Oisin Mac Aodha

135 papers A* 36A 8B 2Journal 77Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
APRES: An Agentic Paper Revision and Evaluation System.
CoRR
Bingchen Zhao, Jenny Zhang, Chenxi Whitehouse, Minqi Jiang, Michael Shvartsman, Abhishek Charnalia, Despoina Magka, Tatiana Shavrina, Derek Dunfield, Oisin Mac Aodha, Yoram Bachrach
2026 J jnl
BiMotion: B-spline Motion for Text-guided Dynamic 3D Character Generation.
CoRR
Miaowei Wang, Qingxuan Yan, Zhi Cao, Yayuan Li, Oisin Mac Aodha, Jason J. Corso, Amir Vaxman
2026 J jnl
Large language models possess some ecological knowledge, but how much?
Ecol. Informatics
Filip Dorm, Joseph Millard, Drew Purves, Mike Harfoot, Oisin Mac Aodha
2026 A* conf
MotionPhysics: Learnable Motion Distillation for Text-Guided Simulation.
AAAI
Miaowei Wang, Jakub Zadrozny, Oisin Mac Aodha, Amir Vaxman
2026 J jnl
MotionPhysics: Learnable Motion Distillation for Text-Guided Simulation.
CoRR
Miaowei Wang, Jakub Zadrozny, Oisin Mac Aodha, Amir Vaxman
2025 J jnl
Attentive Feature Aggregation or: How Policies Learn to Stop Worrying about Robustness and Attend to Task-Relevant Visual Cues.
CoRR
Nikolaos Tsagkas, Andreas Sochopoulos, Duolikun Danier, Sethu Vijayakumar, Alexandros Kouris, Oisin Mac Aodha, Chris Xiaoxuan Lu
2025 J jnl
CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing.
CoRR
Leonie Bossemeyer, Samuel Heinrich, Grant Van Horn, Oisin Mac Aodha
2025 A* conf
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections.
CVPR
Thomas Walker, Salvatore Esposito, Daniel Rebain, Amir Vaxman, Arno Onken, Changjian Li, Oisin Mac Aodha
2025 A* conf
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models.
CVPR
Duolikun Danier, Mehmet Aygün, Changjian Li, Hakan Bilen, Oisin Mac Aodha
2025 J jnl
Enhancing Tactile-based Reinforcement Learning for Robotic Control.
CoRR
Elle Miller, Trevor McInroe, David Abel, Oisin Mac Aodha, Sethu Vijayakumar
2025 A* conf
Feedforward Few-shot Species Range Estimation.
ICML
Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard, Samuel Heinrich, Angela Zhu, Subhransu Maji, Grant Van Horn, Oisin Mac Aodha
2025 J jnl
Few-shot Species Range Estimation.
CoRR
Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard, Samuel Heinrich, Angela Zhu, Subhransu Maji, Grant Van Horn, Oisin Mac Aodha
2025 J jnl
INQUIRE-Search: A Framework for Interactive Discovery in Large-Scale Biodiversity Databases.
CoRR
Edward Vendrow, Julia Chae, Rupa Kurinchi-Vendhan, Isaac Eckert, Jazlynn Hall, Marta Jarzyna, Reymond Miyajima, Ruth Oliver, Laura Pollock, Lauren Shrack, Scott Yanco, Oisin Mac Aodha, Sara Beery
2025 J jnl
Interpretable Text-Guided Image Clustering via Iterative Search.
CoRR
Bingchen Zhao, Oisin Mac Aodha
2025 J jnl
Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence.
CoRR
Octave Mariotti, Zhipeng Du, Yash Bhalgat, Oisin Mac Aodha, Hakan Bilen
2025 A* conf
MVSAnywhere: Zero-Shot Multi-View Stereo.
CVPR
Sergio Izquierdo, Mohamed Sayed, Michael Firman, Guillermo Garcia-Hernando, Daniyar Turmukhambetov, Javier Civera, Oisin Mac Aodha, Gabriel J. Brostow, Jamie Watson
2025 J jnl
MVSAnywhere: Zero-Shot Multi-View Stereo.
CoRR
Sergio Izquierdo, Mohamed Sayed, Michael Firman, Guillermo Garcia-Hernando, Daniyar Turmukhambetov, Javier Civera, Oisin Mac Aodha, Gabriel J. Brostow, Jamie Watson
2025 J jnl
Representational Difference Explanations.
CoRR
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
2025 A* conf
Representational Similarity via Interpretable Visual Concepts.
ICLR
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
2025 J jnl
Representational Similarity via Interpretable Visual Concepts.
