24 citations · 49 across the 6 of their papers we have counts for
6 papers · 1 filter
DriveXQA: Cross-modal Visual Question Answering for Adverse Driving Scene Understanding
Mingzhe Tao, Ruiping Liu, Junwei Zheng +6
Fusing sensors with complementary modalities is crucial for maintaining a stable and comprehensive understanding of abnormal driving scenes. However, Multimodal Large Language Mode…
On the Limitations of Vision-Language Models in Understanding Image Transforms
Ahmad Mustafa Anis, Hasnain Ali, Saquib Sarfraz
Vision Language Models (VLMs) have demonstrated significant potential in various downstream tasks, including Image/Video Generation, Visual Question Answering, Multimodal Chatbots,…
Activity Recognition on Avatar-Anonymized Datasets with Masked Differential Privacy
David Schneider, Sina Sajadmanesh, Vikash Sehwag +4
Privacy-preserving computer vision is an important emerging problem in machine learning and artificial intelligence. Prevalent methods tackling this problem use differential privac…
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding
Constantin Seibold, Simon Reiß, Saquib Sarfraz +7
In clinical radiology reports, doctors capture important information about the patient's health status. They convey their observations from raw medical imaging data about the inner…
Anchor-free Small-scale Multispectral Pedestrian Detection
Alexander Wolpert, Michael Teutsch, M. Saquib Sarfraz +1
Multispectral images consisting of aligned visual-optical (VIS) and thermal infrared (IR) image pairs are well-suited for practical applications like autonomous driving or visual s…
Efficient Parameter-free Clustering Using First Neighbor Relations
M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen
We present a new clustering method in the form of a single clustering equation that is able to directly discover groupings in the data. The main proposition is that the first neigh…