191 results on '"Schindler, Konrad"'
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2. A high-resolution canopy height model of the Earth
3. Context-aware multi-head self-attentional neural network model for next location prediction
4. Global, spatially explicit modelling of zenith wet delay with XGBoost
5. BARC: Breed-Augmented Regression Using Classification for 3D Dog Reconstruction from Images
6. Automated forest inventory: Analysis of high-density airborne LiDAR point clouds with 3D deep learning
7. Cocoa plantations are associated with deforestation in Côte d’Ivoire and Ghana
8. Accuracy and consistency of space-based vegetation height maps for forest dynamics in alpine terrain
9. Context-aware multi-head self-attentional neural network model for next location prediction
10. A Review of panoptic segmentation for mobile mapping point clouds
11. Semantic segmentation of mobile mapping point clouds via multi-view label transfer
12. Artificial neural networks for assessing forest fire susceptibility in Türkiye
13. Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery
14. Fine-grained population mapping from coarse census counts and open geodata
15. ResDepth: A deep residual prior for 3D reconstruction from high-resolution satellite images
16. Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles
17. Flood Water Depth Prediction with Convolutional Temporal Attention Networks.
18. Digital taxonomist: Identifying plant species in community scientists’ photographs
19. A novel Structure from Motion-based approach to underwater pile field documentation
20. Crop mapping from image time series: Deep learning with multi-scale label hierarchies
21. Mapping oil palm density at country scale: An active learning approach
22. MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking
23. Photometric multi-view mesh refinement for high-resolution satellite images
24. Interactive Snow Avalanche Segmentation from Webcam Imagery: results, potential and limitations.
25. Country-wide high-resolution vegetation height mapping with Sentinel-2
26. 3D Fluid Flow Estimation with Integrated Particle Reconstruction
27. Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs
28. Practical optimal registration of terrestrial LiDAR scan pairs
29. Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network
30. Three Centuries of Snowpack Decline at an Alpine Pass Revealed by Cosmogenic Paleothermometry and Luminescence Photochronometry.
31. From Google Maps to a fine-grained catalog of street trees
32. Joint classification and contour extraction of large 3D point clouds
33. Avalanche size estimation and avalanche outline determination by experts: reliability and implications for practice.
34. Recent developments in large-scale tie-point matching
35. Street-side vehicle detection, classification and change detection using mobile laser scanning data
36. High-concentration solar dishes based on pneumatic reflecting membranes
37. Globally consistent registration of terrestrial laser scans via graph optimization
38. Road networks as collections of minimum cost paths
39. Keypoint-based 4-Points Congruent Sets – Automated marker-less registration of laser scans
40. Domain adaptation in segmenting historical maps: A weakly supervised approach through spatial co-occurrence.
41. 3D Scene Flow Estimation with a Piecewise Rigid Scene Model
42. Towards Scene Understanding with Detailed 3D Object Representations
43. Flood Uncertainty Estimation Using Deep Ensembles.
44. Automated avalanche mapping from SPOT 6/7 satellite imagery with deep learning: results, evaluation, potential and limitations.
45. Gating Revisited: Deep Multi-Layer RNNs That can be Trained.
46. Automatic detection and tracking of pedestrians from a moving stereo rig
47. Recognizing emotions expressed by body pose: A biologically inspired neural model
48. Robust multiperson tracking from a mobile platform
49. A Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences
50. Automated avalanche mapping from SPOT 6/7 satellite imagery: results, evaluation, potential and limitations.
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