MSc · 3D Wildfire Fuel

Reading

PaperYearVenueStatusCode
FlexTok: Resampling Images into 1D Token Sequences of Flexible Length
Roman Bachmann et al.		2025ICML 2025To readrepository
Token Cropr: Faster ViTs for Quite a Few Tasks
Benjamin Bergner et al.		2025CVPR 2025To readrepository
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Christopher Choy et al.		2019CVPR 2019To readrepository
Learning to Sample
Oren Dovrat et al.		2019CVPR 2019To readrepository
From Wood–Foliar Semantics to 3D Fuel Characterization: Transferable Deep Learning for Terrestrial LiDAR Across Global Forest Ecosystems
Nadeem Fareed et al.		2026Remote Sensing 2026To read—
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Yarin Gal et al.		2016ICML 2016To readrepository
Advancing terrestrial laser scanning for 3D classification of Spanish moss (Tillandsia usneoides L.) using unsupervised, machine learning, and deep learning methods
Alexander J. Gaskins et al.		2026Scientific Reports 2026To read—
EZ-SP: Fast and Lightweight Superpoint-Based 3D Segmentation
Louis Geist et al.		2026ICRA 2026To readrepository
Modelling the vertical distribution of canopy fuel load using national forest inventory and low-density airbone laser scanning data
Eduardo González-Ferreiro et al.		2017PLOS ONE 2017To read—
Remote Sensing ChatGPT: Solving Remote Sensing Tasks with ChatGPT and Visual Models
Haonan Guo et al.		2024IGARSS 2024To readrepository
Ladder fuels rather than canopy volumes consistently predict wildfire severity even in extreme topographic-weather conditions
Christopher R. Hakkenberg et al.		2024Communications Earth & Environment 2024To read—
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds
Jonathan Henrich et al.		2024Ecological Informatics 2024To readrepository
Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans
Ekaterina Kalinicheva et al.		2022CVPR Workshops 2022To readrepository
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan et al.		2017NeurIPS 2017To read—
SampleNet: Differentiable Point Cloud Sampling
Itai Lang et al.		2020CVPR 2020To readrepository
FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction
Donghyun Lee et al.		2025ICCV 2025To read—
PointMamba: A Simple State Space Model for Point Cloud Analysis
Dingkang Liang et al.		2024NeurIPS 2024To readrepository
CoverPrune: Coverage-Driven Token Pruning for 3D VLMs via Optimal Transport
Peng Ling et al.		2026ECCV 2026To read—
Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis
Chenyang Liu et al.		2024IEEE TGRS 2024To readrepository
Serialization Based Point Cloud Oversegmentation
Chenghui Lu et al.		2025ICCV 2025To read—
SSC-Priors: Exploring Semantic and Visibility Priors to Boost Lidar Semantic Scene Completion
Tetiana Martyniuk et al.		2026arXiv 2026To read—
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees
Stefano Puliti et al.		2023arXiv 2023To read—
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Charles R. Qi et al.		2017CVPR 2017To readrepository
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles R. Qi et al.		2017NeurIPS 2017To readrepository
Efficient 3D Semantic Segmentation with Superpoint Transformer
Damien Robert et al.		2023ICCV 2023To readrepository
Context-Aware Multi-Agent Architecture for Wildfire Insights
Ashen Sandeep et al.		2026Sensors 2026To read—
Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation
Tanner Schmidt et al.		2025CVPR 2025To read—
MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing
Feifei Shao et al.		2025CVPR 2025To read—
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots
Simranjit Singh et al.		2024CVPR Workshops 2024To read—
Mitigating Geometric Degradation in Fast DownSampling via FastAdapter for Point Cloud Segmentation
Shuofeng Sun et al.		2025ICCV 2025To read—
3D Forest Semantic Segmentation Using Multispectral LiDAR and 3D Deep Learning
Narges Takhtkeshha et al.		2025PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation ScienceReading—
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon et al.		2016ICPR 2016To readrepository
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas et al.		2019ICCV 2019To readrepository
Sampling Innovation-Based Adaptive Compressive Sensing
Zhifu Tian et al.		2025CVPR 2025To read—
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
Tuan Anh Tran et al.		2025NeurIPS 2025To read—
LadderFuelsR: A new automated tool for vertical fuel continuity analysis and crown base height detection using light detection and ranging
Olga Viedma et al.		2024Methods in Ecology and Evolution 2024To readrepository
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data
Maciej Wielgosz et al.		2024Remote Sensing of Environment 2024To readrepository
Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic 3D laser scanning
Lukas Winiwarter et al.		2022Remote Sensing of Environment 2022To readrepository
Attention-based Point Cloud Edge Sampling
Chengzhi Wu et al.		2023CVPR 2023To readrepository
Point Transformer V3: Simpler, Faster, Stronger
Xiaoyang Wu et al.		2024CVPR 2024To readrepository
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
Chengzhi Wu et al.		2025CVPR 2025To read—
Sonata: Self-Supervised Learning of Reliable Point Representations
Xiaoyang Wu et al.		2025CVPR 2025To readrepository
ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds
Binbin Xiang et al.		2025ICCV 2025To readrepository
ElasticTok: Adaptive Tokenization for Image and Video
Wilson Yan et al.		2025ICLR 2025To readrepository
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao et al.		2023ICLR 2023To readrepository
Toward a foundation model for forest point clouds
Yuanwen Yue et al.		2026arXiv 2026To readrepository
LitePT: Lighter Yet Stronger Point Transformer
Yuanwen Yue et al.		2026CVPR 2026To readrepository
Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations
Yujia Zhang et al.		2025NeurIPS 2025To readrepository
Utonia: Toward One Encoder for All Point Clouds
Yujia Zhang et al.		2026ICML 2026To readrepository