activity
20162022
most citedThe 2017 Hands in the Million Challenge on 3D Hand Pose Estimation

49 citations · 112 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CV2022

Removing Objects From Neural Radiance Fields

Silvan Weder, Guillermo Garcia-Hernando, Aron Monszpart +4

Neural Radiance Fields (NeRFs) are emerging as a ubiquitous scene representation that allows for novel view synthesis. Increasingly, NeRFs will be shareable with other people. Befo…

cs.CV2022★ 2 cited

Map-free Visual Relocalization: Metric Pose Relative to a Single Image

Eduardo Arnold, Jamie Wynn, Sara Vicente +5

Can we relocalize in a scene represented by a single reference image? Standard visual relocalization requires hundreds of images and scale calibration to build a scene-specific 3D…

cs.CV2020

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

Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov +2

To what extent are two images picturing the same 3D surfaces? Even when this is a known scene, the answer typically requires an expensive search across scale space, with matching a…

cs.CV2020★ 10 cited

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

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

Dexterous manipulation of objects in virtual environments with our bare hands, by using only a depth sensor and a state-of-the-art 3D hand pose estimator (HPE), is challenging. Whi…

cs.CV2020★ 6 cited

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 +32

We study how well different types of approaches generalise in the task of 3D hand pose estimation under single hand scenarios and hand-object interaction. We show that the accuracy…

cs.CV2020★ 1 cited

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

Juil Sock, Guillermo Garcia-Hernando, Anil Armagan +1

Most successful approaches to estimate the 6D pose of an object typically train a neural network by supervising the learning with annotated poses in real world images. These annota…

cs.CV2020★ 4 cited

A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators

Caner Sahin, Guillermo Garcia-Hernando, Juil Sock +1

Object pose recovery has gained increasing attention in the computer vision field as it has become an important problem in rapidly evolving technological areas related to autonomou…

cs.CV2019★ 5 cited

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

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

In this work, we explore how a strategic selection of camera movements can facilitate the task of 6D multi-object pose estimation in cluttered scenarios while respecting real-world…

cs.CV2019

Instance- and Category-level 6D Object Pose Estimation

Caner Sahin, Guillermo Garcia-Hernando, Juil Sock +1

6D object pose estimation is an important task that determines the 3D position and 3D rotation of an object in camera-centred coordinates. By utilizing such a task, one can propose…

cs.CV2018

HANDS18: Methods, Techniques and Applications for Hand Observation

Iason Oikonomidis, Guillermo Garcia-Hernando, Angela Yao +3

This report outlines the proceedings of the Fourth International Workshop on Observing and Understanding Hands in Action (HANDS 2018). The fourth instantiation of this workshop att…

cs.CV2018★ 6 cited

Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation

Dafni Antotsiou, Guillermo Garcia-Hernando, Tae-Kyun Kim

Human hand actions are quite complex, especially when they involve object manipulation, mainly due to the high dimensionality of the hand and the vast action space that entails. Im…

cs.CV2017★ 6 cited

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

Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger +21

In this paper, we strive to answer two questions: What is the current state of 3D hand pose estimation from depth images? And, what are the next challenges that need to be tackled?…

cs.CV2017★ 49 cited

The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation

Shanxin Yuan, Qi Ye, Guillermo Garcia-Hernando +1

We present the 2017 Hands in the Million Challenge, a public competition designed for the evaluation of the task of 3D hand pose estimation. The goal of this challenge is to assess…

cs.CV2017★ 18 cited

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

Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek +1

In this work we study the use of 3D hand poses to recognize first-person dynamic hand actions interacting with 3D objects. Towards this goal, we collected RGB-D video sequences com…

cs.CV2016★ 5 cited

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

Guillermo Garcia-Hernando, Tae-Kyun Kim

A human action can be seen as transitions between one's body poses over time, where the transition depicts a temporal relation between two poses. Recognizing actions thus involves…