CoRR
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
2025 J jnl
Sample-efficient Integration of New Modalities into Large Language Models.
CoRR
Osman Batur Ince, André F. T. Martins, Oisin Mac Aodha, Edoardo M. Ponti
2025 J jnl
Self-Supervised Multimodal Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Yongshuo Zong, Oisin Mac Aodha, Timothy M. Hospedales
2025 J jnl
The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements.
CoRR
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, Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Thomas Foster, Lucia Cipolina-Kun, Abhishek Charnalia, Derek Dunfield, Alexander H. Miller, Oisin Mac Aodha, Jakob N. Foerster, Yoram Bachrach
2025 — conf
VesselSDF: Distance Field Priors for Vascular Network Reconstruction.
MICCAI (2)
Salvatore Esposito, Daniel Rebain, Arno Onken, Changjian Li, Oisin Mac Aodha
2025 J jnl
VesselSDF: Distance Field Priors for Vascular Network Reconstruction.
CoRR
Salvatore Esposito, Daniel Rebain, Arno Onken, Changjian Li, Oisin Mac Aodha
2025 J jnl
View-Consistent Diffusion Representations for 3D-Consistent Video Generation.
CoRR
Duolikun Danier, Ge Gao, Steven McDonagh, Changjian Li, Hakan Bilen, Oisin Mac Aodha
2025 J jnl
When Pre-trained Visual Representations Fall Short: Limitations in Visuo-Motor Robot Learning.
CoRR
Nikolaos Tsagkas, Andreas Sochopoulos, Duolikun Danier, Chris Xiaoxuan Lu, Oisin Mac Aodha
2025 J jnl
acoupi: An Open-Source Python Framework for Deploying Bioacoustic AI Models on Edge Devices.
CoRR
Aude Vuilliomenet, Santiago Martinez Balvanera, Oisin Mac Aodha, Kate E. Jones, Duncan Wilson
2024 A* conf
AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings.
CVPR
Jamie Watson, Filippo Aleotti, Mohamed Sayed, Zawar Qureshi, Oisin Mac Aodha, Gabriel J. Brostow, Michael Firman, Sara Vicente
2024 J jnl
AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings.
CoRR
Jamie Watson, Filippo Aleotti, Mohamed Sayed, Zawar Qureshi, Oisin Mac Aodha, Gabriel J. Brostow, Michael Firman, Sara Vicente
2024 A conf
Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors.
IROS
Nikolaos Tsagkas, Jack Rome, Subramanian Ramamoorthy, Oisin Mac Aodha, Chris Xiaoxuan Lu
2024 J jnl
Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors.
CoRR
Nikolaos Tsagkas, Jack Rome, Subramanian Ramamoorthy, Oisin Mac Aodha, Chris Xiaoxuan Lu
2024 A* conf
Combining Observational Data and Language for Species Range Estimation.
NeurIPS
Max Hamilton, Christian Lange, Elijah Cole, Alexander Shepard, Samuel Heinrich, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji
2024 J jnl
Combining Observational Data and Language for Species Range Estimation.
CoRR
Max Hamilton, Christian Lange, Elijah Cole, Alexander Shepard, Samuel Heinrich, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji
2024 J jnl
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections.
CoRR
Thomas Walker, Salvatore Esposito, Daniel Rebain, Amir Vaxman, Arno Onken, Changjian Li, Oisin Mac Aodha
2024 J jnl
Deep learning-based ecological analysis of camera trap images is impacted by training data quality and size.
CoRR
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, Kate E. Jones
2024 J jnl
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models.
CoRR
Duolikun Danier, Mehmet Aygün, Changjian Li, Hakan Bilen, Oisin Mac Aodha
2024 — conf
Enhancing 2D Representation Learning with a 3D Prior.
CVPR Workshops
Mehmet Aygün, Prithviraj Dhar, Zhicheng Yan, Oisin Mac Aodha, Rakesh Ranjan
2024 J jnl
Enhancing 2D Representation Learning with a 3D Prior.
CoRR
Mehmet Aygün, Prithviraj Dhar, Zhicheng Yan, Oisin Mac Aodha, Rakesh Ranjan
2024 A* conf
From Coarse to Fine-Grained Open-Set Recognition.
CVPR
Nico Lang, Vésteinn Snæbjarnarson, Elijah Cole, Oisin Mac Aodha, Christian Igel, Serge J. Belongie
2024 — conf
Generating Binary Species Range Maps.
ECCV Workshops (2)
Filip Dorm, Christian Lange, Scott Loarie, Oisin Mac Aodha
2024 J jnl
Generating Binary Species Range Maps.
