Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
code
DeepViewAgg
Published:
Official implementation for DeepViewAgg. This codebase holds tools for multimodal learning on 2D images 🖼️ and 3D point clouds ☁️️. In particular, we developed an efficient and scalable framework for learning to densely map and aggregate multi-view image features to point clouds.
Point Geometric Features
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The pgeof library provides utilities for fast, parallelized computing ⚡ of local geometric features for 3D point clouds ☁️ on CPU. It was initially introduced as a dependency for Superpoint Transformer.
NoRA
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A python-populated Notion template to help you keep track of the papers you read 📜, their authors 👤, your notes 📝, and more 🔥. This is my personal framework for getting the best of Zotero but in Notion.
Superpoint Transformer
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Official implementation for Superpoint Transformer, SuperCluster, and EZ-SP. This codebase holds tools for efficient, scalable superpoint-based learning 🧩.
torch-graph-components
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torch-graph-components holds algorithms for fast graph connected components and graph partitioning, fully implemented in PyTorch with GPU parallelization in mind. In particular, this project contains the graph components and graph partitioning algorithms introduced in EZ-SP.
news
News 0
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DeepViewAgg was accepted for an oral at CVPR’22
News 1
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DeepViewAgg shortlisted as best paper finalist at CVPR'22
News 2
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Best of CVPR issue — CV News interview
News 3
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Superpoint Transformer was accepted at ICCV’23
News 4
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SuperCluster was accepted for an oral at 3DV’24
News 5
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PhD defense at IGN in presence of Cédric Demonceaux, Sébastien Lefèvre, Patrick Pérez, Siyu Tang, Duygu Ceylan, Loïc Landrieu, and Bruno Vallet
News 6
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Joined the EcoVision lab at University of Zurich as a postdoctoral researcher
News 7
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Gave a workshop tutorial on Superpoint Transformer hosted by Florent Poux
News 8
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Nominated as ECCV'24 outstanding reviewer
News 9
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Teja Kattenborn visit to EcoVision
News 10
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Kaan Karaman will present GSR4B at the ISPRS GSW'25
News 11
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Received the AFRIF 2024 PhD Award accessit
News 12
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Loic Landrieu visit to EcoVision and ETH AI Center
News 13
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Emilia Arens and Johannes Dollinger will present our research on Deep Species Distribution Modeling at the LPS'25
News 14
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Valerio Marsocci visit to EcoVision
News 16
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Released torch-graph-components, which isolates the core graph algorithms from EZ-SP
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
Published in CVPR, 2022
Efficient 3D Semantic Segmentation with Superpoint Transformer
Published in ICCV, 2023
Scalable 3D Panoptic Segmentation as Superpoint Graph Clustering
Published in 3DV, 2024
Efficient Learning on Large-Scale 3D Point Clouds
Published in Universite Gustave Eiffel, 2024
Lossy Neural Compression for Geospatial Analytics: A Review
Published in IEEE Geoscience and Remote Sensing Magazine, 2025
GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 Guidance
Published in ISPRS Geospatial Week, 2025
Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks
Published in ICLR - Tackling Climate Change with Machine Learning workshop, 2025
SSL4Eco: A Global Seasonal Dataset for Geospatial Foundation Models in Ecology
Published in CVPR - EarthVision workshop, 2025
MT-GSR4B: Multi-Temporally Guided Super-Resolution for Above-Ground Biomass Estimation
Published in PFG--Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2025
EZ-SP: Fast and Lightweight Superpoint-Based 3D Segmentation
Published in ICRA, 2026
LitePT: Lighter Yet Stronger Point Transformer
Published in arxiv, 2026
FORMSpoT: A Decade of Tree-Level, Country-Scale Forest Monitoring
Published in arxiv, 2026
talks
Talk 39
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Presenting DeepViewAgg at the IGN-ENSG Research Days
Talk 38
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Presenting DeepViewAgg at the GDR ISIS research group seminar
Talk 37
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Presenting DeepViewAgg at the IGN-ENSG Research Days
Talk 36
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Presenting DeepViewAgg at the AI4GEO project seminar
