Search Results - "Timm, Fabian"

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges by Feng, Di, Haase-Schutz, Christian, Rosenbaum, Lars, Hertlein, Heinz, Glaser, Claudius, Timm, Fabian, Wiesbeck, Werner, Dietmayer, Klaus

“…Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate scene understanding, autonomous…”
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A Mechanical Stimulation Glove to Induce Hebbian Plasticity at the Fingertip by Timm, Fabian, Kuehn, Esther

“…Repetitive sensory stimulation of the fingertip induces Hebbian plasticity in the sensorimotor cortex that benefits tactile and motor behavior of the hand in…”
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imageseg: An R package for deep learning‐based image segmentation by Niedballa, Jürgen, Axtner, Jan, Döbert, Timm Fabian, Tilker, Andrew, Nguyen, An, Wong, Seth T., Fiderer, Christian, Heurich, Marco, Wilting, Andreas

“…Convolutional neural networks (CNNs) and deep learning are powerful and robust tools for ecological applications, and are particularly suited for image data…”
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Recent Developments in Quantum‐Circuit Refrigeration by Mörstedt, Timm Fabian, Viitanen, Arto, Vadimov, Vasilii, Sevriuk, Vasilii, Partanen, Matti, Hyyppä, Eric, Catelani, Gianluigi, Silveri, Matti, Tan, Kuan Yen, Möttönen, Mikko

“…The recent progress in direct active cooling of the quantum‐electric degrees of freedom in engineered circuits, or quantum‐circuit refrigeration is reviewed…”
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Standard and adjusted criteria for the use of the misoprostol vaginal insert for labor induction: a comparative cohort study by Brandstetter, Aleke, Döbert, Moritz, Schwaerzler, Peter, Döbert, Timm Fabian, Hasselbeck, Hendrik, Henrich, Wolfgang

“…Objective To compare the efficacy of misoprostol vaginal insert (MVI) for labor induction using standard and adjusted criteria. Methods A single-center,…”
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The misoprostol vaginal insert compared with oral misoprostol for labor induction in term pregnancies: a pair-matched case-control study by Döbert, Moritz, Brandstetter, Aleke, Henrich, Wolfgang, Rawnaq, Tamina, Hasselbeck, Hendrik, Döbert, Timm Fabian, Hinkson, Larry, Schwaerzler, Peter

“…To compare the efficacy and safety of the misoprostol vaginal insert (MVI) with an off-label use of oral misoprostol (OM). Pair-matched case-control study…”
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Safety of misoprostol vaginal insert for labor induction using standard vs. adjusted retrieval criteria: a comparative cohort study by Brandstetter, Aleke, Döbert, Moritz, Schwaerzler, Peter, Döbert, Timm Fabian, Hasselbeck, Hendrik, Henrich, Wolfgang

“…Objective To compare the safety of misoprostol vaginal insert (MVI) for labor induction using standard and adjusted criteria. Methods This was a single-center,…”
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SYMOG: Learning symmetric mixture of Gaussian modes for improved fixed-point quantization by Enderich, Lukas, Timm, Fabian, Burgard, Wolfram

“…Deep neural networks (DNNs) have been proven to outperform classical methods on several machine learning benchmarks. However, they have high computational…”
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Recent Developments in Quantum-Circuit Refrigeration by Mörstedt, Timm Fabian, Viitanen, Arto, Vadimov, Vasilii, Sevriuk, Vasilii, Partanen, Matti, Hyyppä, Eric, Catelani, Gianluigi, Silveri, Matti, Tan, Kuan Yen, Möttönen, Mikko

“…Annalen der Physik 534, 2100543 (2022) We review the recent progress in direct active cooling of the quantum-electric degrees freedom in engineered circuits,…”
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Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection by Feng, Di, Rosenbaum, Lars, Timm, Fabian, Dietmayer, Klaus

“…We present a robust real-time LiDAR 3D object detector that leverages heteroscedastic aleatoric uncertainties to significantly improve its detection…”
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Novelty detection for the inspection of light-emitting diodes by Timm, Fabian, Barth, Erhardt

“…We propose novel feature-extraction and classification methods for the automatic visual inspection of manufactured LEDs. The defects are located at the area of…”
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Labels are Not Perfect: Inferring Spatial Uncertainty in Object Detection by Feng, Di, Wang, Zining, Zhou, Yiyang, Rosenbaum, Lars, Timm, Fabian, Dietmayer, Klaus, Tomizuka, Masayoshi, Zhan, Wei

“…The availability of many real-world driving datasets is a key reason behind the recent progress of object detection algorithms in autonomous driving. However,…”
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Holistic Filter Pruning for Efficient Deep Neural Networks by Enderich, Lukas, Timm, Fabian, Burgard, Wolfram

“…Deep neural networks (DNNs) are usually over-parameterized to increase the likelihood of getting adequate initial weights by random initialization…”
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DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections by Ulrich, Michael, Glaser, Claudius, Timm, Fabian

“…This paper presents an novel object type classification method for automotive applications which uses deep learning with radar reflections. The method provides…”
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Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving by Feng, Di, Cao, Yifan, Rosenbaum, Lars, Timm, Fabian, Dietmayer, Klaus

“…This work presents a probabilistic deep neural network that combines LiDAR point clouds and RGB camera images for robust, accurate 3D object detection. We…”
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Inferring Spatial Uncertainty in Object Detection by Wang, Zining, Feng, Di, Zhou, Yiyang, Rosenbaum, Lars, Timm, Fabian, Dietmayer, Klaus, Tomizuka, Masayoshi, Zhan, Wei

“…The availability of real-world datasets is the prerequisite for developing object detection methods for autonomous driving. While ambiguity exists in object…”
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DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections by Ulrich, Michael, Gläser, Claudius, Timm, Fabian

“…This paper presents an novel object type classification method for automotive applications which uses deep learning with radar reflections. The method provides…”
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Holistic Filter Pruning for Efficient Deep Neural Networks by Enderich, Lukas, Timm, Fabian, Burgard, Wolfram

“…Deep neural networks (DNNs) are usually over-parameterized to increase the likelihood of getting adequate initial weights by random initialization…”
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SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization by Enderich, Lukas, Timm, Fabian, Burgard, Wolfram

“…Neurocomputing 2020 Deep neural networks (DNNs) have been proven to outperform classical methods on several machine learning benchmarks. However, they have…”
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Statistical Fourier Descriptors for Defect Image Classification by Timm, F, Martinetz, T

“…In many industrial applications, Fourier descriptors are commonly used when the description of the object shape is an important characteristic of the image…”
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