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Name: Photogrammetry and Remote Sensing Lab
Type: Organization
Location: ETH Zurich, Switzerland
Blog: https://prs.igp.ethz.ch
Name: Photogrammetry and Remote Sensing Lab
Type: Organization
Location: ETH Zurich, Switzerland
Blog: https://prs.igp.ethz.ch
Bildverarbeitung FS2023 at ETH Zurich
[ICCV2021] Code for the paper "Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation"
[MDPI Remote Sensing 2020] Lake Detection and Lake Ice Monitoring with Webcams and Crowd-Sourced Images (RGB) using Deep Learning (Deeplabv3+, Tensorflow)
[CVPRW 2023, Best Paper Award] DeFlow: Self-supervised 3D Motion Estimation of Debris Flow
[ECCV 2024] DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
[CVPR 2023] Guided Depth Super-Resolution by Deep Anisotropic Diffusion
[CVPR 2024, highlight] Dynamic LiDAR Re-simulation using Compositional Neural Fields
[NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
[CVPR 2022] Learning Graph Regularisation for Guided Super-Resolution
[ISPRS Congress 2022, Best Young Author Award] ImpliCity: City Modeling from Satellite Images with Deep Implicit Occupancy Fields
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN
[TGRS21] Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations
[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"
Source code for paper entitled "A Review of Panoptic Segmentation for Mobile Mapping Point Clouds"
[ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation
RGB dataset (images from webcams monitoring the two Swiss lakes St. Moritz and Sihl)
[ICCV 2019] Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation
[RSE 2024] 🍿POPCORN: High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2 🌍🛰️
[ISPRS Journal of Photogrammetry and Remote Sensing, 2022] ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images
[IROS 2020] Indoor Scene Recognition in 3D
[ISPRS Congress 2020] Lake Ice Detection from Sentinel-1 SAR with Deep Learning (Deeplabv3+, Tensorflow). The data was collected from Google Earth Engine platform.
[BMVC2022] Code for paper "Tensorizing 4D Visual Data Along Temporal Dimension"
Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution
[ISPRS Annals 2018] Lake Ice Monitoring with Webcam Images (RGB) using Deep Learning (FC-DenseNet, Keras)
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