Franke, Uwe

The Cityscapes Dataset for Semantic Urban Scene Understanding

Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., & Schiele, B. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 12,433

The Cityscapes Dataset for Semantic Urban Scene Understanding

Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., & Schiele, B. (2016) · arXiv

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 1,174

Sparsity Invariant CNNs

Uhrig, J., Schneider, N., Schneider, L., Franke, U., Brox, T., & Geiger, A. (2017) · 2017 International Conference on 3D Vision (3DV)

Advanced Neural Network ApplicationsAdvanced Vision and Imaging

Cited by 924

Making Bertha Drive—An Autonomous Journey on a Historic Route

Ziegler, J., Bender, P., Schreiber, M., Lategahn, H., Strauss, T., Stiller, C., Dang, T., Franke, U., Appenrodt, N., Keller, C. G., et al. (2014) · IEEE Intelligent Transportation Systems Magazine

Autonomous Vehicle Technology and SafetyRobotics and Sensor-Based Localization

Cited by 854

Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling

Ramos, S., Gehrig, S., Pinggera, P., Franke, U., & Rother, C. (2017) · 2017 IEEE Intelligent Vehicles Symposium (IV)

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 170

Duality TV-L1 flow with fundamental matrix prior

Wedel, A., Pock, T., Braun, J., Franke, U., & Cremers, D. (2008) · 2008 23rd International Conference Image and Vision Computing New Zealand

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 58

Vision-based lane recognition under adverse weather conditions using optical flow

Gern, A., Moebus, R., & Franke, U. (2003) · Intelligent Vehicle Symposium, 2002. IEEE

Autonomous Vehicle Technology and SafetyAdvanced Vision and Imaging

Cited by 54

Slanted Stixels: Representing San Francisco's Steepest Streets

Hernandez-Juarez, D., Schneider, L., Espinosa, A., Moure, J., Vazquez, D., López, A., Franke, U., & Pollefeys, M. (2017) · Procedings of the British Machine Vision Conference 2017

Autonomous Vehicle Technology and SafetyAdvanced Vision and Imaging

Cited by 53

Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection

Schneider, L., Jasch, M., Fröhlich, B., Weber, T., Franke, U., Pollefeys, M., & Rätsch, M. (2017) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 42