Evolving plastic responses in artificial cell models. - John Maher; Fearghal Morgan; Oisin Mac Aodha (IEEE Congress on Evolutionary Computation, 2009)

Segmenting video into classes of algorithm-suitability. - Oisin Mac Aodha; Gabriel J. Brostow; Marc Pollefeys (CVPR, 2010)

Learning to find occlusion regions. - Ahmad Humayun; Oisin Mac Aodha; Gabriel J. Brostow (CVPR, 2011)

Patch Based Synthesis for Single Depth Image Super-Resolution. - Oisin Mac Aodha; Neill D. F. Campbell; Arun Nair; Gabriel J. Brostow (ECCV (3), 2012)

Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees. - Oisin Mac Aodha; Gabriel J. Brostow (ICCV, 2013)

Learning a Confidence Measure for Optical Flow. - Oisin Mac Aodha; Ahmad Humayun; Marc Pollefeys; Gabriel J. Brostow (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Hierarchical Subquery Evaluation for Active Learning on a Graph. - Oisin Mac Aodha; Neill D. F. Campbell; Jan Kautz; Gabriel J. Brostow (CVPR, 2014)

Putting the Scientist in the Loop - Accelerating Scientific Progress with Interactive Machine Learning. - Oisin Mac Aodha; Vassilios Stathopoulos 003; Gabriel J. Brostow; Michael Terry; Mark A. Girolami; Kate E. Jones (ICPR, 2014)

Supervised algorithm selection for flow and other computer vision problems. - Oisin Mac Aodha (2014)

Becoming the expert - interactive multi-class machine teaching. - Edward Johns; Oisin Mac Aodha; Gabriel J. Brostow (CVPR, 2015)

Structured Prediction of Unobserved Voxels from a Single Depth Image. - Michael Firman; Oisin Mac Aodha; Simon J. Julier; Gabriel J. Brostow (CVPR, 2016)

My Text in Your Handwriting. - Tom S. F. Haines; Oisin Mac Aodha; Gabriel J. Brostow (ACM Trans. Graph., 2016)

Unsupervised Monocular Depth Estimation with Left-Right Consistency. - Clément Godard; Oisin Mac Aodha; Gabriel J. Brostow (CVPR, 2017)

The iNaturalist Challenge 2017 Dataset. - Grant Van Horn; Oisin Mac Aodha; Yang Song 009; Alexander Shepard; Hartwig Adam; Pietro Perona; Serge J. Belongie (CoRR, 2017)

Near-Optimal Machine Teaching via Explanatory Teaching Sets. - Yuxin Chen 001; Oisin Mac Aodha; Shihan Su; Pietro Perona; Yisong Yue (AISTATS, 2018)

It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data. - Matteo Ruggero Ronchi; Oisin Mac Aodha; Robert Eng; Pietro Perona (BMVC, 2018)

Teaching Categories to Human Learners With Visual Explanations. - Oisin Mac Aodha; Shihan Su; Yuxin Chen 001; Pietro Perona; Yisong Yue (CVPR, 2018)

The INaturalist Species Classification and Detection Dataset. - Grant Van Horn; Oisin Mac Aodha; Yang Song 009; Yin Cui; Chen Sun 002; Alexander Shepard; Hartwig Adam; Pietro Perona; Serge J. Belongie (CVPR, 2018)

Context Embedding Networks. - Kun Ho Kim; Oisin Mac Aodha; Pietro Perona (CVPR, 2018)

Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. - Yuxin Chen 001; Adish Singla; Oisin Mac Aodha; Pietro Perona; Yisong Yue (NeurIPS, 2018)

Teaching Multiple Concepts to Forgetful Learners. - Anette Hunziker; Yuxin Chen 001; Oisin Mac Aodha; Manuel Gomez-Rodriguez; Andreas Krause 001; Pietro Perona; Yisong Yue; Adish Singla (CoRR, 2018)

Digging Into Self-Supervised Monocular Depth Estimation. - Clément Godard; Oisin Mac Aodha; Gabriel J. Brostow (CoRR, 2018)

