25 citations · 132 across the 68 of their papers we have counts for
3 papers · 1 filter
Revisiting Transformers with Insights from Image Filtering and Boosting
Laziz U. Abdullaev, Maksim Tkachenko, Tan M. Nguyen
The self-attention mechanism, a cornerstone of Transformer-based state-of-the-art deep learning architectures, is largely heuristic-driven and fundamentally challenging to interpre…
Unified Local and Global Attention Interaction Modeling for Vision Transformers
Tan Nguyen, Coy D. Heldermon, Corey Toler-Franklin
We present a novel method that extends the self-attention mechanism of a vision transformer (ViT) for more accurate object detection across diverse datasets. ViTs show strong capab…
A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model
Tan Nguyen, Nhat Ho, Ankit Patel +3
Inspired by the success of Convolutional Neural Networks (CNNs) for supervised prediction in images, we design the Deconvolutional Generative Model (DGM), a new probabilistic gener…