activity
20172022
most citedThe 2017 Hands in the Million Challenge on 3D Hand Pose Estimation

49 citations · 66 across the 6 of their papers we have counts for

collaborators

11 papers

cs.CV20222 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.CV202010 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

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

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

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…