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Photogrammetry and Remote Sensing Lab's Projects

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[ICCV2021] Code for the paper "Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation"

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[MDPI Remote Sensing 2020] Lake Detection and Lake Ice Monitoring with Webcams and Crowd-​Sourced Images (RGB) using Deep Learning (Deeplabv3+, Tensorflow)

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[CVPRW 2023, Best Paper Award] DeFlow: Self-supervised 3D Motion Estimation of Debris Flow

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[NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation

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[ISPRS Congress 2022, Best Young Author Award] ImpliCity: City Modeling from Satellite Images with Deep Implicit Occupancy Fields

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LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks

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[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

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[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

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[TGRS21] Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations

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[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

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[ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation

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[ICCV 2019] Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation

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🍿POPCORN: High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2 🌍🛰️

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[ISPRS Journal of Photogrammetry and Remote Sensing, 2022] ResDepth: A Deep Residual Prior For 3D Reconstruction From High-resolution Satellite Images

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[ISPRS Congress 2020] Lake Ice Detection from Sentinel-1 SAR with Deep Learning (Deeplabv3+, Tensorflow). The data was collected from Google Earth Engine platform.

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[BMVC2022] Code for paper "Tensorizing 4D Visual Data Along Temporal Dimension"

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Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution

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[ISPRS Annals 2018] Lake Ice Monitoring with Webcam Images (RGB) using Deep Learning (FC-DenseNet, Keras)

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