Oisin Mac Aodha
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
13
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MotionPhysics: Learnable Motion Distillation for Text-Guided Simulation. | Miaowei Wang, Jakub Zadrozny, Oisin Mac Aodha, Amir Vaxman |
| 2025 | CVPR | DepthCues: Evaluating Monocular Depth Perception in Large Vision Models. | Duolikun Danier, Mehmet Aygn, Changjian Li, Hakan Bilen, Oisin Mac Aodha |
| 2025 | CVPR | MVSAnywhere: Zero-Shot Multi-View Stereo. | Sergio Izquierdo, Mohamed Sayed, Michael Firman, Guillermo Garcia-Hernando, Daniyar Turmukhambetov, Javier Civera, Oisin Mac Aodha, Gabriel J. Brostow, Jamie Watson |
| 2025 | CVPR | CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections. | Thomas Walker, Salvatore Esposito, Daniel Rebain, Amir Vaxman, Arno Onken, Changjian Li, Oisin Mac Aodha |
| 2025 | ICCV | WildSAT: Learning Satellite Image Representations from Wildlife Observations. | Rangel Daroya, Elijah Cole, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji |
| 2025 | ICLR | Representational Similarity via Interpretable Visual Concepts. | Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona |
| 2025 | ICML | Feedforward Few-shot Species Range Estimation. | Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard, Samuel Heinrich, Angela Zhu, Subhransu Maji, Grant Van Horn, Oisin Mac Aodha |
| 2025 | MICCAI | VesselSDF: Distance Field Priors for Vascular Network Reconstruction. | Salvatore Esposito, Daniel Rebain, Arno Onken, Changjian Li, Oisin Mac Aodha |
| 2024 | CVPR | SAOR: Single-View Articulated Object Reconstruction. | Mehmet Aygn, Oisin Mac Aodha |
| 2024 | CVPR | Enhancing 2D Representation Learning with a 3D Prior. | Mehmet Aygn, Prithviraj Dhar, Zhicheng Yan, Oisin Mac Aodha, Rakesh Ranjan |
| 2024 | CVPR | 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 |
| 2024 | CVPR | From Coarse to Fine-Grained Open-Set Recognition. | Nico Lang, Vsteinn Snbjarnarson, Elijah Cole, Oisin Mac Aodha, Christian Igel, Serge J. Belongie |
| 2024 | CVPR | Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps. | Octave Mariotti, Oisin Mac Aodha, Hakan Bilen |
| 2024 | CVPR | 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 |
| 2024 | ECCV | Generating Binary Species Range Maps. | Filip Dorm, Christian Lange, Scott Loarie, Oisin Mac Aodha |
| 2024 | ECCV | Labeled Data Selection for Category Discovery. | Bingchen Zhao, Nico Lang, Serge J. Belongie, Oisin Mac Aodha |
| 2024 | IROS | Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors. | Nikolaos Tsagkas, Jack Rome, Subramanian Ramamoorthy, Oisin Mac Aodha, Chris Xiaoxuan Lu |
| 2023 | CVPR | Virtual Occlusions Through Implicit Depth. | Jamie Watson, Mohamed Sayed, Zawar Qureshi, Gabriel J. Brostow, Sara Vicente, Oisin Mac Aodha, Michael Firman |
| 2023 | ICCV | Incremental Generalized Category Discovery. | Bingchen Zhao, Oisin Mac Aodha |
| 2023 | ICML | Spatial Implicit Neural Representations for Global-Scale Species Mapping. | Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha |
| 2023 | WACV | Heightfields for Efficient Scene Reconstruction for AR. | Jamie Watson, Sara Vicente, Oisin Mac Aodha, Clment Godard, Gabriel J. Brostow, Michael Firman |
| 2022 | BMVC | Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition. | Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara |
| 2022 | BMVC | An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition. | Kiyoon Kim, Davide Moltisanti, Oisin Mac Aodha, Laura Sevilla-Lara |
| 2022 | BMVC | ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields. | Octave Mariotti, Oisin Mac Aodha, Hakan Bilen |
| 2022 | BMVC | SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models. | Omiros Pantazis, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha |
| 2022 | CVPR | When Does Contrastive Visual Representation Learning Work? | Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge J. Belongie |
| 2022 | ECCV | Demystifying Unsupervised Semantic Correspondence Estimation. | Mehmet Aygn, Oisin Mac Aodha |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset. | Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge J. Belongie |
| 2022 | ECCV | Visual Knowledge Tracing. | Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha |
| 2021 | CVPR | Multi-Label Learning From Single Positive Labels. | Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic |
| 2021 | CVPR | Benchmarking Representation Learning for Natural World Image Collections. | Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha |
| 2021 | CVPR | The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth. | Jamie Watson, Oisin Mac Aodha, Victor Prisacariu, Gabriel J. Brostow, Michael Firman |
| 2021 | ICCV | ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation. | Octave Mariotti, Oisin Mac Aodha, Hakan Bilen |
| 2021 | ICCV | Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring. | Omiros Pantazis, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha |
| 2020 | ECCV | Learning Stereo from Single Images. | Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow, Michael Firman |
| 2019 | ICCV | Presence-Only Geographical Priors for Fine-Grained Image Classification. | Oisin Mac Aodha, Elijah Cole, Pietro Perona |
| 2019 | ICCV | Digging Into Self-Supervised Monocular Depth Estimation. | Clment Godard, Oisin Mac Aodha, Michael Firman, Gabriel J. Brostow |
| 2018 | AISTATS | Near-Optimal Machine Teaching via Explanatory Teaching Sets. | Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue |
| 2018 | BMVC | It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data. | Matteo Ruggero Ronchi, Oisin Mac Aodha, Robert Eng, Pietro Perona |
| 2018 | CVPR | Teaching Categories to Human Learners With Visual Explanations. | Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue |
| 2018 | CVPR | The INaturalist Species Classification and Detection Dataset. | Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie |
| 2018 | CVPR | Context Embedding Networks. | Kun Ho Kim, Oisin Mac Aodha, Pietro Perona |
| 2017 | CVPR | Unsupervised Monocular Depth Estimation with Left-Right Consistency. | Clment Godard, Oisin Mac Aodha, Gabriel J. Brostow |
| 2016 | CVPR | Structured Prediction of Unobserved Voxels from a Single Depth Image. | Michael Firman, Oisin Mac Aodha, Simon J. Julier, Gabriel J. Brostow |
| 2015 | CVPR | Becoming the expert - interactive multi-class machine teaching. | Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow |
| 2014 | CVPR | Hierarchical Subquery Evaluation for Active Learning on a Graph. | Oisin Mac Aodha, Neill D. F. Campbell, Jan Kautz, Gabriel J. Brostow |
| 2014 | ICPR | Putting the Scientist in the Loop - Accelerating Scientific Progress with Interactive Machine Learning. | Oisin Mac Aodha, Vassilios Stathopoulos, Gabriel J. Brostow, Michael Terry, Mark A. Girolami, Kate E. Jones |
| 2013 | ICCV | Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees. | Oisin Mac Aodha, Gabriel J. Brostow |
| 2012 | ECCV | Patch Based Synthesis for Single Depth Image Super-Resolution. | Oisin Mac Aodha, Neill D. F. Campbell, Arun Nair, Gabriel J. Brostow |
| 2011 | CVPR | Learning to find occlusion regions. | Ahmad Humayun, Oisin Mac Aodha, Gabriel J. Brostow |
| 2010 | CVPR | Segmenting video into classes of algorithm-suitability. | Oisin Mac Aodha, Gabriel J. Brostow, Marc Pollefeys |
| 2009 | CEC | Evolving plastic responses in artificial cell models. | John Maher, Fearghal Morgan, Oisin Mac Aodha |