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Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs.

T. Hackel, M. Usvyatsov, S. Galliani, J. Wegner, and K. Schindler. GCPR, volume 11269 of Lecture Notes in Computer Science, page 597-611. Springer, (2018)

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Dr. -Ing. Timo Strobel University of Stuttgart

Timo Schempp

Timo Mörk University of Stuttgart

Timo Klenk University of Stuttgart

Timo Steidl University of Stuttgart

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A QoS Aware Approach to Service-Oriented Communication in Future Automotive Networks.M. Çakir, T. Häckel, S. Reider, P. Meyer, F. Korf, and T. Schmidt. CoRR, (2019)SDN4CoRE: A Simulation Model for Software-Defined Networking for Communication over Real-Time Ethernet.T. Häckel, P. Meyer, F. Korf, and T. Schmidt. CoRR, (2019)Secure Time-Sensitive Software-Defined Networking in Vehicles.T. Häckel, P. Meyer, F. Korf, and T. Schmidt. CoRR, (2022)Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks.T. Hackel, M. Usvyatsov, S. Galliani, J. Wegner, and K. Schindler. CoRR, (2018)DoS Protection through Credit Based Metering - Simulation Based Evaluation for Time-Sensitive Networking in Cars.P. Meyer, T. Häckel, F. Korf, and T. Schmidt. CoRR, (2019)Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark.T. Hackel, N. Savinov, L. Ladicky, J. Wegner, K. Schindler, and M. Pollefeys. CoRR, (2017)Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs.T. Hackel, M. Usvyatsov, S. Galliani, J. Wegner, and K. Schindler. GCPR, volume 11269 of Lecture Notes in Computer Science, page 597-611. Springer, (2018)Contour Detection in Unstructured 3D Point Clouds.T. Hackel, J. Wegner, and K. Schindler. CVPR, page 1610-1618. IEEE Computer Society, (2016)Software-Defined Networks Supporting Time-Sensitive In-Vehicular Communication.T. Häckel, P. Meyer, F. Korf, and T. Schmidt. VTC Spring, page 1-5. IEEE, (2019)