Oisin Mac Aodha

Chris Xiaoxuan Lu

CoRR, 2024

AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps.

[BibT_eX]

[DOI]

Octave Mariotti

Hakan Bilen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

From Coarse to Fine-Grained Open-Set Recognition.

[BibT_eX]

[DOI]

Nico Lang

Vésteinn Snæbjarnarson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing 2D Representation Learning with a 3D Prior.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SAOR: Single-View Articulated Object Reconstruction.

[BibT_eX]

[DOI]

Mehmet Aygün

Santiago Martinez Balvanera

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Nikolaos Tsagkas

Chris Xiaoxuan Lu

CoRR, 2023

Self-Supervised Multimodal Learning: A Survey.

[BibT_eX]

[DOI]

Yongshuo Zong

Timothy M. Hospedales

CoRR, 2023

Heightfields for Efficient Scene Reconstruction for AR.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Active Learning-Based Species Range Estimation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Incremental Generalized Category Discovery.

[BibT_eX]

[DOI]

Bingchen Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Virtual Occlusions Through Implicit Depth.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Fine-Grained Image Analysis With Deep Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Visual Knowledge Tracing.

[BibT_eX]

[DOI]

Neehar Kondapaneni

Proceedings of the Computer Vision - ECCV 2022, 2022

Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

On Label Granularity and Object Localization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Demystifying Unsupervised Semantic Correspondence Estimation.

[BibT_eX]

[DOI]

Mehmet Aygün

Proceedings of the Computer Vision - ECCV 2022, 2022

When Does Contrastive Visual Representation Learning Work?

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields.

[BibT_eX]

[DOI]

Octave Mariotti

Hakan Bilen

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation.

[BibT_eX]

[DOI]

Octave Mariotti

Hakan Bilen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Benchmarking Representation Learning for Natural World Image Collections.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-Label Learning From Single Positive Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Geocoding of trees from street addresses and street-level images.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Stereo from Single Images.

[BibT_eX]

[DOI]

Jamie Watson

Daniyar Turmukhambetov

Michael Firman

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

The iWildCam 2018 Challenge Dataset.

[BibT_eX]

[DOI]

CoRR, 2019

Teaching Multiple Concepts to a Forgetful Learner.

[BibT_eX]

[DOI]

Anette Hunziker

Yuxin Chen

Manuel Gomez Rodriguez

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.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Presence-Only Geographical Priors for Fine-Grained Image Classification.

[BibT_eX]

[DOI]

Elijah Cole

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Bat detective - Deep learning tools for bat acoustic signal detection.

[BibT_eX]

[DOI]

Abigel Szodoray-Paradi

Farkas Szodoray-Paradi

PLoS Comput. Biol., 2018

Digging Into Self-Supervised Monocular Depth Estimation.

[BibT_eX]

[DOI]

Clément Godard

CoRR, 2018

Teaching Multiple Concepts to Forgetful Learners.

[BibT_eX]

[DOI]

Anette Hunziker

Yuxin Chen

Manuel Gomez-Rodriguez

CoRR, 2018

Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Context Embedding Networks.

[BibT_eX]

[DOI]

Kun Ho Kim

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

The INaturalist Species Classification and Detection Dataset.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Teaching Categories to Human Learners With Visual Explanations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Matteo Ruggero Ronchi

Robert Eng

Proceedings of the British Machine Vision Conference 2018, 2018

Near-Optimal Machine Teaching via Explanatory Teaching Sets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

The iNaturalist Challenge 2017 Dataset.

[BibT_eX]

[DOI]

CoRR, 2017

Unsupervised Monocular Depth Estimation with Left-Right Consistency.

[BibT_eX]

[DOI]

Clément Godard

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

My Text in Your Handwriting.

[BibT_eX]

[DOI]

Tom S. F. Haines

ACM Trans. Graph., 2016

Structured Prediction of Unobserved Voxels from a Single Depth Image.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Becoming the expert - interactive multi-class machine teaching.

[BibT_eX]

[DOI]

Edward Johns

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Supervised algorithm selection for flow and other computer vision problems.

[BibT_eX]

[DOI]

PhD thesis, 2014

Putting the Scientist in the Loop - Accelerating Scientific Progress with Interactive Machine Learning.

[BibT_eX]

[DOI]

Vassilios Stathopoulos

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Hierarchical Subquery Evaluation for Active Learning on a Graph.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Learning a Confidence Measure for Optical Flow.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Patch Based Synthesis for Single Depth Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Learning to find occlusion regions.

[BibT_eX]

[DOI]

Ahmad Humayun

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Segmenting video into classes of algorithm-suitability.

[BibT_eX]

[DOI]

Marc Pollefeys

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Evolving plastic responses in artificial cell models.

[BibT_eX]

[DOI]

John Maher

Fearghal Morgan