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