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09/11/2023
Collective PV-RCNN: A Novel Fusion Technique using Collective Detections for Enhanced Local LiDAR-Based Perception
Comprehensive perception of the environment is crucial for the safe oper...
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09/08/2022
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices
The increasing spread of artificial neural networks does not stop at ult...
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05/31/2022
HW-Aware Initialization of DNN Auto-Tuning to Improve Exploration Time and Robustness
The process of optimizing the latency of DNN operators with ML models an...
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09/15/2021
Behavior of Keyword Spotting Networks Under Noisy Conditions
Keyword spotting (KWS) is becoming a ubiquitous need with the advancemen...
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06/07/2021
Verification of Component Fault Trees Using Error Effect Simulations
The growing complexity of safety-relevant systems causes an increasing e...
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04/27/2021
Adapting ImageNet-scale models to complex distribution shifts with self-learning
While self-learning methods are an important component in many recent do...
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06/30/2020
Improving robustness against common corruptions by covariate shift adaptation
Today's state-of-the-art machine vision models are vulnerable to image c...
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01/16/2020
Increasing the robustness of DNNs against image corruptions by playing the Game of Noise
The human visual system is remarkably robust against a wide range of nat...
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07/17/2019
