@nicolang.bsky.social
Computer Vision and Earth observation to support environmental sciences. Asst. Prof. at University of Copenhagen & Pioneer Centre for AI formerly: PhD at ETH Zürich #CV #ML #EO #AI4EO #SSL4EO #ML4good 🔗 langnico.github.io
How does AI interact with culture?
We’re thrilled to have Dr. Maria Antoniak (@mariaa.bsky.social) join us at FGVC! Her interdisciplinary work on AI in the humanities brings a new perspective to our workshop: the fine-grained categorization of the intangible parts of culture. See you at #CVPR2026!
The Feb 2026 Climate AI Nordics Newsletter is out! 🌍🤖
In this issue:
🦋 The new Open-Insect biodiversity dataset
🌍 Paola Vesco (PRIO) on ML, climate extremes & conflict
📅 Upcoming AI & climate events
💼 Open PhD & ML roles (RISE, KTH, SLU)
Read it here: climateainordics.com/newsletter/2...
🚨 Updated Deadline Alert!
We have extended the deadline for the Proceedings from Feb 27th to Mar 3rd.
#CVPR #CV #AI
Longer summary posts on the project:
🌎 www.linkedin.com/posts/lucia-...
🌍 www.linkedin.com/posts/n-lang...
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Team: Lucia Gordon @luciagordon.bsky.social , @serge.belongie.com , Christian Igel, Nico Lang @nicolang.bsky.social
Thanks to the Pioneer Centre for AI (P1) @aicentre.dk , Global Wetland Center, and ELIAS - European Lighthouse of AI for Sustainability for supporting this project.
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Second, we propose a test-time training (TTT) approach as an alternative way of making use of multiple modalities at test time. We show that multimodal pretext tasks can serve as a test-time adaptation signal.
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First, we introduce MMEarth-Bench, a benchmark dataset built to work collectively on the major challenges in remote sensing: Learning from limited reference data, robustness to geographic domain shifts, and resolving ambiguities when estimating biophysical quantities from observational data.
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Super excited to have this work out, led by our amazing Lucia Gordon (@luciagordon.bsky.social):
“MMEarth-Bench: Global Model Adaptation via Multimodal Test-Time Training”
Project page: mmearth-bench.com
Paper preprint: arxiv.org/abs/2602.06285
Code and dataset: github.com/lgordon99/mm...
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Are you ready for a challenge?
For this year’s FathomNet Kaggle Competition, we’re tackling one of the biggest challenges in computer vision for marine imagery: incomplete labels.
Dive in today: www.kaggle.com/competitions...
🤖🌊🧪🐙
Recordings of our EurIPS AICC workshop are released!
Watch the talks by Philippe Ciais, Sagar Vaze, Natalie Iwanycki Ahlstrand, Drew Purves, and Mirela Beloiu Schwenke.
Thanks to @climateainordics.com @aicentre.dk and DDSA - Danish Data Science Academy.
@euripsconf.bsky.social
Our FGVC13 workshop is coming to #CVPR2026!
Call for papers is out: sites.google.com/view/fgvc13
Big thanks to our artists Mehmet Ozgur Turkoglu and Sophie Stalder for creating our new look and mascot!
@cvprconference.bsky.social
We have two open PhD positions at the interface of AI and ecology. Start dates are Sept 2026.
We are looking for candidates with a background in AI/CS, Math, Stats, or Physics that are passionate about solving challenging problems in these domains.
Application deadline is in two weeks.