CoRR
Filip Dorm, Christian Lange, Scott Loarie, Oisin Mac Aodha
2024 — conf
GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions.
CVPR Workshops
Salvatore Esposito, Qingshan Xu, Kacper Kania, Charlie Hewitt, Octave Mariotti, Lohit Petikam, Julien Valentin, Arno Onken, Oisin Mac Aodha
2024 J jnl
GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions.
CoRR
Salvatore Esposito, Qingshan Xu, Kacper Kania, Charlie Hewitt, Octave Mariotti, Lohit Petikam, Julien Valentin, Arno Onken, Oisin Mac Aodha
2024 A* conf
INQUIRE: A Natural World Text-to-Image Retrieval Benchmark.
NeurIPS
Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn
2024 J jnl
INQUIRE: A Natural World Text-to-Image Retrieval Benchmark.
CoRR
Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn
2024 A* conf
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps.
CVPR
Octave Mariotti, Oisin Mac Aodha, Hakan Bilen
2024 — conf
Labeled Data Selection for Category Discovery.
ECCV (55)
Bingchen Zhao, Nico Lang, Serge J. Belongie, Oisin Mac Aodha
2024 J jnl
Labeled Data Selection for Category Discovery.
CoRR
Bingchen Zhao, Nico Lang, Serge J. Belongie, Oisin Mac Aodha
2024 J jnl
Less is More: Discovering Concise Network Explanations.
CoRR
Neehar Kondapaneni, Markus Marks, Oisin Mac Aodha, Pietro Perona
2024 A* conf
SAOR: Single-View Articulated Object Reconstruction.
CVPR
Mehmet Aygün, Oisin Mac Aodha
2024 J jnl
Vision Learners Meet Web Image-Text Pairs.
Trans. Mach. Learn. Res.
Bingchen Zhao, Quan Cui, Hao Wu, Osamu Yoshie, Cheng Yang, Oisin Mac Aodha
2024 J jnl
WildSAT: Learning Satellite Image Representations from Wildlife Observations.
CoRR
Rangel Daroya, Elijah Cole, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji
2023 A* conf
Active Learning-Based Species Range Estimation.
NeurIPS
Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha
2023 J jnl
Active Learning-Based Species Range Estimation.
CoRR
Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha
2023 A conf
Heightfields for Efficient Scene Reconstruction for AR.
WACV
Jamie Watson, Sara Vicente, Oisin Mac Aodha, Clément Godard, Gabriel J. Brostow, Michael Firman
2023 J jnl
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps.
CoRR
Octave Mariotti, Oisin Mac Aodha, Hakan Bilen
2023 A* conf
Incremental Generalized Category Discovery.
ICCV
Bingchen Zhao, Oisin Mac Aodha
2023 J jnl
Incremental Generalized Category Discovery.
CoRR
Bingchen Zhao, Oisin Mac Aodha
2023 J jnl
SAOR: Single-View Articulated Object Reconstruction.
CoRR
Mehmet Aygün, Oisin Mac Aodha
2023 J jnl
Self-Supervised Multimodal Learning: A Survey.
CoRR
Yongshuo Zong, Oisin Mac Aodha, Timothy M. Hospedales
2023 A* conf
Spatial Implicit Neural Representations for Global-Scale Species Mapping.
ICML
Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha
2023 J jnl
Spatial Implicit Neural Representations for Global-Scale Species Mapping.
CoRR
Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha
2023 J jnl
VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations.
CoRR
Nikolaos Tsagkas, Oisin Mac Aodha, Chris Xiaoxuan Lu
2023 A* conf
Virtual Occlusions Through Implicit Depth.
CVPR
Jamie Watson, Mohamed Sayed, Zawar Qureshi, Gabriel J. Brostow, Sara Vicente, Oisin Mac Aodha, Michael Firman
2023 J jnl
Virtual Occlusions Through Implicit Depth.
CoRR
Jamie Watson, Mohamed Sayed, Zawar Qureshi, Gabriel J. Brostow, Sara Vicente, Oisin Mac Aodha, Michael Firman
2023 J jnl
Whombat: An open-source annotation tool for machine learning development in bioacoustics.
CoRR
Santiago Martinez Balvanera, Oisin Mac Aodha, Matthew J. Weldy, Holly Pringle, Ella Browning, Kate E. Jones
2022 A conf
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition.
BMVC
Kiyoon Kim, Davide Moltisanti, Oisin Mac Aodha, Laura Sevilla-Lara
2022 J jnl
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition.