Talk 30
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Tutorial 3D Deep Learning, Torch-Points3D & DeepViewAgg at ENGIE Lab CRIGEN
Talk 35
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Presenting DeepViewAgg to the Ecole Polytechnique, LIX lab
Talk 31
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Presenting DeepViewAgg at CVPR'22 - Best Paper finalist 🎉
Talk 32
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Had the honor to be interviewed for the CV News Best of CVPR issue
Talk 33
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Presenting DeepViewAgg to the Ecole des Ponts, IMAGINE lab
Talk 34
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Presenting DeepViewAgg at ISPRS'22
Talk 28
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Presenting DeepViewAgg at ICVSS'22
Talk 27
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Presenting IGN's research on Large-Scale 2D and 3D Learning to the German Federal Agency for Cartography and Geodesy (BKG)
Talk 23
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Presenting Superpoint Transformer to the University of Zürich, EcoVision lab
Talk 24
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Presenting Superpoint Transformer to the Samp R&D lab
Talk 25
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Presenting Superpoint Transformer to the Valeo.ai lab
Talk 22
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Presenting Superpoint Transformer to the ENGIE Lab CRIGEN
Talk 19
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Presenting Superpoint Transformer at ICCV'23
Talk 20
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Presenting Superpoint Transformer to the ETH Zürich, Computer Vision and Geometry lab
Talk 21
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Presenting Superpoint Transformer to the ETH Zürich, Photogrammetry and Remote Sensing lab
Talk 17
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Presenting IGN's research on Large-Scale 2D and 3D Learning to the National Land Survey of Finland (NSL)
Talk 18
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Presenting SuperCluster to the Ecole des Ponts, IMAGINE lab
Talk 16
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PhD defense on Efficient Learning on Large-Scale 3D Point Clouds at IGN, in presence of Sébastien Lefèvre, Cédric Demonceaux, Patrick Pérez, Siyu Tang, Duygu Ceylan, Loic Landrieu, and Bruno Vallet 🎓
Talk 15
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Presenting SuperCluster at 3DV'24 - Oral 🎉
Talk 14
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Presenting Superpoint Transformer to the GeoDigital R&D team
Talk 13
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Presenting EcoVision research to Google DeepMind
Talk 12
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Presenting EcoVision research to the Una Europa alliance
Talk 11
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Workshop tutorial on Superpoint Transformer hosted by Florent Poux
Talk 10
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Presenting SuperCluster to the Samp R&D lab
Talk 9
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Presenting EcoVision research to the WSL Dynamic Ecology group
Talk 8
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Presenting Deep Species Distribution Modeling to the CNES COMET TSI
Talk 7
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Presenting Superpoint Transformer and EcoVision research to the NVIDIA Strategic Research Engagement
Talk 6
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Presenting Superpoint Transformer to the Unil. Institue for Forensic Science
Talk 5
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Presenting EcoVision research to NatureFinance
Talk 4
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Presenting SSL4Eco at CVPR'25 EarthVision
Talk 2
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Presenting EcoVision research to the ETH Plant Ecology group
Talk 1
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Presenting Embed2Scale and EcoVision research to Global Forest Watch and Land & Carbon Lab reseachers
Talk 0
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Presenting EcoVision research to the MPI of Animal Behavior
teaching
Teaching 8
, , 2020
Deep Learning for Computer Vision at Ecole Polytechnique (Lecture, Master 1)
Teaching 7
, , 2022
Deep Learning for Remote Sensing at ENSG (Lecture, Master 2)
Teaching 6
, , 2022
3D Deep Learning, Torch-Points3D & DeepViewAgg at ENGIE Lab CRIGEN (Tutorial)
Teaching 5
, , 2022
3D Deep Learning for Remote Sensing at ISPRS 2022 (Tutorial)
Teaching 4
, , 2023
Deep Learning for Remote Sensing at ENSG (Lecture, Master 2)
Teaching 3
, , 2024
Attention, NeRFs, and Diffusion at University of Zurich (Lecture and labs, Master 2)
Teaching 2
, , 2025
Attention at University of Zurich (Lecture, Master 2)
Teaching 1
, , 2025
AI4Good group projects at University of Zurich (Labs, Master 2)
Teaching 0
, , 2026
Attention at University of Zurich (Lecture, Master 2)