2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CV2021★ 2 cited
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification
Shyam A. Tailor, René de Jong, Tiago Azevedo +2
In recent years graph neural network (GNN)-based approaches have become a popular strategy for processing point cloud data, regularly achieving state-of-the-art performance on a va…
cs.LG2021
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs
Lorena Qendro, Sangwon Ha, René de Jong +1
Quantized neural networks (NN) are the common standard to efficiently deploy deep learning models on tiny hardware platforms. However, we notice that quantized NNs are as vulnerabl…
cs.CV2020
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts
Tiago Azevedo, René de Jong, Matthew Mattina +1
In image classification tasks, the evaluation of models' robustness to increased dataset shifts with a probabilistic framework is very well studied. However, object detection (OD)…