11 citations · 17 across the 4 of their papers we have counts for
4 papers
Swin-Free: Achieving Better Cross-Window Attention and Efficiency with Size-varying Window
Jinkyu Koo, John Yang, Le An +2
Transformer models have shown great potential in computer vision, following their success in language tasks. Swin Transformer is one of them that outperforms convolution-based arch…
Depth Estimation with Simplified Transformer
John Yang, Le An, Anurag Dixit +2
Transformer and its variants have shown state-of-the-art results in many vision tasks recently, ranging from image classification to dense prediction. Despite of their success, lim…
HAWKEYE: Adversarial Example Detector for Deep Neural Networks
Jinkyu Koo, Michael Roth, Saurabh Bagchi
Adversarial examples (AEs) are images that can mislead deep neural network (DNN) classifiers via introducing slight perturbations into original images. Recent work has shown that d…
TRIFECTA: Security, Energy-Efficiency, and Communication Capacity Comparison for Wireless IoT Devices
Shreyas Sen, Jinkyu Koo, Saurabh Bagchi
The widespread proliferation of sensor nodes in the era of Internet of Things (IoT) coupled with increasing sensor fidelity and data acquisition modality is expected to generate 3+…