4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling
Steven Grosz, Rui Zhao, Rajeev Ranjan +4
This paper improves upon existing data pruning methods for image classification by introducing a novel pruning metric and pruning procedure based on importance sampling. The propos…
cs.CV2024
Hide and Seek: How Does Watermarking Impact Face Recognition?
Yuguang Yao, Steven Grosz, Sijia Liu +1
The recent progress in generative models has revolutionized the synthesis of highly realistic images, including face images. This technological development has undoubtedly helped f…
cs.CV2023★ 4 cited
Hierarchical Fine-Grained Image Forgery Detection and Localization
Xiao Guo, Xiaohong Liu, Zhiyuan Ren +3
Differences in forgery attributes of images generated in CNN-synthesized and image-editing domains are large, and such differences make a unified image forgery detection and locali…