2 citations · 2 across the 1 of their papers we have counts for
4 papers
HO-3D_v3: Improving the Accuracy of Hand-Object Annotations of the HO-3D Dataset
Shreyas Hampali, Sayan Deb Sarkar, Vincent Lepetit
HO-3D is a dataset providing image sequences of various hand-object interaction scenarios annotated with the 3D pose of the hand and the object and was originally introduced as HO-…
Monte Carlo Scene Search for 3D Scene Understanding
Shreyas Hampali, Sinisa Stekovic, Sayan Deb Sarkar +3
We explore how a general AI algorithm can be used for 3D scene understanding to reduce the need for training data. More exactly, we propose a modification of the Monte Carlo Tree S…
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…
HOnnotate: A method for 3D Annotation of Hand and Object Poses
Shreyas Hampali, Mahdi Rad, Markus Oberweger +1
We propose a method for annotating images of a hand manipulating an object with the 3D poses of both the hand and the object, together with a dataset created using this method. Our…