Oisin Mac Aodha
@oisinmacaodha
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Reader in Machine Learning @ School of Informatics, University of Edinburgh.
Joined August 2018
Prof. Gabriel Brostow, at University College London, has some really cool sounding computer vision PhD openings starting mid to late 2025. Gabe is a fantastic PhD advisor!
Interested in doing a PhD in Computer Vision Super-Tools in my group at UCL? If you count as a "UK Home" resident, see my PhD student vacancies here: https://t.co/2QnLHhndEh.
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My group works on a range of topics spanning 3D vision, human-in-the-loop learning, and AI for conservation. More info here: https://t.co/IihyAA3xMN I am particularly keen on supervising projects in the topic of AI conservation. Please reach out if interested.
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Interested in doing a PhD in machine learning at the University of Edinburgh? If so, check out the ML-Systems PhD Programme: https://t.co/ea1lygMauO Application deadline is 22nd January (next week). #machinelearning #phd #informatics
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๐จCall for Papers๐จ The Re-Align Workshop is coming back to #ICLR2025 Our CfP is finally up! Come share your representational alignment work at our interdisciplinary workshop at @iclr_conf
https://t.co/taAxgAwaT1
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๐ข๐ข๐ข The 12th iteration of the Fine-Grained Visual Categorization workshop will be taking place at #CVPR2025 this year: https://t.co/294Jb4MH8C There is a separate call for 4 page non-archival and 8 page official CVPR proceedings papers.
sites.google.com
Poster session: ExHall D poster boards #373 - #403 at time 4pm - 6pm. Poster board assignment: [here] Call for Papers Workshop - Date: June 11, 2025 Location: Room: 104 E (Level 1) [Floor plan]...
FGVC12 Workshop accepted to CVPR 2025, Nashville! CALL FOR PAPERS: https://t.co/60U5VTaYEl We discuss domains where expert knowledge is typically required and investigate artificial systems that can distinguish numerous very similar visual concepts. #CVPR #CVPR2025 #AI
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Project team: Santiago Martรญnez Balvanera, Oisin Mac Aodha, Matthew J. Weldy, Holly Pringle, Ella Browning (@_EllaBrowning), and Kate E. Jones (@ProfKateJones)
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Need to efficiently annotate large quantities of audio data? Check out our new work Whombat, led by Santiago Martรญnez Balvanera at UCL. https://t.co/3NLPT0XGrI ๐ข
๐Published๐ Our new Application paper presents Whombat, a user-friendly, browser-based interface for managing audio recordings and annotation projects, with several visualization, exploration and annotation tools. Read more here ๐ https://t.co/d3Q7Qo7Xri
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PhD opportunities at the intersection of AI and biodiversity.
Awesome opportunity for students looking to apply for PhD in developing and applying cutting-edge #AI to #biodiversity and #conservation - please RT!
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๐ข New paper out today in TREE: 'The potential for AI to revolutionize conservation: a horizon scan'. ๐ค๐ฑ We brought together conservation scientists and AI experts to explore how AI may revolutionise conservation https://t.co/hxXPeMdqYV
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Could multimodal vision language models (VLMs) help biodiversity researchers retrieve images for their studies? ๐ค MIT CSAIL, @ucl, @inaturalist, @EdinburghUni, & @UMassAmherst researchers designed a performance test to find out. Each VLMโs task: Locate & reorganize the most
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Check out these cool PhD opportunities with Benjamin Kellenberger @b_kellenb
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Also today at #NeurIPS2024 Eddie @EdwardVendrow will be presenting our work on fine-grained text-to-image retrieval: INQUIRE: A Natural World Text-to-Image Retrieval Benchmark East Exhibit Hall A-C #4510 Fri 13 Dec 11 a.m. PST โ 2 p.m. PST https://t.co/avVzagM7ky
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Today at #NeurIPS2024 Max Hamilton will be presenting our work on species range estimation: Combining Observational Data and Language for Species Range Estimation East Exhibit Hall A-C #3903 Fri 13 Dec 11 a.m. PST https://t.co/DcaoH5HaB4
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Interested in species distribution modelling? If so, check out our recent work where we introduce a new model that can estimate the spatial range of a species from only a text description as input. Max Hamilton will be at #NeurIPS2024 this week to present it.
โHow can we predict where a species may be found when observations are limited? โจIntroducing Le-SINR: A text to range map model that can enable scientists to produce more accurate range maps with fewer observations. Thread ๐งต
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Check out Eddie and Omiros' work introducing our new vision-language retrieval dataset INQUIRE which will be presented at #NeurIPS2024 next week. @EdwardVendrow @panom1
๐ฏ 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. Thread๐๐งต
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Looking forward to speaking at the BMVA Symposium on 3D Vision next Feb. Deadline for submitting a proposal for a talk, poster, or demo is 27 November. https://t.co/t6XCB6ryzU
Interested in 3D Vision? ๐ธ Join us at @TheBMVA in London for a full-day symposium on 26 February at the British Computer Society, where weโll explore the latest in 3D Vision research. ๐ https://t.co/fBHPlfdwVo
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Fully-funded #PhD in #ML at @EdinburghUni (@InfAtEd, @ancAtEd), in ๐ ๐๐จ๐ฆ๐๐ญ๐ซ๐ข๐ ๐ฅ๐๐๐ซ๐ง๐ข๐ง๐ and ๐ฎ๐ง๐๐๐ซ๐ญ๐๐ข๐ง๐ญ๐ฒ ๐ช๐ฎ๐๐ง๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง. Application deadline: 15 Dec '24. Starting Sep '25. Details in the reply. Please RT and share with anyone interested!
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Watch now! AI & Ecology Student Infosession videos are live including presentations from ABC researchers. https://t.co/bNOqLVxVYC
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Excited that Canada CIFAR AI Chairs can co-supervise ELLIS PhDs! If you are a PhD applicant with an interest in machine learning and biodiversity, I would love to receive your app through this platform! We collaborate with @oisinmacaodha and @devistuia through @ABC_ClimateCtr
The portal is open: Our #ELLISPhD Program is now accepting applications! Apply by November 15 to work with leading #AI labs across Europe and choose your advisors among 200 top #machinelearning researchers! #JoinELLISforEurope #PhD #PhDProgram #ML
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The project team consists of: Nikolaos Tsagkas (@nikolastsagkas), Jack Rome, Subramanian Ramamoorthy (@sramamoorthy ), myself, and Chris Xiaoxuan (@chris_x_lu)
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