2
Medical Visual Question Answering (MedVQA) aims to answer medical questions according to medical images. However, the complexity of medical data leads to confounders that are diffi…
FSF-Net: Enhance 4D Occupancy Forecasting with Coarse BEV Scene Flow for Autonomous Driving
Erxin Guo, Pei An, You Yang +2
4D occupancy forecasting is one of the important techniques for autonomous driving, which can avoid potential risk in the complex traffic scenes. Scene flow is a crucial element to…
Towards Deconfounded Image-Text Matching with Causal Inference
Wenhui Li, Xinqi Su, Dan Song +3
Prior image-text matching methods have shown remarkable performance on many benchmark datasets, but most of them overlook the bias in the dataset, which exists in intra-modal and i…
My Brother Helps Me: Node Injection Based Adversarial Attack on Social Bot Detection
Lanjun Wang, Xinran Qiao, Yanwei Xie +3
Social platforms such as Twitter are under siege from a multitude of fraudulent users. In response, social bot detection tasks have been developed to identify such fake users. Due…
T2IW: Joint Text to Image & Watermark Generation
An-An Liu, Guokai Zhang, Yuting Su +3
Recent developments in text-conditioned image generative models have revolutionized the production of realistic results. Unfortunately, this has also led to an increase in privacy…
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation
Lin Li, Long Chen, Hanrong Shi +4
The Scene Graph Generation (SGG) task aims to detect all the objects and their pairwise visual relationships in a given image. Although SGG has achieved remarkable progress over th…