CoRR
Kiyoon Kim, Davide Moltisanti, Oisin Mac Aodha, Laura Sevilla-Lara
2022 A conf
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition.
BMVC
Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara
2022 J jnl
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition.
CoRR
Kiyoon Kim, Shreyank N. Gowda, Oisin Mac Aodha, Laura Sevilla-Lara
2022 — conf
Demystifying Unsupervised Semantic Correspondence Estimation.
ECCV (30)
Mehmet Aygün, Oisin Mac Aodha
2022 J jnl
Demystifying Unsupervised Semantic Correspondence Estimation.
CoRR
Mehmet Aygün, Oisin Mac Aodha
2022 — conf
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset.
ECCV (8)
Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge J. Belongie
2022 J jnl
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset.
CoRR
Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge J. Belongie
2022 J jnl
Fine-Grained Image Analysis With Deep Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie
2022 — conf
On Label Granularity and Object Localization.
ECCV (10)
Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
2022 J jnl
On Label Granularity and Object Localization.
CoRR
Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge J. Belongie, Andrew G. Howard, Oisin Mac Aodha
2022 A conf
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models.
BMVC
Omiros Pantazis, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha
2022 J jnl
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models.
CoRR
Omiros Pantazis, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha
2022 A conf
ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields.
BMVC
Octave Mariotti, Oisin Mac Aodha, Hakan Bilen
2022 J jnl
ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields.
CoRR
Octave Mariotti, Oisin Mac Aodha, Hakan Bilen
2022 J jnl
ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation.
CoRR
Octave Mariotti, Oisin Mac Aodha, Hakan Bilen
2022 — conf
Visual Knowledge Tracing.
ECCV (25)
Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha
2022 J jnl
Visual Knowledge Tracing.
CoRR
Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha
2022 A* conf
When Does Contrastive Visual Representation Learning Work?
CVPR
Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge J. Belongie
2021 A* conf
Benchmarking Representation Learning for Natural World Image Collections.
CVPR
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha
2021 J jnl
Benchmarking Representation Learning for Natural World Image Collections.
CoRR
Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha
2021 J jnl
Fine-Grained Image Analysis with Deep Learning: A Survey.
CoRR
Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie
2021 A* conf
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring.
ICCV
Omiros Pantazis, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha
2021 J jnl
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring.
CoRR
Omiros Pantazis, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha
2021 A* conf
Multi-Label Learning From Single Positive Labels.
CVPR
Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic
2021 J jnl
Multi-Label Learning from Single Positive Labels.
CoRR
Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic
2021 A* conf
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth.
CVPR
Jamie Watson, Oisin Mac Aodha, Victor Prisacariu, Gabriel J. Brostow, Michael Firman
2021 J jnl
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth.
CoRR
Jamie Watson, Oisin Mac Aodha, Victor Prisacariu, Gabriel J. Brostow, Michael Firman
2021 A* conf
ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation.
ICCV
Octave Mariotti, Oisin Mac Aodha, Hakan Bilen
2021 J jnl
When Does Contrastive Visual Representation Learning Work?
CoRR
Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge J. Belongie
2020 J jnl
Geocoding of trees from street addresses and street-level images.
CoRR
Daniel Laumer, Nico Lang, Natalie van Doorn, Oisin Mac Aodha, Pietro Perona, Jan Dirk Wegner
2020 — conf
Learning Stereo from Single Images.
ECCV (1)
Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow, Michael Firman
2020 J jnl
Learning Stereo from Single Images.
CoRR
Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow, Michael Firman
2019 A* conf
Digging Into Self-Supervised Monocular Depth Estimation.
ICCV
Clément Godard, Oisin Mac Aodha, Michael Firman, Gabriel J. Brostow
2019 A* conf
Presence-Only Geographical Priors for Fine-Grained Image Classification.
ICCV
Oisin Mac Aodha, Elijah Cole, Pietro Perona
2019 J jnl
Presence-Only Geographical Priors for Fine-Grained Image Classification.
CoRR
Oisin Mac Aodha, Elijah Cole, Pietro Perona
2019 A* conf
Teaching Multiple Concepts to a Forgetful Learner.
NeurIPS
Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
2019 J jnl
The iWildCam 2018 Challenge Dataset.
CoRR
Sara Beery, Grant Van Horn, Oisin Mac Aodha, Pietro Perona
2018 J jnl
Bat detective - Deep learning tools for bat acoustic signal detection.
PLoS Comput. Biol.
