Enzweiler, M.[Markus]
* 2005: Unified Target Detection and Tracking Using Motion Coherence
* 2007: Pedestrian Recognition from a Moving Catadioptric Camera
* 2008: mixed generative-discriminative framework for pedestrian classification, A
* 2009: High-Level Fusion of Depth and Intensity for Pedestrian Classification
* 2009: Monocular Pedestrian Detection: Survey and Experiments
* 2010: Integrated pedestrian classification and orientation estimation
* 2010: Multi-cue pedestrian classification with partial occlusion handling
* 2011: Benefits of Dense Stereo for Pedestrian Detection, The
* 2011: Multilevel Mixture-of-Experts Framework for Pedestrian Classification, A
* 2013: Efficient Multi-cue Scene Segmentation
* 2013: Making Bertha See
* 2014: Object-Level Priors for Stixel Generation
* 2014: Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding
* 2015: What Is in Front? Multiple-Object Detection and Tracking with Dynamic Occlusion Handling
* 2016: Cityscapes Dataset for Semantic Urban Scene Understanding, The
* 2017: Tree-Structured Models for Efficient Multi-Cue Scene Labeling
* 2018: Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation
* 2018: Improved Semantic Stixels via Multimodal Sensor Fusion
* 2022: Semantic Scene Completion Using Local Deep Implicit Functions on LiDAR Data
* 2022: SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection From Multi-view Camera Images With Global Cross-Sensor Attention
Includes: Enzweiler, M.[Markus] Enzweiler, M.
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