Oisin Mac Aodha
44 papers · 2013–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (14)
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(11)
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(75)
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Dynamic Duo
(12)
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Keyword Champion
(3)
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Grand Slam
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Deep Specialist
(10)
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Topic Evolution
β
The Questioner
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Prolific Year
(7)
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Conference Pioneer
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Unstoppable
(13)
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Century Club
(43)
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Trend Setter
ποΈ
Keyword Collector
(180)
Conferences
CVPR (19)
ICCV (7)
ECCV (6)
NIPS (5)
ICML (2)
AAAI (1)
AISTATS (1)
ICLR (1)
MICCAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
depth estimation
(7)
self-supervised learning
(6)
3d reconstruction
(5)
image classification
(4)
fine-grained classification
(4)
machine teaching
(4)
active learning
(3)
species distribution
(3)
representation learning
(3)
monocular depth
(3)
computer vision
(3)
object detection
(3)
transfer learning
(3)
species classification
(3)
interactive learning
(2)
3d vision
(2)
adversarial learning
(2)
semantic segmentation
(2)
zero-shot learning
(2)
weakly supervised learning
(2)
Papers
MotionPhysics: Learnable Motion Distillation for Text-Guided Simulation
AAAI 2026
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections
CVPR 2025
MVSAnywhere: Zero-Shot Multi-View Stereo
CVPR 2025
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
CVPR 2025
VesselSDF: Distance Field Priors for Vascular Network Reconstruction
MICCAI 2025
Feedforward Few-shot Species Range Estimation
ICML 2025
WildSAT: Learning Satellite Image Representations from Wildlife Observations
ICCV 2025
Representational Similarity via Interpretable Visual Concepts
ICLR 2025
SAOR: Single-View Articulated Object Reconstruction
CVPR 2024
AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings
CVPR 2024
Combining Observational Data and Language for Species Range Estimation
NIPS 2024
INQUIRE: A Natural World Text-to-Image Retrieval Benchmark
NIPS 2024
Labeled Data Selection for Category Discovery
ECCV 2024
From Coarse to Fine-Grained Open-Set Recognition
CVPR 2024
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps
CVPR 2024
Virtual Occlusions Through Implicit Depth
CVPR 2023
Active Learning-Based Species Range Estimation
NIPS 2023
Incremental Generalized Category Discovery
ICCV 2023
Spatial Implicit Neural Representations for Global-Scale Species Mapping
ICML 2023
Heightfields for Efficient Scene Reconstruction for AR
WACV 2023
On Label Granularity and Object Localization
ECCV 2022
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
ECCV 2022
When Does Contrastive Visual Representation Learning Work?
CVPR 2022
Demystifying Unsupervised Semantic Correspondence Estimation
ECCV 2022
Visual Knowledge Tracing
ECCV 2022
Multi-Label Learning From Single Positive Labels
CVPR 2021
Benchmarking Representation Learning for Natural World Image Collections
CVPR 2021
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
ICCV 2021
ViewNet: Unsupervised Viewpoint Estimation From Conditional Generation
ICCV 2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
CVPR 2021
Learning Stereo from Single Images
ECCV 2020
Digging Into Self-Supervised Monocular Depth Estimation
ICCV 2019
Presence-Only Geographical Priors for Fine-Grained Image Classification
ICCV 2019
Teaching Multiple Concepts to a Forgetful Learner
NIPS 2019
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
NIPS 2018
The INaturalist Species Classification and Detection Dataset
CVPR 2018
Near-Optimal Machine Teaching via Explanatory Teaching Sets
AISTATS 2018
Teaching Categories to Human Learners With Visual Explanations
CVPR 2018
Context Embedding Networks
CVPR 2018
Unsupervised Monocular Depth Estimation With Left-Right Consistency
CVPR 2017
Structured Prediction of Unobserved Voxels From a Single Depth Image
CVPR 2016
Becoming the Expert - Interactive Multi-Class Machine Teaching
CVPR 2015
Hierarchical Subquery Evaluation for Active Learning on a Graph
CVPR 2014
Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees
ICCV 2013