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, Jon Russ, Abigel Szodoray-Paradi, Farkas Szodoray-Paradi, Elena Tilova, Mark A. Girolami, Gabriel J. Brostow, Kate E. Jones
2018 A* conf
Context Embedding Networks.
CVPR
Kun Ho Kim, Oisin Mac Aodha, Pietro Perona
2018 J jnl
Digging Into Self-Supervised Monocular Depth Estimation.
CoRR
Clément Godard, Oisin Mac Aodha, Gabriel J. Brostow
2018 A conf
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data.
BMVC
Matteo Ruggero Ronchi, Oisin Mac Aodha, Robert Eng, Pietro Perona
2018 J jnl
It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data.
CoRR
Matteo Ruggero Ronchi, Oisin Mac Aodha, Robert Eng, Pietro Perona
2018 A conf
Near-Optimal Machine Teaching via Explanatory Teaching Sets.
AISTATS
Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue
2018 A* conf
Teaching Categories to Human Learners With Visual Explanations.
CVPR
Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue
2018 J jnl
Teaching Categories to Human Learners with Visual Explanations.
CoRR
Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue
2018 J jnl
Teaching Multiple Concepts to Forgetful Learners.
CoRR
Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez-Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla
2018 A* conf
The INaturalist Species Classification and Detection Dataset.
CVPR
Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie
2018 A* conf
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners.
NeurIPS
Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
2018 J jnl
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners.
CoRR
Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
2017 J jnl
Context Embedding Networks.
CoRR
Kun Ho Kim, Oisin Mac Aodha, Pietro Perona
2017 J jnl
The iNaturalist Challenge 2017 Dataset.
CoRR
Grant Van Horn, Oisin Mac Aodha, Yang Song, Alexander Shepard, Hartwig Adam, Pietro Perona, Serge J. Belongie
2017 A* conf
Unsupervised Monocular Depth Estimation with Left-Right Consistency.
CVPR
Clément Godard, Oisin Mac Aodha, Gabriel J. Brostow
2016 J jnl
My Text in Your Handwriting.
ACM Trans. Graph.
Tom S. F. Haines, Oisin Mac Aodha, Gabriel J. Brostow
2016 A* conf
Structured Prediction of Unobserved Voxels from a Single Depth Image.
CVPR
Michael Firman, Oisin Mac Aodha, Simon J. Julier, Gabriel J. Brostow
2016 J jnl
Unsupervised Monocular Depth Estimation with Left-Right Consistency.
CoRR
Clément Godard, Oisin Mac Aodha, Gabriel J. Brostow
2015 J jnl
Becoming the Expert - Interactive Multi-Class Machine Teaching.
CoRR
Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow
2015 A* conf
Becoming the expert - interactive multi-class machine teaching.
CVPR
Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow
2015 J jnl
Hierarchical Subquery Evaluation for Active Learning on a Graph.
CoRR
Oisin Mac Aodha, Neill D. F. Campbell, Jan Kautz, Gabriel J. Brostow
2014 A* conf
Hierarchical Subquery Evaluation for Active Learning on a Graph.
CVPR
Oisin Mac Aodha, Neill D. F. Campbell, Jan Kautz, Gabriel J. Brostow
2014 B conf
Putting the Scientist in the Loop - Accelerating Scientific Progress with Interactive Machine Learning.
ICPR
Oisin Mac Aodha, Vassilios Stathopoulos, Gabriel J. Brostow, Michael Terry, Mark A. Girolami, Kate E. Jones
2014 — —
Supervised algorithm selection for flow and other computer vision problems.
Oisin Mac Aodha
2013 J jnl
Learning a Confidence Measure for Optical Flow.
IEEE Trans. Pattern Anal. Mach. Intell.
Oisin Mac Aodha, Ahmad Humayun, Marc Pollefeys, Gabriel J. Brostow
2013 A* conf
Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees.
ICCV
Oisin Mac Aodha, Gabriel J. Brostow
2012 — conf
Patch Based Synthesis for Single Depth Image Super-Resolution.
ECCV (3)
Oisin Mac Aodha, Neill D. F. Campbell, Arun Nair, Gabriel J. Brostow
2011 A* conf
Learning to find occlusion regions.
CVPR
Ahmad Humayun, Oisin Mac Aodha, Gabriel J. Brostow
2010 A* conf
Segmenting video into classes of algorithm-suitability.
CVPR
Oisin Mac Aodha, Gabriel J. Brostow, Marc Pollefeys
2009 B conf
Evolving plastic responses in artificial cell models.
IEEE Congress on Evolutionary Computation
John Maher, Fearghal Morgan, Oisin Mac Aodha