Bat detective - Deep learning tools for bat acoustic signal detection. - Oisin Mac Aodha; Rory Gibb; Kate E. Barlow; Ella Browning; Michael Firman; Robin Freeman; Briana Harder; Libby Kinsey; Gary R. Mead; Stuart E. Newson; Ivan Pandourski; Stuart Parsons; et al. (PLoS Comput. Biol., 2018)

Presence-Only Geographical Priors for Fine-Grained Image Classification. - Oisin Mac Aodha; Elijah Cole; Pietro Perona (ICCV, 2019)

Digging Into Self-Supervised Monocular Depth Estimation. - Clément Godard; Oisin Mac Aodha; Michael Firman; Gabriel J. Brostow (ICCV, 2019)

Teaching Multiple Concepts to a Forgetful Learner. - Anette Hunziker; Yuxin Chen 001; Oisin Mac Aodha; Manuel Gomez Rodriguez; Andreas Krause 001; Pietro Perona; Yisong Yue; Adish Singla (NeurIPS, 2019)

The iWildCam 2018 Challenge Dataset. - Sara Beery; Grant Van Horn; Oisin Mac Aodha; Pietro Perona (CoRR, 2019)

Learning Stereo from Single Images. - Jamie Watson; Oisin Mac Aodha; Daniyar Turmukhambetov; Gabriel J. Brostow; Michael Firman (ECCV (1), 2020)

Geocoding of trees from street addresses and street-level images. - Daniel Laumer; Nico Lang; Natalie van Doorn; Oisin Mac Aodha; Pietro Perona; Jan Dirk Wegner (CoRR, 2020)

Multi-Label Learning From Single Positive Labels. - Elijah Cole; Oisin Mac Aodha; Titouan Lorieul; Pietro Perona; Dan Morris 001; Nebojsa Jojic (CVPR, 2021)

Benchmarking Representation Learning for Natural World Image Collections. - Grant Van Horn; Elijah Cole; Sara Beery; Kimberly Wilber; Serge J. Belongie; Oisin Mac Aodha (CVPR, 2021)

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth. - Jamie Watson; Oisin Mac Aodha; Victor Prisacariu; Gabriel J. Brostow; Michael Firman (CVPR, 2021)

ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation. - Octave Mariotti; Oisin Mac Aodha; Hakan Bilen (ICCV, 2021)

Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring. - Omiros Pantazis; Gabriel J. Brostow; Kate E. Jones; Oisin Mac Aodha (ICCV, 2021)

Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition. - Kiyoon Kim; Shreyank N. Gowda; Oisin Mac Aodha; Laura Sevilla-Lara (BMVC, 2022)

An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition. - Kiyoon Kim; Davide Moltisanti; Oisin Mac Aodha; Laura Sevilla-Lara (BMVC, 2022)

ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields. - Octave Mariotti; Oisin Mac Aodha; Hakan Bilen (BMVC, 2022)

SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models. - Omiros Pantazis; Gabriel J. Brostow; Kate E. Jones; Oisin Mac Aodha (BMVC, 2022)

When Does Contrastive Visual Representation Learning Work? - Elijah Cole; Xuan Yang; Kimberly Wilber; Oisin Mac Aodha; Serge J. Belongie (CVPR, 2022)

Demystifying Unsupervised Semantic Correspondence Estimation. - Mehmet Aygün; Oisin Mac Aodha (ECCV (30), 2022)

On Label Granularity and Object Localization. - Elijah Cole; Kimberly Wilber; Grant Van Horn; Xuan Yang; Marco Fornoni; Pietro Perona; Serge J. Belongie; Andrew G. Howard; Oisin Mac Aodha (ECCV (10), 2022)

Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset. - Grant Van Horn; Rui Qian; Kimberly Wilber; Hartwig Adam; Oisin Mac Aodha; Serge J. Belongie (ECCV (8), 2022)

Visual Knowledge Tracing. - Neehar Kondapaneni; Pietro Perona; Oisin Mac Aodha (ECCV (25), 2022)

