Aodha, Oisin Mac

49 publications

NeurIPS 2025 CleverBirds: A Multiple-Choice Benchmark for Fine-Grained Human Knowledge Tracing Leonie Bossemeyer, Samuel Heinrich, Grant Van Horn, Oisin Mac Aodha

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

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

NeurIPS 2025 Enhancing Tactile-Based Reinforcement Learning for Robotic Control Elle Miller, Trevor McInroe, David Abel, Oisin Mac Aodha, Sethu Vijayakumar

NeurIPS 2025 Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence Octave Mariotti, Zhipeng Du, Yash Sanjay Bhalgat, Oisin Mac Aodha, Hakan Bilen

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

ICLRW 2025 Representational Difference Clustering Neehar Kondapaneni, Emily Gu, Oisin Mac Aodha, Pietro Perona

NeurIPS 2025 Representational Difference Explanations Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona

ICLR 2025 Representational Similarity via Interpretable Visual Concepts Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona

NeurIPS 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, Karen Hambardzumyan, Martin Josifoski, Edan Toledo, Thomas Foster, Lucia Cipolina-Kun, Derek Dunfield, Abhishek Charnalia, Alexander H Miller, Oisin Mac Aodha, Jakob Nicolaus Foerster, Yoram Bachrach

ICCV 2025 WildSAT: Learning Satellite Image Representations from Wildlife Observations Rangel Daroya, Elijah Cole, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji

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

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

CVPRW 2024 Enhancing 2D Representation Learning with a 3D Prior Mehmet Aygün, Prithviraj Dhar, Zhicheng Yan, Oisin Mac Aodha, Rakesh Ranjan

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

ECCVW 2024 Generating Binary Species Range Maps Filip Dorm, Christian Lange, Scott Loarie, Oisin Mac Aodha

CVPRW 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

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

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

ECCV 2024 Labeled Data Selection for Category Discovery Bingchen Zhao, Nico Lang, Serge Belongie, Oisin Mac Aodha

ICLRW 2024 Less Is More: Discovering Concise Network Explanations Neehar Kondapaneni, Markus Marks, Oisin Mac Aodha, Pietro Perona

CVPR 2024 SAOR: Single-View Articulated Object Reconstruction Mehmet Aygun, Oisin Mac Aodha

TMLR 2024 Vision Learners Meet Web Image-Text Pairs Bingchen Zhao, Quan Cui, Hao Wu, Osamu Yoshie, Cheng Yang, Oisin Mac Aodha

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

WACV 2023 Heightfields for Efficient Scene Reconstruction for AR Jamie Watson, Sara Vicente, Oisin Mac Aodha, Clément Godard, Gabriel Brostow, Michael Firman

ICCV 2023 Incremental Generalized Category Discovery Bingchen Zhao, Oisin Mac Aodha

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

ECCV 2022 Demystifying Unsupervised Semantic Correspondence Estimation Mehmet Aygün, Oisin Mac Aodha

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

ECCV 2022 On Label Granularity and Object Localization Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge Belongie, Andrew Howard, Oisin Mac Aodha

ECCV 2022 Visual Knowledge Tracing Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha

CVPR 2022 When Does Contrastive Visual Representation Learning Work? Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge Belongie

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

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

CVPR 2021 Multi-Label Learning from Single Positive Labels Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic

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

ICCV 2021 ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation Octave Mariotti, Oisin Mac Aodha, Hakan Bilen

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

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

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

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

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

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

CVPR 2015 Becoming the Expert - Interactive Multi-Class Machine Teaching Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow

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

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

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

CVPR 2011 Learning to Find Occlusion Regions Ahmad Humayun, Oisin Mac Aodha, Gabriel J. Brostow

CVPR 2010 Segmenting Video into Classes of Algorithm-Suitability Oisin Mac Aodha, Gabriel J. Brostow, Marc Pollefeys