Dylan Campbell

Orcid: 0000-0002-4717-6850

According to our database1, Dylan Campbell authored at least 42 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Empirical Study Into What Matters for Calibrating Vision-Language Models.
CoRR, 2024

SCENES: Subpixel Correspondence Estimation With Epipolar Supervision.
CoRR, 2024

Ray Deformation Networks for Novel View Synthesis of Refractive Objects.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Probabilistic and semantic descriptions of image manifolds and their applications.
Frontiers Comput. Sci., 2023

Detecting and Restoring Non-Standard Hands in Stable Diffusion Generated Images.
CoRR, 2023

IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models.
CoRR, 2023

Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review.
CoRR, 2023

Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications.
CoRR, 2023

Rethinking Polyp Segmentation from an Out-of-Distribution Perspective.
CoRR, 2023

Exploring Predicate Visual Context in Detecting of Human-Object Interactions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LoCUS: Learning Multiscale 3D-consistent Features from Posed Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Geometry-Guided Street-View Panorama Synthesis From Satellite Imagery.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep Declarative Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Zero-Shot Learning on 3D Point Cloud Objects and Beyond.
Int. J. Comput. Vis., 2022

A 23 MW data centre is all you need.
CoRR, 2022

Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies.
CoRR, 2022

SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data.
Proceedings of the Computer Vision - ECCV 2022, 2022

Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Spatially Conditioned Graphs for Detecting Human-Object Interactions.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning to Estimate Hidden Motions with Global Motion Aggregation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Globally-Optimal Inlier Set Maximisation for Camera Pose and Correspondence Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Spatio-attentive Graphs for Human-Object Interaction Detection.
CoRR, 2020

Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem.
CoRR, 2020

Transductive Zero-Shot Learning for 3D Point Cloud Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Deep Novel View Synthesis from Colored 3D Point Clouds.
Proceedings of the Computer Vision - ECCV 2020, 2020

Solving the Blind Perspective-n-Point Problem End-to-End with Robust Differentiable Geometric Optimization.
Proceedings of the Computer Vision - ECCV 2020, 2020

Where Am I Looking At? Joint Location and Orientation Estimation by Cross-View Matching.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Inferring Temporal Compositions of Actions Using Probabilistic Automata.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level optimization.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Deep Declarative Networks: A New Hope.
CoRR, 2019

The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2017
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

GOGMA: Globally-Optimal Gaussian Mixture Alignment.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Metric-based detection of robot kidnapping with an SVM classifier.
Robotics Auton. Syst., 2015

An Adaptive Data Representation for Robust Point-Set Registration and Merging.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2013
Metric-based detection of robot kidnapping.
Proceedings of the 2013 European Conference on Mobile Robots, 2013

2012
Mobile 3D indoor mapping using the Continuous Normal Distributions Transform.
Proceedings of the 2012 International Conference on Indoor Positioning and Indoor Navigation, 2012


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