Guillermo Garcia-Hernando Research Scientist at Niantic, Inc.

About

I'm a researcher at Niantic's AR Research team led by Gabriel Brostow and based in London, UK. Previously, I spent a couple of years as a postdoc at Imperial College London in collaboration with Samsung Research. I completed my Ph.D. in computer vision and machine learning in 2017 supervised by Tae-Kyun Kim also at Imperial. In a previous life, I was in Paris (MSc./Diplôme d'Ingénieur at Télécom Paris) and in Barcelona (BSc. at Technical University of Catalonia - UPC).

I particularly enjoy teaching, supervising students and disseminating research to audiences of different backgrounds and ages. I've been involved in the organization of academic events such as BMVC 2017, different workshops at CVPR, ICCV and ECCV conferences and also had the chance of teaching at the Nepal Winter School in AI 2018.

Selected publications

  • HandDGP: Camera-Space Hand Mesh Prediction with Differentiable Global Positioning

    Eugene Valassakis and Guillermo Garcia-Hernando

    ECCV 2024

    Paper Project

  • DoubleTake: Geometry Guided Depth Estimation

    Mohamed Sayed, Filippo Aleotti, Jamie Watson, Zawar Qureshi, Guillermo Garcia-Hernando, Gabriel Brostow, Sara Vicente, Michael Firman

    ECCV 2024

    Paper Project

  • Removing objects from neural radiance fields

    Silvan Weder, Guillermo Garcia-Hernando, Aron Monszpart, Marc Pollefeys, Gabriel J Brostow, Michael Firman, Sara Vicente

    CVPR 2023

    Paper Project Dataset

  • Map-free visual relocalization: Metric pose relative to a single image

    Eduardo Arnold, Jamie Wynn, Sara Vicente, Guillermo Garcia-Hernando, Aron Monszpart, Victor Prisacariu, Daniyar Turmukhambetov, Eric Brachmann

    ECCV 2022

    Paper Project Dataset

  • Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings

    Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow and Daniyar Turmukhambetov.

    ECCV 2020 (spotlight)

    Paper Project

  • Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction

    Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Vincent Lepetit, Tae-Kyun Kim et al.

    ECCV 2020

    Paper Project Dataset

  • Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images

    Juil Sock, Guillermo Garcia-Hernando, Anil Armagan and Tae-Kyun Kim

    3DV 2020 (oral)

    Paper

  • Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning

    Guillermo Garcia-Hernando, Edward Johns and Tae-Kyun Kim.

    IROS 2020

    Paper Project

  • Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning

    Juil Sock, Guillermo Garcia-Hernando and Tae-Kyun Kim.

    IROS 2020

    Paper

  • First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations

    Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek and Tae-Kyun Kim.

    CVPR 2018

    Paper Project Dataset

  • Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals

    Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger, Tae-Kyun Kim et al.

    CVPR 2018 (spotlight)

    Paper Project

  • Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection

    Guillermo Garcia-Hernando and Tae-Kyun Kim.

    CVPR 2017

    Paper