Eduard Trulls

According to our database, Eduard Trulls authored at least 25 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PointNeRF++: A Multi-scale, Point-Based Neural Radiance Field.

Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding.

Paul-Edouard Sarlin, Eduard Trulls, Marc Pollefeys, Jan Hosang, Simon Lynen

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.

Michal J. Tyszkiewicz, Pascal Fua, Eduard Trulls

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

2022

TUSK: Task-Agnostic Unsupervised Keypoints.

Yuhe Jin, Weiwei Sun, Jan Hosang, Eduard Trulls, Kwang Moo Yi

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.

Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls

Int. J. Comput. Vis., 2021

COTR: Correspondence Transformer for Matching Across Images.

Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi

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

2020

DISK: Learning local features with policy gradient.

Michal J. Tyszkiewicz, Pascal Fua, Eduard Trulls

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.

Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Attentive Context Normalization for Robust Permutation-Equivariant Learning.

Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi

CoRR, 2019

Linearized Multi-Sampling for Differentiable Image Transformation.

Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi

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

Beyond Cartesian Representations for Local Descriptors.

Patrick Ebel, Eduard Trulls, Kwang Moo Yi, Pascal Fua, Anastasiia Mishchuk

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

2018

LF-Net: Learning Local Features from Images.

Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi

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

Learning to Find Good Correspondences.

Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua

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

2016

LIFT: Learned Invariant Feature Transform.

Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, Pascal Fua

Proceedings of the Computer Vision - ECCV 2016, 2016

Learning to Match Aerial Images with Deep Attentive Architectures.

Hani Altwaijry, Eduard Trulls, James Hays, Pascal Fua, Serge J. Belongie

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

2015

Enhancing low-level features with mid-level cues.

Eduard Trulls

PhD thesis, 2015

Discriminative Learning of Deep Convolutional Feature Point Descriptors.

Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Pascal Fua, Francesc Moreno-Noguer

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Fracking Deep Convolutional Image Descriptors.

Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Francesc Moreno-Noguer

CoRR, 2014

Segmentation-Aware Deformable Part Models.

Eduard Trulls, Stavros Tsogkas, Iasonas Kokkinos, Alberto Sanfeliu, Francesc Moreno-Noguer

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

2013

Dense Segmentation-Aware Descriptors.

Eduard Trulls, Iasonas Kokkinos, Alberto Sanfeliu, Francesc Moreno-Noguer

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.

Eduard Trulls, Alberto Sanfeliu, Francesc Moreno-Noguer

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Autonomous navigation for mobile service robots in urban pedestrian environments.

Eduard Trulls, Andreu Corominas Murtra, Joan Pérez-Ibarz, Gonzalo Ferrer, Dizan Vasquez, Josep M. Mirats Tur, Alberto Sanfeliu

J. Field Robotics, 2011

2010

Efficient Use of 3D Environment Models for Mobile Robot Simulation and Localization.

Andreu Corominas Murtra, Eduard Trulls, Josep M. Mirats Tur, Alberto Sanfeliu

Proceedings of the Simulation, Modeling, and Programming for Autonomous Robots, 2010

Autonomous navigation for urban service mobile robots.

Andreu Corominas Murtra, Eduard Trulls, Oscar Sandoval Torres, Joan Pérez-Ibarz, Alejandro Dizan Vasquez Govea, Josep M. Mirats Tur, Miquel Ferrer, Alberto Sanfeliu

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009

3D mapping for urban service robots.

Rafael Valencia, Ernesto Homar Teniente Avilés, Eduard Trulls, Juan Andrade-Cetto

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009