Fine-Grained Image Analysis With Deep Learning: A Survey. - Xiu-Shen Wei; Yi-Zhe Song; Oisin Mac Aodha; Jianxin Wu 001; Yuxin Peng; Jinhui Tang 001; Jian Yang 003; Serge J. Belongie (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Virtual Occlusions Through Implicit Depth. - Jamie Watson; Mohamed Sayed; Zawar Qureshi; Gabriel J. Brostow; Sara Vicente; Oisin Mac Aodha; Michael Firman (CVPR, 2023)

Incremental Generalized Category Discovery. - Bingchen Zhao; Oisin Mac Aodha (ICCV, 2023)

Spatial Implicit Neural Representations for Global-Scale Species Mapping. - Elijah Cole; Grant Van Horn; Christian Lange 004; Alexander Shepard; Patrick Leary; Pietro Perona; Scott Loarie; Oisin Mac Aodha (ICML, 2023)

Active Learning-Based Species Range Estimation. - Christian Lange 004; Elijah Cole; Grant Van Horn; Oisin Mac Aodha (NeurIPS, 2023)

Heightfields for Efficient Scene Reconstruction for AR. - Jamie Watson; Sara Vicente; Oisin Mac Aodha; Clément Godard; Gabriel J. Brostow; Michael Firman (WACV, 2023)

VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations. - Nikolaos Tsagkas; Oisin Mac Aodha; Chris Xiaoxuan Lu (CoRR, 2023)

Whombat: An open-source annotation tool for machine learning development in bioacoustics. - Santiago Martinez Balvanera; Oisin Mac Aodha; Matthew J. Weldy; Holly Pringle; Ella Browning; Kate E. Jones (CoRR, 2023)

SAOR: Single-View Articulated Object Reconstruction. - Mehmet Aygün; Oisin Mac Aodha (CVPR, 2024)

Enhancing 2D Representation Learning with a 3D Prior. - Mehmet Aygün; Prithviraj Dhar; Zhicheng Yan 001; Oisin Mac Aodha; Rakesh Ranjan (CVPR Workshops, 2024)

GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions. - Salvatore Esposito; Qingshan Xu; Kacper Kania; Charlie Hewitt; Octave Mariotti; Lohit Petikam; Julien Valentin; Arno Onken; Oisin Mac Aodha (CVPR Workshops, 2024)

From Coarse to Fine-Grained Open-Set Recognition. - Nico Lang; Vésteinn Snæbjarnarson; Elijah Cole; Oisin Mac Aodha; Christian Igel; Serge J. Belongie (CVPR, 2024)

Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps. - Octave Mariotti; Oisin Mac Aodha; Hakan Bilen (CVPR, 2024)

AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings. - Jamie Watson; Filippo Aleotti; Mohamed Sayed; Zawar Qureshi; Oisin Mac Aodha; Gabriel J. Brostow; Michael Firman; Sara Vicente (CVPR, 2024)

Generating Binary Species Range Maps. - Filip Dorm; Christian Lange 004; Scott Loarie; Oisin Mac Aodha (ECCV Workshops (2), 2024)

Labeled Data Selection for Category Discovery. - Bingchen Zhao; Nico Lang; Serge J. Belongie; Oisin Mac Aodha (ECCV (55), 2024)

Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors. - Nikolaos Tsagkas; Jack Rome; Subramanian Ramamoorthy; Oisin Mac Aodha; Chris Xiaoxuan Lu (IROS, 2024)

Combining Observational Data and Language for Species Range Estimation. - Max Hamilton; Christian Lange 004; Elijah Cole; Alexander Shepard; Samuel Heinrich; Oisin Mac Aodha; Grant Van Horn; Subhransu Maji (NeurIPS, 2024)

INQUIRE: A Natural World Text-to-Image Retrieval Benchmark. - Edward Vendrow; Omiros Pantazis; Alexander Shepard; Gabriel J. Brostow; Kate E. Jones; Oisin Mac Aodha; Sara Beery; Grant Van Horn (NeurIPS, 2024)

