Recent hand-object interaction datasets show limited real object variabi...
Automatically producing instructions to modify one's posture could open ...
Scene coordinates regression (SCR), i.e., predicting 3D coordinates for ...
Despite impressive performance for high-level downstream tasks,
self-sup...
Robots with multi-fingered grippers could perform advanced manipulation ...
Natural language is leveraged in many computer vision tasks such as imag...
Masked Image Modeling (MIM) has recently been established as a potent
pr...
We address the problem of action-conditioned generation of human motion
...
Training state-of-the-art models for human pose estimation in videos req...
Visual localization, i.e., camera pose estimation in a known scene, is a...
Methods that combine local and global features have recently shown excel...
This paper tackles the problem of semi-supervised learning when the set ...
Training state-of-the-art models for human body pose and shape recovery ...
Estimating the precise location of a camera using visual localization en...
While there exists a large number of methods for manipulating rigid obje...
Predicting 3D human pose from images has seen great recent improvements....
Contrastive learning has become a key component of self-supervised learn...
We introduce DOPE, the first method to detect and estimate whole-body 3D...
In this work, we study how well different type of approaches generalise ...
Recent methods for video action recognition have reached outstanding
per...
Interest point detection and local feature description are fundamental s...
Interest point detection and local feature description are fundamental s...
We propose an end-to-end architecture for joint 2D and 3D human pose
est...
Current state-of-the-art approaches for spatio-temporal action localizat...
We introduce a novel matching algorithm, called DeepMatching, to compute...
We propose an effective approach for spatio-temporal action localization...
We propose a novel approach for optical flow estimation , targeted at la...