409 citations · 445 across the 5 of their papers we have counts for
7 papers
Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video
Erik Gärtner, Mykhaylo Andriluka, Hongyi Xu +1
We focus on the task of estimating a physically plausible articulated human motion from monocular video. Existing approaches that do not consider physics often produce temporally i…
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction
Erik Gärtner, Mykhaylo Andriluka, Erwin Coumans +1
We introduce DiffPhy, a differentiable physics-based model for articulated 3d human motion reconstruction from video. Applications of physics-based reasoning in human motion analys…
Efficient Full Image Interactive Segmentation by Leveraging Within-image Appearance Similarity
Mykhaylo Andriluka, Stefano Pellegrini, Stefan Popov +1
We propose a new approach to interactive full-image semantic segmentation which enables quickly collecting training data for new datasets with previously unseen semantic classes (A…
Panoptic Image Annotation with a Collaborative Assistant
Jasper R. R. Uijlings, Mykhaylo Andriluka, Vittorio Ferrari
This paper aims to reduce the time to annotate images for panoptic segmentation, which requires annotating segmentation masks and class labels for all object instances and stuff re…
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation
Mykhaylo Andriluka, Jasper R. R. Uijlings, Vittorio Ferrari
We introduce Fluid Annotation, an intuitive human-machine collaboration interface for annotating the class label and outline of every object and background region in an image. Flui…
End-to-end people detection in crowded scenes
Russell Stewart, Mykhaylo Andriluka
Current people detectors operate either by scanning an image in a sliding window fashion or by classifying a discrete set of proposals. We propose a model that is based on decoding…