Less is More: Discovering Concise Network Explanations. - Neehar Kondapaneni; Markus Marks; Oisin Mac Aodha; Pietro Perona (CoRR, 2024)

Deep learning-based ecological analysis of camera trap images is impacted by training data quality and size. - Omiros Pantazis; Peggy Bevan; Holly Pringle; Guilherme Braga Ferreira; Daniel J. Ingram; Emily Madsen; Liam Thomas; Dol Raj Thanet; Thakur Silwal; Santosh Rayamajhi; Gabriel J. Brostow; Oisin Mac Aodha; et al. (CoRR, 2024)

WildSAT: Learning Satellite Image Representations from Wildlife Observations. - Rangel Daroya; Elijah Cole; Oisin Mac Aodha; Grant Van Horn; Subhransu Maji (CoRR, 2024)

Vision Learners Meet Web Image-Text Pairs. - Bingchen Zhao; Quan Cui; Hao Wu; Osamu Yoshie; Cheng Yang; Oisin Mac Aodha (Trans. Mach. Learn. Res., 2024)

DepthCues: Evaluating Monocular Depth Perception in Large Vision Models. - Duolikun Danier; Mehmet Aygün; Changjian Li 001; Hakan Bilen; Oisin Mac Aodha (CVPR, 2025)

MVSAnywhere: Zero-Shot Multi-View Stereo. - Sergio Izquierdo; Mohamed Sayed; Michael Firman; Guillermo Garcia-Hernando; Daniyar Turmukhambetov; Javier Civera 001; Oisin Mac Aodha; Gabriel J. Brostow; Jamie Watson (CVPR, 2025)

CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections. - Thomas Walker; Salvatore Esposito; Daniel Rebain; Amir Vaxman; Arno Onken; Changjian Li 001; Oisin Mac Aodha (CVPR, 2025)

Representational Similarity via Interpretable Visual Concepts. - Neehar Kondapaneni; Oisin Mac Aodha; Pietro Perona (ICLR, 2025)

acoupi: An Open-Source Python Framework for Deploying Bioacoustic AI Models on Edge Devices. - Aude Vuilliomenet; Santiago Martinez Balvanera; Oisin Mac Aodha; Kate E. Jones; Duncan Wilson (CoRR, 2025)

When Pre-trained Visual Representations Fall Short: Limitations in Visuo-Motor Robot Learning. - Nikolaos Tsagkas; Andreas Sochopoulos; Duolikun Danier; Chris Xiaoxuan Lu; Oisin Mac Aodha (CoRR, 2025)

Few-shot Species Range Estimation. - Christian Lange 004; Max Hamilton; Elijah Cole; Alexander Shepard; Samuel Heinrich; Angela Zhu; Subhransu Maji; Grant Van Horn; Oisin Mac Aodha (CoRR, 2025)

Representational Difference Explanations. - Neehar Kondapaneni; Oisin Mac Aodha; Pietro Perona (CoRR, 2025)

Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence. - Octave Mariotti; Zhipeng Du; Yash Bhalgat; Oisin Mac Aodha; Hakan Bilen (CoRR, 2025)

Interpretable Text-Guided Image Clustering via Iterative Search. - Bingchen Zhao; Oisin Mac Aodha (CoRR, 2025)

VesselSDF: Distance Field Priors for Vascular Network Reconstruction. - Salvatore Esposito; Daniel Rebain; Arno Onken; Changjian Li 001; Oisin Mac Aodha (CoRR, 2025)

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements. - Bingchen Zhao; Despoina Magka; Minqi Jiang; Xian Li; Roberta Raileanu; Tatiana Shavrina; Jean-Christophe Gagnon-Audet; Kelvin Niu; Shagun Sodhani; Michael Shvartsman; Andrei Lupu; Alisia Maria Lupidi; et al. (CoRR, 2025)

Self-Supervised Multimodal Learning: A Survey. - Yongshuo Zong; Oisin Mac Aodha; Timothy M. Hospedales (IEEE Trans. Pattern Anal. Mach. Intell., 2025)