Eduard Trulls
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I am a Research Scientist at Google Zurich, working on Machine Learning for visual recognition. Before that I was a post-doc at the Computer Vision Lab at EPFL in Lausanne, Switzerland, working with Pascal Fua. I obtained my PhD from the Institute of Robotics in Barcelona, Spain, co-advised by Francesc Moreno and Alberto Sanfeliu. Before my PhD I worked in mobile robotics.

News

  • January 2025: Announcing the 2025 Image Matching Workshop, to be held at CVPR'25 (7th edition!).
  • November 2024: Serving as Area Chair for CVPR'25.
  • July 2024: PointNeRF++ accepted to ECCV.
  • December 2023: Received outstanding reviewer award for NeurIPS'23 (3/3 this year).

Publications

Note: The top computer vision conferences (CVPR, ICCV, ECCV) are highly competitive, with low acceptance rates: 25%. You might be interested in the Google Scholar Metrics.

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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
In arXiv, 2023
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SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding
Paul-Edouard Sarlin, Eduard Trulls, Marc Pollefeys, Jan Hosang, Simon Lynen
In NeurIPS, 2023
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GECCO: Geometrically-Conditioned Point Diffusion Models
Michał J. Tyszkiewicz, Pascal Fua, Eduard Trulls
In ICCV, 2023
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TUSK: Task-Agnostic Unsupervised Keypoints
Yuhe Jin, Weiwei Sun, Jan Hosang, Eduard Trulls, Kwang Moo Yi
In NeurIPS, 2022
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COTR: Correspondence Transformer for Matching Across Images
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi
In ICCV, 2021 (oral)
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DISK: Learning local features with policy gradient
Michał J. Tyszkiewicz, Pascal Fua, Eduard Trulls
NeurIPS, 2020 (spotlight oral)
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Image Matching across Wide Baselines: from Paper to Practice
Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuck, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls
IJCV, 2020
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Attentive Context Normalization for Robust Permutation-Equivariant Learning
Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi
In CVPR, 2020
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Beyond Cartesian Representations for Local Descriptors
Patrick Ebel, Anastasiia Mishchuk, Kwang Moo Yi, Pascal Fua, Eduard Trulls
In ICCV, 2019
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Linearized Multi-Sampling for Differentiable Image Transformation
Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi
In ICCV, 2019 (oral)
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LF-Net: Learning Local Features from Images
Yuki Ono, Eduard Trulls, Pascal Fua, Kwang Moo Yi
NeurIPS, 2018
code / poster
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Learning to Find Good Correspondences
Kwang Moo Yi(*), Eduard Trulls(*), Yuki Ono, Mathieu Salzmann, Vincent Lepetit, Pascal Fua (*: equal contribution)
Computer Vision and Pattern Recognition (CVPR), 2018 (oral presentation: 2.1% acceptance rate)
code / poster / slides
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LIFT: Learned Invariant Feature Transform
Kwang Moo Yi(*), Eduard Trulls(*), Vincent Lepetit, Pascal Fua (*: equal contribution)
European Conference on Computer Vision (ECCV), 2016
code (tf) / code (theano, deprecated) / poster / video / supplemental
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Learning to Match Aerial Images with Deep Attentive Architectures
Hani Altwaijry, Eduard Trulls, James Hays, Pascal Fua, Serge Belongie
Conference on Computer Vision and Pattern Recognition (CVPR), 2016
poster
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Dense Segmentation-aware Descriptors
Eduard Trulls, Iasonas Kokkinos, Alberto Sanfeliu and Francesc Moreno-Noguer
Chapter in Dense Image Correspondences for Computer Vision, Eds. C. Liu and T. Hassner, Springer, 2015
link
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Discriminative Learning of Deep Convolutional Feature Point Descriptors
Edgar Simo-Serra(*), Eduard Trulls(*), Luis Ferraz, Iasonas Kokkinos, Pascal Fua and Francesc Moreno-Noguer (*: equal contribution)
International Conference on Computer Vision (ICCV), 2015
code / poster / supplemental / spotlight
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Enhancing low-level features with mid-level cues
Eduard Trulls
PhD thesis, 2015
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Segmentation-aware Deformable Part Models
Eduard Trulls, Stavros Tsogkas, Iasonas Kokkinos, Alberto Sanfeliu, Francesc Moreno-Noguer
Conference on Computer Vision and Pattern Recognition (CVPR), 2014
poster / spotlight
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Dense segmentation-aware descriptors
Eduard Trulls, Iasonas Kokkinos, Alberto Sanfeliu, Francesc Moreno-Noguer
Conference on Computer Vision and Pattern Recognition (CVPR), 2013
code / poster / spotlight
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Spatiotemporal descriptor for wide-baseline stereo reconstruction of non-rigid and ambiguous scenes
Eduard Trulls, Alberto Sanfeliu, Francesc Moreno-Noguer
European Conference on Computer Vision (ECCV), 2012
poster / spotlight
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Autonomous navigation for mobile service robots in urban pedestrian environments
Eduar Trulls, Andreu Corominas Murtra, Joan Pérez-Ibarz, Gonzalo Ferrer, Dizan Vasquez, Josep Maria Mirats-Tur, Alberto Sanfeliu
Journal of Field Robotics, 2011
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Efficient use of 3D environment models for mobile robot simulation and localization
Andreu Corominas Murtra, Eduard Trulls, Josep Maria Mirats-Tur, Alberto Sanfeliu
International Conference on Simulation, Modelling, and Programming for Autonomous Robots (SIMPAR), 2010. Also in Simulation, Modelling, and Programming for Autonomous Robots, Lecture Notes in Computer Science, 2010.
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Autonomous navigation for urban service mobile robots
Andreu Corominas Murtra, Eduard Trulls, Oscar Sandoval, Joan Perez, Dizan Vasquez, Josep Maria Mirats-Tur, Miquel Ferrer, Alberto Sanfeliu
International Conference on Intelligent Robots and Systems (IROS), 2010
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3D Mapping for Urban Service Robots
Rafael Valencia-Carreño, Ernesto Teniente, Eduar Trulls, Juan Andrade-Cetto
International Conference on Intelligent Robots and Systems (IROS), 2009
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Combination of Distributed Camera Network and Laser-based 3D Mapping for Urban Service Robotics
Juan Andrade-Cetto, Agustín Ortega, Ernesto Teniente, Eduard Trulls, Rafael Valencia, Alberto Sanfeliu
Workshop on Network Robot Systems, International Conference on Intelligent Robots and Systems (IROS), 2009