19 citations · 19 across the 4 of their papers we have counts for
3 papers · 1 filter
BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks
Manoj Rohit Vemparala, Alexander Frickenstein, Nael Fasfous +8
Deploying convolutional neural networks (CNNs) for embedded applications presents many challenges in balancing resource-efficiency and task-related accuracy. These two aspects have…
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks
Alexander Frickenstein, Manoj-Rohit Vemparala, Nael Fasfous +4
Closing the gap between the hardware requirements of state-of-the-art convolutional neural networks and the limited resources constraining embedded applications is the next big cha…
SafeCritic: Collision-Aware Trajectory Prediction
Tessa van der Heiden, Naveen Shankar Nagaraja, Christian Weiss +1
Navigating complex urban environments safely is a key to realize fully autonomous systems. Predicting future locations of vulnerable road users, such as pedestrians and cyclists, t…