Eduard Trulls

Orcid: 0000-0002-1425-7881

According to our database1, Eduard Trulls authored at least 25 papers between 2009 and 2023.

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Bibliography

2023
PointNeRF++: A multi-scale, point-based Neural Radiance Field.
CoRR, 2023

SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GECCO: Geometrically-Conditioned Point Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
TUSK: Task-Agnostic Unsupervised Keypoints.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Image Matching Across Wide Baselines: From Paper to Practice.
Int. J. Comput. Vis., 2021

COTR: Correspondence Transformer for Matching Across Images.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
DISK: Learning local features with policy gradient.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Attentive Context Normalization for Robust Permutation-Equivariant Learning.
CoRR, 2019

Linearized Multi-Sampling for Differentiable Image Transformation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Beyond Cartesian Representations for Local Descriptors.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
LF-Net: Learning Local Features from Images.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Find Good Correspondences.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016
LIFT: Learned Invariant Feature Transform.
Proceedings of the Computer Vision - ECCV 2016, 2016

Learning to Match Aerial Images with Deep Attentive Architectures.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Enhancing low-level features with mid-level cues.
PhD thesis, 2015

Discriminative Learning of Deep Convolutional Feature Point Descriptors.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Fracking Deep Convolutional Image Descriptors.
CoRR, 2014

Segmentation-Aware Deformable Part Models.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Dense Segmentation-Aware Descriptors.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Spatiotemporal Descriptor for Wide-Baseline Stereo Reconstruction of Non-rigid and Ambiguous Scenes.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Autonomous navigation for mobile service robots in urban pedestrian environments.
J. Field Robotics, 2011

2010
Efficient Use of 3D Environment Models for Mobile Robot Simulation and Localization.
Proceedings of the Simulation, Modeling, and Programming for Autonomous Robots, 2010

Autonomous navigation for urban service mobile robots.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009
3D mapping for urban service robots.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009


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