I think we did a pretty good job with my amazing #CVPR2025 fellow PCs. With a lot of efforts, and thanks to the hard work of reviewers, ACs, and SACs, the review quality increased while we had to handle a steadily increasing number of submissions.
14.06.2025 09:51 β π 37 π 5 π¬ 1 π 0
The poster section has not officially started, but we are already there. Feel free to drop by at our poster: #114
13.06.2025 15:00 β π 6 π 2 π¬ 0 π 0
I will be presenting our work on the detection of archaeological looting with satellite image time series at CVPR 2025 EarthVision workshop tomorrow!
Honored and grateful that this paper received the best student paper award!
11.06.2025 04:03 β π 15 π 6 π¬ 1 π 0
Excited to share that Iβll be attending CVPR 2025 in Nashville this week!
Iβll be presenting our poster:
π²"Open-Canopy: Towards Very High Resolution Forest Monitoring"
π Friday afternoon | π Poster #114 | π
Highlight
Read the paper here:
π lnkd.in/eWYfS7Bd
If you're at CVPR, feel free to drop by!
11.06.2025 18:55 β π 13 π 4 π¬ 1 π 0
I will be at #CVPR2025 this week in Nashville.
I will be presenting our paper "Around the World in 80 Timesteps:
A Generative Approach to Global Visual Geolocation".
We tackle geolocalization as a generative task allowing for SOTA performance and more interpretable predictions.
11.06.2025 00:52 β π 25 π 5 π¬ 1 π 0
π€ What if embedding multimodal EO data was as easy as using a ResNet on images?
Introducing AnySat: one model for any resolution (0.2mβ250m), scale (0.3β2600 hectares), and modalities (choose from 11 sensors & time series)!
Try it with just a few lines of code:
19.12.2024 10:46 β π 35 π 10 π¬ 2 π 2
Airborne #LiDAR has revolutionized the study of ancient rainforest civilizations by seeing through dense canopies. Yet archaeologists still annotate their data manually. Introducing Archaeoscape at #NeurIPS2024 βthe first deep learning-scale, open-access archaeological datasetπ§΅π
09.12.2024 09:47 β π 27 π 8 π¬ 1 π 0
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
Prof. @notredame.bsky.social. IEEE Computer Society PAMI TC Chair. Computer Vision Foundation CTO. Artificial Intelligence + Digital Humanities + History of Technology. wjscheirer.com
PhD - R&D Engineer at French Mapping Agency @ignfrance.bsky.social working on Deep Learning and computer Vision for Earth observation
Computer Vision & Machine Learning researcher at NAVER LABS europe
she/her - https://dlarlus.github.io/
PhD student @ TUM with Daniel Cremers
PhD student in computer vision at Imagine, ENPC - @imagineenpc.bsky.social
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ππ π cvpr.thecvf.com π June 19, 1983
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PhD student in computer vision at Imagine, ENPC
27π«π· Researcher and AI Coordinator at @ignfrance.bsky.social. Interested in unsupervised learning, remote sensing, satellite imagery and scene understanding.
π³οΈβπ he/him
2nd Year PhD Student from Imagine-ENPC/IGN/CNES
Working on Self-supervised Cross-modal Geospatial Learning.
Personal WebPage: https://gastruc.github.io/
Postdoc at @ImagineEnpc Research in Computer Vision | Ph.D at @IMTAtlantique
Research: Text Recognition (OCR, HTR, Chinese HTR)
Computer Vision team of LIGM/A3SI @EcoledesPonts ParisTech (ENPC)
Senior researcher at IMAGINE (ENPC, LIGM).
Machine learning & computer vision for 3D + geospatial + historical data.
loiclandrieu.com
PhD student at IMAGINE (ENPC) and GeoVic (Ecole Polytechnique). Working on image generation.
http://nicolas-dufour.github.io
Professor of Computer Vision/Machine Learning at Imagine/LIGM, Γcole nationale des Ponts et ChaussΓ©es @ecoledesponts.bsky.social Music & overall happiness π³πͺ» Born well below 350ppm π¬ mostly silly personal views
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I add noise to images and make neural networks remove them!
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