Aodha, O.M.[Oisin Mac]
Co Author Listing * AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings
* Becoming the expert: Interactive multi-class machine teaching
* Context Embedding Networks
* CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections
* Demystifying Unsupervised Semantic Correspondence Estimation
* DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
* Digging Into Self-Supervised Monocular Depth Estimation
* Enhancing 2D Representation Learning with a 3D Prior
* Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
* Fine-Grained Image Analysis with Deep Learning: A Survey
* Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
* From Coarse to Fine-Grained Open-Set Recognition
* GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions
* Heightfields for Efficient Scene Reconstruction for AR
* Hierarchical Subquery Evaluation for Active Learning on a Graph
* Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps
* iNaturalist Species Classification and Detection Dataset, The
* Incremental Generalized Category Discovery
* Labeled Data Selection for Category Discovery
* Learning a Confidence Measure for Optical Flow
* Learning Stereo from Single Images
* Learning to find occlusion regions
* Multi-Label Learning from Single Positive Labels
* MVSAnywhere: Zero-Shot Multi-View Stereo
* On Label Granularity and Object Localization
* Patch Based Synthesis for Single Depth Image Super-Resolution
* Presence-Only Geographical Priors for Fine-Grained Image Classification
* Putting the Scientist in the Loop: Accelerating Scientific Progress with Interactive Machine Learning
* Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees
* SAOR: Single-View Articulated Object Reconstruction
* Segmenting video into classes of algorithm-suitability
* Self-Supervised Multimodal Learning: A Survey
* Structured Prediction of Unobserved Voxels from a Single Depth Image
* Teaching Categories to Human Learners with Visual Explanations
* Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth, The
* Unsupervised Monocular Depth Estimation with Left-Right Consistency
* ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation
* Virtual Occlusions Through Implicit Depth
* Visual Knowledge Tracing
* When Does Contrastive Visual Representation Learning Work?
Includes: Aodha, O.M.[Oisin Mac] Aodha, O.M.
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