Nico Lang
@nicolangnl
Asst. Prof. @AiCentreDK & @DIKU_Institut | #CV #ML #EO for environmental science. | PhD from @eth_en | http://nicolang.bsky.social
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I am pleased to share a new preprint, the final chapter of my #PhD #thesis. We map canopy height globally with a probabilistic deep learning approach fusing #Sentinel2 and #GEDI. Preprint: arxiv.org/abs/2204.08322 Website: langnico.github.io/globalcanopyhe… @EcoVisionETH @ETH_en @Yale
Foram2025: Classifying microfossil volumes – the first step to understanding past climates. 👉 kaggle.com/competitions/f… @CVPR @kaggle #FGVC #CVPR #CVPR2025 @QIMCenter [1/5]
![fgvcworkshop's tweet image. Foram2025: Classifying microfossil volumes – the first step to understanding past climates.
👉 kaggle.com/competitions/f…
@CVPR @kaggle
#FGVC #CVPR #CVPR2025 @QIMCenter
[1/5]](https://pbs.twimg.com/media/GojyWpDXUAAy2U9.jpg)
FathomNet25: Navigating the Depths: Advancing Hierarchical Classification of Ocean Life kaggle.com/competitions/f… @FathomNet @CVPR @kaggle #FGVC #CVPR #CVPR2025 [1/5]
![fgvcworkshop's tweet image. FathomNet25: Navigating the Depths: Advancing Hierarchical Classification of Ocean Life
kaggle.com/competitions/f…
@FathomNet
@CVPR @kaggle
#FGVC #CVPR #CVPR2025
[1/5]](https://pbs.twimg.com/media/GoDJr31XwAAu5Tw.jpg)
GeoLifeCLEF25: Location-based species presence prediction 👉 kaggle.com/competitions/g… @CVPR @kaggle @LifeCLEF #FGVC #CVPR #CVPR2025 [1/3]
![fgvcworkshop's tweet image. GeoLifeCLEF25: Location-based species presence prediction
👉 kaggle.com/competitions/g…
@CVPR @kaggle @LifeCLEF
#FGVC #CVPR #CVPR2025
[1/3]](https://pbs.twimg.com/media/Gn92vy_W4AAQ3QN.jpg)
PlantCLEF25: Multi-species plant identification in vegetation quadrat images 👉 kaggle.com/competitions/p… @cvprconference @kaggle #FGVC #CVPR #CVPR2025 @LifeCLEF [1/4]
![fgvcworkshop's tweet image. PlantCLEF25: Multi-species plant identification in vegetation quadrat images
👉 kaggle.com/competitions/p…
@cvprconference @kaggle
#FGVC #CVPR #CVPR2025 @LifeCLEF
[1/4]](https://pbs.twimg.com/media/Gn7NyE1WIAACOqI.jpg)
Looking for a challenge? Along with FGVC12 at #CVPR2025, multiple fine-grained computer vision competitions have been launched. These well-curated datasets allow you to leverage your AI skills to boost applications with impact! Let's go: sites.google.com/view/fgvc12/co… @CVPR @kaggle
FungiCLEF25: Few-shot classification with rare fungi species 👉 kaggle.com/competitions/f… @CVPR @kaggle #FGVC #CVPR #CVPR2025 #LifeCLEF [1/2]
![fgvcworkshop's tweet image. FungiCLEF25: Few-shot classification with rare fungi species
👉 kaggle.com/competitions/f…
@CVPR @kaggle
#FGVC #CVPR #CVPR2025 #LifeCLEF [1/2]](https://pbs.twimg.com/media/GnsTJ-aWEAAzRXS.jpg)
There is approx. 2 months time to join these competitions co-hosted by @fgvcworkshop at #CVPR2025. Our collaborators put together an interesting suite of problems in applications that have great potential for positive impact. You can start here: sites.google.com/view/fgvc12/co…
Looking for a challenge? Along with FGVC12 at #CVPR2025, multiple fine-grained computer vision competitions have been launched. These well-curated datasets allow you to leverage your AI skills to boost applications with impact! Let's go: sites.google.com/view/fgvc12/co… @CVPR @kaggle
We extended the deadline for Non-archival submissions to *April 02*. More infos on the call for papers and the link to the CMT portal can be found here: sites.google.com/view/fgvc12/su… @CVPR #CVPR #CVPR2025 #AI
FGVC12 Workshop accepted to CVPR 2025, Nashville! CALL FOR PAPERS: sites.google.com/view/fgvc12/su… We discuss domains where expert knowledge is typically required and investigate artificial systems that can distinguish numerous very similar visual concepts. #CVPR #CVPR2025 #AI
Submission deadline is extended to **March 07**. The CMT page is now online and we are looking forward to your submissions on AI systems for expert-tasks and fine-grained analysis. More info at: sites.google.com/view/fgvc12/su… @CVPR #CVPR #CVPR2025 #AI
FGVC12 Workshop accepted to CVPR 2025, Nashville! CALL FOR PAPERS: sites.google.com/view/fgvc12/su… We discuss domains where expert knowledge is typically required and investigate artificial systems that can distinguish numerous very similar visual concepts. #CVPR #CVPR2025 #AI
FGVC12 Workshop is coming to #CVPR2025 in Nashville! Are you working on fine-grained visual problems? This year we have two peer-reviewed paper tracks: i) 8-page CVPR Workshop proceedings ii) 4-page non-archival extended abstracts CALL FOR PAPERS: sites.google.com/view/fgvc12/su… @CVPR
FGVC12 Workshop accepted to CVPR 2025, Nashville! CALL FOR PAPERS: sites.google.com/view/fgvc12/su… We discuss domains where expert knowledge is typically required and investigate artificial systems that can distinguish numerous very similar visual concepts. #CVPR #CVPR2025 #AI
🎯 How can we empower scientific discovery in millions of nature photos? Introducing INQUIRE: A benchmark testing if AI vision-language models can help scientists find biodiversity patterns- from disease symptoms to rare behaviors- hidden in vast image collections. Thread👇🧵
Come visit our poster (number 23) this afternoon at #ECCV2024 to learn more. You can also find the paper online here: Labeled Data Selection for Category Discovery arxiv.org/abs/2406.04898
We discovered an interesting observation that the best labelled data to use should not be too similar, nor too dissimilar, to the unlabelled data. Taking this into account results in large improvements across a range of GCD methods.
Some questions that arise from this include: (i) What is the impact of choosing different labelled datasets to train my model? (ii) How can I choose the best labelled set for my problem?
In Generalized Category Discovery (GCD), the goal is to train models that can discover new categories using knowledge learned from a labelled dataset.
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