Oisin Mac Aodha
45 papers · 2013–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+15 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (71) π Interdisciplinary Bridge Β· Gold π Conference Polyglot Β· Gold π Academic Marathon Β· Half π£ Hot Topic Early Bird
π
Conference Loyalist
(20)
π¬
Deep Specialist
(10)
π€
Dynamic Duo
(12)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π§
Keyword Pioneer
π
Grand Slam
π
Renaissance Researcher
(9)
π₯
Unstoppable Β· Silver
β
The Questioner
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(190)
Venues
Top co-authors
Research topics
Machine Learning
(29)
Learning Types Β· Machine Learning
(24)
Computer Vision
(20)
Deep Learning
(17)
Analysis
(16)
Core Methods
(16)
Artificial Intelligence
(15)
Core AI Β· Artificial Intelligence
(12)
Learning Types Β· Deep Learning
(9)
Architectures
(5)
Application Areas
(4)
Core AI Β· Computer Vision
(4)
Domain-Specific
(4)
Learning Paradigms
(4)
Models
(4)
Keywords
depth estimation
(7)
self-supervised learning
(6)
3d reconstruction
(5)
image classification
(4)
machine teaching
(4)
fine-grained classification
(4)
object detection
(3)
active learning
(3)
transfer learning
(3)
monocular depth
(3)
representation learning
(3)
species range estimation
(3)
species classification
(3)
species distribution
(3)
computer vision
(3)
3d vision
(2)
adversarial learning
(2)
semantic segmentation
(2)
zero-shot learning
(2)
unsupervised learning
(2)
Papers
BiMotion: B-spline Motion for Text-guided Dynamic 3D Character Generation
CVPR 2026
MotionPhysics: Learnable Motion Distillation for Text-Guided Simulation
AAAI 2026
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections
CVPR 2025
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
CVPR 2025
Feedforward Few-shot Species Range Estimation
ICML 2025
MVSAnywhere: Zero-Shot Multi-View Stereo
CVPR 2025
Representational Similarity via Interpretable Visual Concepts
ICLR 2025
VesselSDF: Distance Field Priors for Vascular Network Reconstruction
MICCAI 2025
WildSAT: Learning Satellite Image Representations from Wildlife Observations
ICCV 2025
AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings
CVPR 2024
Combining Observational Data and Language for Species Range Estimation
NeurIPS 2024
From Coarse to Fine-Grained Open-Set Recognition
CVPR 2024
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps
CVPR 2024
INQUIRE: A Natural World Text-to-Image Retrieval Benchmark
NeurIPS 2024
Labeled Data Selection for Category Discovery
ECCV 2024
SAOR: Single-View Articulated Object Reconstruction
CVPR 2024
Active Learning-Based Species Range Estimation
NeurIPS 2023
Heightfields for Efficient Scene Reconstruction for AR
WACV 2023
Incremental Generalized Category Discovery
ICCV 2023
Spatial Implicit Neural Representations for Global-Scale Species Mapping
ICML 2023
Virtual Occlusions Through Implicit Depth
CVPR 2023
Demystifying Unsupervised Semantic Correspondence Estimation
ECCV 2022
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
ECCV 2022
On Label Granularity and Object Localization
ECCV 2022
Visual Knowledge Tracing
ECCV 2022
When Does Contrastive Visual Representation Learning Work?
CVPR 2022
Benchmarking Representation Learning for Natural World Image Collections
CVPR 2021
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
ICCV 2021
Multi-Label Learning From Single Positive Labels
CVPR 2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
CVPR 2021
ViewNet: Unsupervised Viewpoint Estimation From Conditional Generation
ICCV 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
NeurIPS 2019
Context Embedding Networks
CVPR 2018
Near-Optimal Machine Teaching via Explanatory Teaching Sets
AISTATS 2018
Teaching Categories to Human Learners With Visual Explanations
CVPR 2018
The INaturalist Species Classification and Detection Dataset
CVPR 2018
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
NeurIPS 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