Oisin Mac Aodha

Orcid: 0000-0002-5787-5073

Affiliations:
  • University of Edinburgh, UK
  • Caltech, CA, USA (former)
  • University College London, UK (former)


According to our database1, Oisin Mac Aodha authored at least 55 papers between 2009 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Click to Grasp: Zero-Shot Precise Manipulation via Visual Diffusion Descriptors.
CoRR, 2024

2023
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps.
CoRR, 2023

Whombat: An open-source annotation tool for machine learning development in bioacoustics.
CoRR, 2023

VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations.
CoRR, 2023

Self-Supervised Multimodal Learning: A Survey.
CoRR, 2023

SAOR: Single-View Articulated Object Reconstruction.
CoRR, 2023

Heightfields for Efficient Scene Reconstruction for AR.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Active Learning-Based Species Range Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spatial Implicit Neural Representations for Global-Scale Species Mapping.
Proceedings of the International Conference on Machine Learning, 2023

Incremental Generalized Category Discovery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Virtual Occlusions Through Implicit Depth.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Fine-Grained Image Analysis With Deep Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Visual Knowledge Tracing.
Proceedings of the Computer Vision - ECCV 2022, 2022

Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset.
Proceedings of the Computer Vision - ECCV 2022, 2022

On Label Granularity and Object Localization.
Proceedings of the Computer Vision - ECCV 2022, 2022

Demystifying Unsupervised Semantic Correspondence Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

When Does Contrastive Visual Representation Learning Work?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Benchmarking Representation Learning for Natural World Image Collections.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-Label Learning From Single Positive Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Geocoding of trees from street addresses and street-level images.
CoRR, 2020

Learning Stereo from Single Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
The iWildCam 2018 Challenge Dataset.
CoRR, 2019

Teaching Multiple Concepts to a Forgetful Learner.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Digging Into Self-Supervised Monocular Depth Estimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Presence-Only Geographical Priors for Fine-Grained Image Classification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Bat detective - Deep learning tools for bat acoustic signal detection.
PLoS Comput. Biol., 2018

Digging Into Self-Supervised Monocular Depth Estimation.
CoRR, 2018

Teaching Multiple Concepts to Forgetful Learners.
CoRR, 2018

Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Context Embedding Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

The INaturalist Species Classification and Detection Dataset.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Teaching Categories to Human Learners With Visual Explanations.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data.
Proceedings of the British Machine Vision Conference 2018, 2018

Near-Optimal Machine Teaching via Explanatory Teaching Sets.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
The iNaturalist Challenge 2017 Dataset.
CoRR, 2017

Unsupervised Monocular Depth Estimation with Left-Right Consistency.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
My Text in Your Handwriting.
ACM Trans. Graph., 2016

Structured Prediction of Unobserved Voxels from a Single Depth Image.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Becoming the expert - interactive multi-class machine teaching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Supervised algorithm selection for flow and other computer vision problems.
PhD thesis, 2014

Putting the Scientist in the Loop - Accelerating Scientific Progress with Interactive Machine Learning.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Hierarchical Subquery Evaluation for Active Learning on a Graph.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Learning a Confidence Measure for Optical Flow.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Patch Based Synthesis for Single Depth Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Learning to find occlusion regions.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Segmenting video into classes of algorithm-suitability.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Evolving plastic responses in artificial cell models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009


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