19 citations · 19 across the 5 of their papers we have counts for
6 papers
Masked Swingers: Harnessing Data Augmentation to Advance Autoencoders for Self-Supervised Learning
Anthony Fuller, Scott C. Lowe, Daniel G. Kyrollos +3
Self-supervised learning (SSL) removes the need for annotations and makes models that are capable across more domains than supervised learning. The autoencoder SSL framework learns…
LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision
Anthony Fuller, Yousef Yassin, Junfeng Wen +4
Vision transformers are ever larger, more accurate, and more expensive to compute. The expense is even more extreme at high resolution as the number of tokens grows quadratically w…
Thicker and Quicker: A Jumbo Token for Fast Plain Vision Transformers
Anthony Fuller, Yousef Yassin, Daniel G. Kyrollos +2
ViTs are general and accurate, and address many tasks, but ViTs are slow, and are not always practical when efficiency is key. Existing methods for faster ViTs design hybrid non-Vi…
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate
Anthony Fuller, Daniel G. Kyrollos, Yousef Yassin +1
High-resolution images offer more information about scenes that can improve model accuracy. However, the dominant model architecture in computer vision, the vision transformer (ViT…
Generalized Reciprocal Perspective
Kevin Dick, Daniel G. Kyrollos, James R. Green
Across many domains, real-world problems can be represented as a network. Nodes represent domain-specific elements and edges capture the relationship between elements. Leveraging h…
Under the Cover Infant Pose Estimation using Multimodal Data
Daniel G. Kyrollos, Anthony Fuller, Kim Greenwood +2
Infant pose monitoring during sleep has multiple applications in both healthcare and home settings. In a healthcare setting, pose detection can be used for region of interest detec…