Photogrammetry and Remote Sensing Lab's repositories
OverlapPredator
[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
PCAccumulation
[ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation
Diffusion-Super-Resolution
[CVPR 2023] Guided Depth Super-Resolution by Deep Anisotropic Diffusion
PixTransform
[ICCV 2019] Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation
Dynamic-LiDAR-Resimulation
[CVPR 2024, highlight] Dynamic LiDAR Re-simulation using Compositional Neural Fields
PanopticSegForLargeScalePointCloud
Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"
Scene-Recognition-in-3D
[IROS 2020] Indoor Scene Recognition in 3D
graph-super-resolution
[CVPR 2022] Learning Graph Regularisation for Guided Super-Resolution
LoRA-Ensemble
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks
sentinel_lakeice
[ISPRS Congress 2020] Lake Ice Detection from Sentinel-1 SAR with Deep Learning (Deeplabv3+, Tensorflow). The data was collected from Google Earth Engine platform.
FILM-Ensemble
[NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
deeplab-lakeice-webcams
[MDPI Remote Sensing 2020] Lake Detection and Lake Ice Monitoring with Webcams and Crowd-Sourced Images (RGB) using Deep Learning (Deeplabv3+, Tensorflow)
PanopticSegForMobileMappingPointClouds
Source code for paper entitled "A Review of Panoptic Segmentation for Mobile Mapping Point Clouds"
photi-lakeice-dataset
RGB dataset (images from webcams monitoring the two Swiss lakes St. Moritz and Sihl)
Bildverarbeitung
Bildverarbeitung FS2023 at ETH Zurich
ms-convSTAR-swiss-map
[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN