Oisin Mac Aodha
@oisinmacaodha.bsky.social
Reader in Computer Vision and Machine Learning @ School of Informatics, University of Edinburgh.
https://homepages.inf.ed.ac.uk/omacaod
https://homepages.inf.ed.ac.uk/omacaod
Check out this fantastic TED talk from Sara Beery @sarameghanbeery.bsky.social
In it, she talks about how computer vision techniques can assist with extracting a wealth of information and insights from large image collections that depict the natural world.
In it, she talks about how computer vision techniques can assist with extracting a wealth of information and insights from large image collections that depict the natural world.
How do we do more with biodiversity data we've already collected?
I gave a TED Talk on scientific discovery in ecological databases at a joint TED Countdown and Bezos Earth Fund event for #NYClimateWeek this year, and it's now live!
@inaturalist.bsky.social #AIforConservation
I gave a TED Talk on scientific discovery in ecological databases at a joint TED Countdown and Bezos Earth Fund event for #NYClimateWeek this year, and it's now live!
@inaturalist.bsky.social #AIforConservation
November 25, 2025 at 8:56 PM
Check out this fantastic TED talk from Sara Beery @sarameghanbeery.bsky.social
In it, she talks about how computer vision techniques can assist with extracting a wealth of information and insights from large image collections that depict the natural world.
In it, she talks about how computer vision techniques can assist with extracting a wealth of information and insights from large image collections that depict the natural world.
Traditional clustering methods aim to group unlabelled data points based on their similarity to each other. However, clustering, in the absence of additional information, is an ill-posed problem as there may be many different, yet equally valid, ways to partition a dataset.
November 24, 2025 at 9:05 AM
Traditional clustering methods aim to group unlabelled data points based on their similarity to each other. However, clustering, in the absence of additional information, is an ill-posed problem as there may be many different, yet equally valid, ways to partition a dataset.
We have PhD opportunity (start date Sep 2026) at the University of Edinburgh at the intersection of biodiversity mapping and zoonotic disease prediction.
It is part of the UKRI AI Centre for Doctoral Training in Biomedical Innovation based in the School of Informatics:
ai4bi-cdt.ed.ac.uk
It is part of the UKRI AI Centre for Doctoral Training in Biomedical Innovation based in the School of Informatics:
ai4bi-cdt.ed.ac.uk
November 21, 2025 at 1:48 PM
We have PhD opportunity (start date Sep 2026) at the University of Edinburgh at the intersection of biodiversity mapping and zoonotic disease prediction.
It is part of the UKRI AI Centre for Doctoral Training in Biomedical Innovation based in the School of Informatics:
ai4bi-cdt.ed.ac.uk
It is part of the UKRI AI Centre for Doctoral Training in Biomedical Innovation based in the School of Informatics:
ai4bi-cdt.ed.ac.uk
Check out Neehar's (@therealpaneni.bsky.social) upcoming #NeurIPS2025 paper titled:
Representational Difference Explanations
He has a cool new approach for enabling more direct and interpretable model comparisons by isolating representational differences between models.
arxiv.org/abs/2505.23917
Representational Difference Explanations
He has a cool new approach for enabling more direct and interpretable model comparisons by isolating representational differences between models.
arxiv.org/abs/2505.23917
Excited to share our paper Representational Difference Explanations (RDX) was accepted to #NeurIPS2025! 🎉RDX is a new method for model diffing designed to isolate 🔍 representational differences. 1/7
November 19, 2025 at 5:04 PM
Check out Neehar's (@therealpaneni.bsky.social) upcoming #NeurIPS2025 paper titled:
Representational Difference Explanations
He has a cool new approach for enabling more direct and interpretable model comparisons by isolating representational differences between models.
arxiv.org/abs/2505.23917
Representational Difference Explanations
He has a cool new approach for enabling more direct and interpretable model comparisons by isolating representational differences between models.
arxiv.org/abs/2505.23917
Check out Leonie's (@bossemel.bsky.social) upcoming NeurIPS Datasets and Benchmarks paper about a really interesting new dataset for evaluating models of human visual learning.
From medicine to geo-guessing, humans can get incredibly good at solving visual recognition tasks.
But how is this skill learned, and can we model its progression?
We present CleverBirds, accepted #NeurIPS2025, a large-scale benchmark for visual knowledge tracing.
📄 arxiv.org/abs/2511.08512
1/5
But how is this skill learned, and can we model its progression?
We present CleverBirds, accepted #NeurIPS2025, a large-scale benchmark for visual knowledge tracing.
📄 arxiv.org/abs/2511.08512
1/5
CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing
Mastering fine-grained visual recognition, essential in many expert domains, can require that specialists undergo years of dedicated training. Modeling the progression of such expertize in humans rema...
arxiv.org
November 12, 2025 at 3:56 PM
Check out Leonie's (@bossemel.bsky.social) upcoming NeurIPS Datasets and Benchmarks paper about a really interesting new dataset for evaluating models of human visual learning.
Great PhD opportunity to work with Serge and Toke on a really interesting computer vision / machine learning problem.
Prof. @tokehoye.bsky.social (Aarhus University) and I have an open PhD position (jointly advised) on biodiversity monitoring with camera trap networks. Deadline: 15-Jan-2026
Please help us share this post among students you know with an interest in Machine Learning and Biodiversity! 🤖🪲🌱
Please help us share this post among students you know with an interest in Machine Learning and Biodiversity! 🤖🪲🌱
November 11, 2025 at 3:02 PM
Great PhD opportunity to work with Serge and Toke on a really interesting computer vision / machine learning problem.
Reposted by Oisin Mac Aodha
Meet our speakers for the AI for Non-Human Animal Communication workshop at
@NeurIPSConf!
🐬 Laela Sayigh – decoding dolphin communication
🦇 Oisin Mac Aodha – AI for biodiversity monitoring
🐦 Julie Elie – neural mechanisms of songbird & bat vocal learning
Learn more and join: aiforanimalcomms.org
@NeurIPSConf!
🐬 Laela Sayigh – decoding dolphin communication
🦇 Oisin Mac Aodha – AI for biodiversity monitoring
🐦 Julie Elie – neural mechanisms of songbird & bat vocal learning
Learn more and join: aiforanimalcomms.org
November 7, 2025 at 2:50 PM
Meet our speakers for the AI for Non-Human Animal Communication workshop at
@NeurIPSConf!
🐬 Laela Sayigh – decoding dolphin communication
🦇 Oisin Mac Aodha – AI for biodiversity monitoring
🐦 Julie Elie – neural mechanisms of songbird & bat vocal learning
Learn more and join: aiforanimalcomms.org
@NeurIPSConf!
🐬 Laela Sayigh – decoding dolphin communication
🦇 Oisin Mac Aodha – AI for biodiversity monitoring
🐦 Julie Elie – neural mechanisms of songbird & bat vocal learning
Learn more and join: aiforanimalcomms.org
Viacheslav's group does fantastic work in machine learning in geometric learning and uncertainty quantification.
For those looking to start a PhD in the near future this is a brilliant opportunity to work with a great advisor!
#phd #ml #edinburgh
For those looking to start a PhD in the near future this is a brilliant opportunity to work with a great advisor!
#phd #ml #edinburgh
October 24, 2025 at 1:50 PM
Viacheslav's group does fantastic work in machine learning in geometric learning and uncertainty quantification.
For those looking to start a PhD in the near future this is a brilliant opportunity to work with a great advisor!
#phd #ml #edinburgh
For those looking to start a PhD in the near future this is a brilliant opportunity to work with a great advisor!
#phd #ml #edinburgh
Interested in doing a PhD in machine learning at the University of Edinburgh starting Sept 2026?
My group works on topics in vision, machine learning, and AI for climate.
For more information and details on how to get in touch, please check out my website:
homepages.inf.ed.ac.uk/omacaod
My group works on topics in vision, machine learning, and AI for climate.
For more information and details on how to get in touch, please check out my website:
homepages.inf.ed.ac.uk/omacaod
October 16, 2025 at 9:15 AM
Interested in doing a PhD in machine learning at the University of Edinburgh starting Sept 2026?
My group works on topics in vision, machine learning, and AI for climate.
For more information and details on how to get in touch, please check out my website:
homepages.inf.ed.ac.uk/omacaod
My group works on topics in vision, machine learning, and AI for climate.
For more information and details on how to get in touch, please check out my website:
homepages.inf.ed.ac.uk/omacaod
Working at the intersection of AI and Climate/Conservation?
If so, check out our upcoming workshop which will taking place at #EurIPS in Copenhagen in December 2025.
sites.google.com/g.harvard.ed...
@euripsconf.bsky.social
If so, check out our upcoming workshop which will taking place at #EurIPS in Copenhagen in December 2025.
sites.google.com/g.harvard.ed...
@euripsconf.bsky.social
🌍 Excited to announce our Workshop on AI for Climate & Conservation (AICC) at #EurIPS2025 in Copenhagen! 🎉
📢 Call for Participation: sites.google.com/g.harvard.ed...
Confirmed speakers from Mistral AI, DeepMind, ETH Zurich, LSCE & more.
Looking forward to meeting and discussing in Copenhagen!
📢 Call for Participation: sites.google.com/g.harvard.ed...
Confirmed speakers from Mistral AI, DeepMind, ETH Zurich, LSCE & more.
Looking forward to meeting and discussing in Copenhagen!
September 19, 2025 at 12:59 PM
Working at the intersection of AI and Climate/Conservation?
If so, check out our upcoming workshop which will taking place at #EurIPS in Copenhagen in December 2025.
sites.google.com/g.harvard.ed...
@euripsconf.bsky.social
If so, check out our upcoming workshop which will taking place at #EurIPS in Copenhagen in December 2025.
sites.google.com/g.harvard.ed...
@euripsconf.bsky.social
The US-UK Scientific Forum on Measuring Biodiversity for Addressing the Global Biodiversity Crisis summary report is now available.
I participated earlier this year and it was really enlightening. The report covers explores tools, challenges, and solutions for tackling the biodiversity crisis.
I participated earlier this year and it was really enlightening. The report covers explores tools, challenges, and solutions for tackling the biodiversity crisis.
How do we measure life on Earth? 🌍🌱 The new summary report from the 2025 US-UK Forum on Measuring Biodiversity, hosted by the NAS and @royalsociety.org, explores tools, challenges, and solutions for tackling the #biodiversity crisis.
Read here: bit.ly/460RB7R
Read here: bit.ly/460RB7R
September 11, 2025 at 3:55 PM
The US-UK Scientific Forum on Measuring Biodiversity for Addressing the Global Biodiversity Crisis summary report is now available.
I participated earlier this year and it was really enlightening. The report covers explores tools, challenges, and solutions for tackling the biodiversity crisis.
I participated earlier this year and it was really enlightening. The report covers explores tools, challenges, and solutions for tackling the biodiversity crisis.
This week at #ICML we are presenting our new work titled Feedforward Few-shot Species Range Estimation.
TLDR;
* Our model, FS-SINR, can estimate a species' range from few observations
* It does not require an retraining for previously unseen species
* It can integrate text and image information
TLDR;
* Our model, FS-SINR, can estimate a species' range from few observations
* It does not require an retraining for previously unseen species
* It can integrate text and image information
July 18, 2025 at 12:30 PM
This week at #ICML we are presenting our new work titled Feedforward Few-shot Species Range Estimation.
TLDR;
* Our model, FS-SINR, can estimate a species' range from few observations
* It does not require an retraining for previously unseen species
* It can integrate text and image information
TLDR;
* Our model, FS-SINR, can estimate a species' range from few observations
* It does not require an retraining for previously unseen species
* It can integrate text and image information
Reposted by Oisin Mac Aodha
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👇
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👇
July 17, 2025 at 9:17 AM
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👇
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👇
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections
We will be presenting our work on thin structure reconstruction at the final poster session (4-6pm) at #CVPR2025 today.
Stop by poster #457 to learn more.
We will be presenting our work on thin structure reconstruction at the final poster session (4-6pm) at #CVPR2025 today.
Stop by poster #457 to learn more.
June 15, 2025 at 12:55 PM
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections
We will be presenting our work on thin structure reconstruction at the final poster session (4-6pm) at #CVPR2025 today.
Stop by poster #457 to learn more.
We will be presenting our work on thin structure reconstruction at the final poster session (4-6pm) at #CVPR2025 today.
Stop by poster #457 to learn more.
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
Do automated monocular depth estimation methods use similar visual cues to humans?
To learn more, stop by poster #405 in the evening session (17:00 to 19:00) today at #CVPR2025.
Do automated monocular depth estimation methods use similar visual cues to humans?
To learn more, stop by poster #405 in the evening session (17:00 to 19:00) today at #CVPR2025.
June 14, 2025 at 12:48 PM
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
Do automated monocular depth estimation methods use similar visual cues to humans?
To learn more, stop by poster #405 in the evening session (17:00 to 19:00) today at #CVPR2025.
Do automated monocular depth estimation methods use similar visual cues to humans?
To learn more, stop by poster #405 in the evening session (17:00 to 19:00) today at #CVPR2025.
MVSAnywhere: Zero-Shot Multi-View Stereo
Looking for a multi-view stereo depth estimation model which works anywhere, in any scene, with any range of depths?
If so, stop by our poster #81 today in the morning session (10:30 to 12:20) at #CVPR2025.
Looking for a multi-view stereo depth estimation model which works anywhere, in any scene, with any range of depths?
If so, stop by our poster #81 today in the morning session (10:30 to 12:20) at #CVPR2025.
June 14, 2025 at 12:38 PM
MVSAnywhere: Zero-Shot Multi-View Stereo
Looking for a multi-view stereo depth estimation model which works anywhere, in any scene, with any range of depths?
If so, stop by our poster #81 today in the morning session (10:30 to 12:20) at #CVPR2025.
Looking for a multi-view stereo depth estimation model which works anywhere, in any scene, with any range of depths?
If so, stop by our poster #81 today in the morning session (10:30 to 12:20) at #CVPR2025.
Check out Nikolas @tsagkas.bsky.social and Danier's work on understanding the limitations of pre-trained visual representations for visuomotor robot learning at the Embodied AI Workshop at CVPR 2025 today.
Danier Duolikun presents our work on pre-trained visual representations for visuomotor robot learning today at #CVPR2025 in the 6th Embodied AI Workshop!
🗣️ Talk: 15:30, Room 101 D
📌 Poster: 12:00–13:30, ExHall D (#140–169)
Come say hi!
More info here: tsagkas.github.io/pvrobo/
🗣️ Talk: 15:30, Room 101 D
📌 Poster: 12:00–13:30, ExHall D (#140–169)
Come say hi!
More info here: tsagkas.github.io/pvrobo/
June 12, 2025 at 1:16 PM
Check out Nikolas @tsagkas.bsky.social and Danier's work on understanding the limitations of pre-trained visual representations for visuomotor robot learning at the Embodied AI Workshop at CVPR 2025 today.
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
We will be in room 104E.
#FGVC #CVPR2025
@fgvcworkshop.bsky.social
June 11, 2025 at 12:56 PM
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
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
sites.google.com/view/fgvc12
Join us on June 11, 9am to discuss all things fine-grained!
We are looking forward to a series of talks on semantic granularity, covering topics such as machine teaching, interpretability and much more!
Room 104 E
Schedule & details: sites.google.com/view/fgvc12
@cvprconference.bsky.social #CVPR25
We are looking forward to a series of talks on semantic granularity, covering topics such as machine teaching, interpretability and much more!
Room 104 E
Schedule & details: sites.google.com/view/fgvc12
@cvprconference.bsky.social #CVPR25
June 9, 2025 at 10:43 AM
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
sites.google.com/view/fgvc12
Come join us for an early morning walk at CVPR next week.
IT'S THAT TIME AGAIN!!!! Time to wake up early and go watch birds at the @cvprconference.bsky.social #CVBirdWalk
Friday, June 13th, from 7:00 AM to 9:00 AM at the scenic Shelby Bottoms Nature Center & Greenway (1900 Davidson St, Nashville, TN 37206). maps.app.goo.gl/Km8oWJzgVQyo...
Friday, June 13th, from 7:00 AM to 9:00 AM at the scenic Shelby Bottoms Nature Center & Greenway (1900 Davidson St, Nashville, TN 37206). maps.app.goo.gl/Km8oWJzgVQyo...
June 3, 2025 at 9:34 PM
Come join us for an early morning walk at CVPR next week.
I really enjoyed Climate AI Nordics' workshop in Gothenburg this week. There were some really great talks and conversations.
Keep an eye out for next year's event in Copenhagen!
climateainordics.com
Keep an eye out for next year's event in Copenhagen!
climateainordics.com
Big thanks to all speakers and participants who joined the first Nordic Workshop on AI for Climate Change in Gothenburg, a great success! 🌍💡
Next year’s workshop is already set: June 26, 2026 in Copenhagen 🇩🇰, hosted by our core team at KU & the Pioneer Centre for AI.
Let's keep up the momentum! ⚡️
Next year’s workshop is already set: June 26, 2026 in Copenhagen 🇩🇰, hosted by our core team at KU & the Pioneer Centre for AI.
Let's keep up the momentum! ⚡️
May 15, 2025 at 4:45 PM
I really enjoyed Climate AI Nordics' workshop in Gothenburg this week. There were some really great talks and conversations.
Keep an eye out for next year's event in Copenhagen!
climateainordics.com
Keep an eye out for next year's event in Copenhagen!
climateainordics.com
Tomorrow in poster session 2 at #ICLR2025 Neehar (@therealpaneni.bsky.social) will be presenting his work on comparing neural networks via concepts.
Representational Similarity via Interpretable Visual Concepts
arxiv.org/abs/2503.15699
nkondapa.github.io/rsvc-page/
Representational Similarity via Interpretable Visual Concepts
arxiv.org/abs/2503.15699
nkondapa.github.io/rsvc-page/
April 23, 2025 at 4:43 PM
Tomorrow in poster session 2 at #ICLR2025 Neehar (@therealpaneni.bsky.social) will be presenting his work on comparing neural networks via concepts.
Representational Similarity via Interpretable Visual Concepts
arxiv.org/abs/2503.15699
nkondapa.github.io/rsvc-page/
Representational Similarity via Interpretable Visual Concepts
arxiv.org/abs/2503.15699
nkondapa.github.io/rsvc-page/
Reposted by Oisin Mac Aodha
Foram2025: Classifying microfossil volumes – the first step to understanding past climates.
👉 www.kaggle.com/competitions...
@cvprconference.bsky.social @kaggle.com
#FGVC #CVPR #CVPR2025 QIM Center (qim.dk)
[1/5]
👉 www.kaggle.com/competitions...
@cvprconference.bsky.social @kaggle.com
#FGVC #CVPR #CVPR2025 QIM Center (qim.dk)
[1/5]
April 15, 2025 at 7:21 AM
Foram2025: Classifying microfossil volumes – the first step to understanding past climates.
👉 www.kaggle.com/competitions...
@cvprconference.bsky.social @kaggle.com
#FGVC #CVPR #CVPR2025 QIM Center (qim.dk)
[1/5]
👉 www.kaggle.com/competitions...
@cvprconference.bsky.social @kaggle.com
#FGVC #CVPR #CVPR2025 QIM Center (qim.dk)
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Check out Neehar Kondapaneni's upcoming ICLR 2025 work which proposes a new approach for understanding how two neural networks differ by discovering the shared and unique concepts learned by the networks.
Representational Similarity via Interpretable Visual Concepts
arxiv.org/abs/2503.15699
Representational Similarity via Interpretable Visual Concepts
arxiv.org/abs/2503.15699
Have you ever wondered what makes two models different?
We all know the ViT-Large performs better than the Resnet-50, but what visual concepts drive this difference? Our new ICLR 2025 paper addresses this question! nkondapa.github.io/rsvc-page/
We all know the ViT-Large performs better than the Resnet-50, but what visual concepts drive this difference? Our new ICLR 2025 paper addresses this question! nkondapa.github.io/rsvc-page/
April 12, 2025 at 7:58 AM
Check out Neehar Kondapaneni's upcoming ICLR 2025 work which proposes a new approach for understanding how two neural networks differ by discovering the shared and unique concepts learned by the networks.
Representational Similarity via Interpretable Visual Concepts
arxiv.org/abs/2503.15699
Representational Similarity via Interpretable Visual Concepts
arxiv.org/abs/2503.15699
Reposted by Oisin Mac Aodha
BirdCLEF25: Audio-based species identification focused on birds, amphibians, mammals, and insects in Colombia.
👉 www.kaggle.com/competitions...
@cvprconference.bsky.social @kaggle.com
#FGVC #CVPR #CVPR2025 #LifeCLEF
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👉 www.kaggle.com/competitions...
@cvprconference.bsky.social @kaggle.com
#FGVC #CVPR #CVPR2025 #LifeCLEF
[1/4]
April 9, 2025 at 10:22 AM
BirdCLEF25: Audio-based species identification focused on birds, amphibians, mammals, and insects in Colombia.
👉 www.kaggle.com/competitions...
@cvprconference.bsky.social @kaggle.com
#FGVC #CVPR #CVPR2025 #LifeCLEF
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👉 www.kaggle.com/competitions...
@cvprconference.bsky.social @kaggle.com
#FGVC #CVPR #CVPR2025 #LifeCLEF
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