Watch the full talk at go.ted.com/sarabeery
If you're interested in learning more about the science behind it, we've just released a preprint describing the methodology and the tool we've built: arxiv.org/abs/2511.15656
Super-stoked to release this project with @nicolang.bsky.social & Team! Check it out at the respective links, and test the demo to super-resolve Sentinel-2 satellite images anywhere on earth 🌍 🔍
16.12.2025 14:05 — 👍 1 🔁 1 💬 0 📌 1
The team: Sander Riisøen Jyhne (@sjyhne.bsky.social), Christian Igel, Morten Goodwin, Per-Arne Andersen, Serge Belongie (@serge.belongie.com), Nico Lang (@nicolang.bsky.social)
Thanks to the Pioneer Centre for AI (@aicentre.dk) and the Global Wetland Center for supporting this project. [n/n]
Hence, our method is not prone to hallucinations, as is often the case with generative approaches. We tested SuperF on both ground-level image bursts and satellite imagery. Ultimately, Sander built a demo app to super-resolve Sentinel-2 satellite images for any place on Earth - try it out. [4/n]
16.12.2025 13:51 — 👍 0 🔁 0 💬 1 📌 0
In this way, SuperF leverages the continuous nature of INRs for both the sub-pixel alignment and signal reconstruction.
Our test-time optimization approach operates solely on low-resolution images and does not require any training on high-resolution data. [3/n]
Building on the established idea of utilising sub-pixel shifts from repeated observations, we developed SuperF, an approach based on implicit neural representations (INRs) that jointly aligns multiple low-resolution images while representing the underlying high-resolution signal. [2/n]
16.12.2025 13:51 — 👍 0 🔁 0 💬 1 📌 0
What if we could see between the pixels? We’ve been working on a new approach to super-resolve images by combining multiple low-resolution views of the same scene.
Project page: sjyhne.github.io/superf/
Preprint: www.arxiv.org/abs/2512.09115
Demo: huggingface.co/spaces/sjyhn...
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Inspiring TED talk by Sara Beery @sarameghanbeery.bsky.social 🤩
26.11.2025 10:49 — 👍 7 🔁 1 💬 0 📌 0
How can #AI help us understand & protect our planet? 🌍
Join us for the AI for Earth & Climate Sciences Workshop, part of the ELLIS UnConference (in Copenhagen 🇩🇰 on Dec 2), co-located with #EurIPS.
🕒 Submit workshop contributions by Oct 24, 2025
🔗 All info: eurips.cc/ellis
The submission deadline is extended to October 20, AoE!
14.10.2025 15:02 — 👍 4 🔁 0 💬 0 📌 0
Working on representation learning for Earth Observation?
Come join the discussion at the EurIPS workshop "REO: Advances in Representation Learning for Earth Observation"
Call for papers deadline: October 15, AoE
Workshop site: sites.google.com/view/reoeurips
@euripsconf.bsky.social @esa.int
Submission deadline extended to October 15, AoE.
Workshop site: sites.google.com/g.harvard.ed...
Looking forward to the AICC workshop at EurIPS (Dec 6/7) in Copenhagen!
Are you working at the intersection of AI and Climate or Conservation applications?
This is a great opportunity to discuss your novel and recently published research.
Call for participation: sites.google.com/g.harvard.ed...
We are not missing out! FGVC12 is excited to support "FOMO25: Foundation Model Challenge for Brain MRI".
This MICCAI25 challenge is still running and there is still time to participate!
Submission deadline: August 20, 2025
Join here: fomo25.github.io
Check out the thread below👇
🌍 Another keynote spotlight for the AI + Environment Summit 2025!
We’re excited to welcome Prof. Dr. Devis Tuia from EPFL, who will join us on October 1st with his talk:
“Machine Learning for Earth: Monitoring the Pulse of Our Planet with Sensor Data, from Your Phone All the Way to Space”
New Climate AI Nordics newsletter out now: research highlights, events, job openings & member spotlight. Read & share! climateainordics.com/newsletter/2...
25.06.2025 15:05 — 👍 4 🔁 4 💬 0 📌 0
Come join us for the 12th Workshop on Fine-Grained Visual Categorization (FGVC). Starting today at 9am at @cvprconference.bsky.social.
We will be in room 104E.
#FGVC #CVPR2025
@fgvcworkshop.bsky.social
Please join us for the FGVC workshop at CVPR 2025 @cvprconference.bsky.social on Wed 11th of June. The full schedule and list of fantastic speakers can be found on our website:
sites.google.com/view/fgvc12
