5 papers
BBoxMaskPose v2: Expanding Mutual Conditioning to 3D
Miroslav Purkrabek, Constantin Kolomiiets, Jiri Matas
Most 2D human pose estimation benchmarks are nearly saturated, with the exception of crowded scenes. We introduce PMPose, a top-down 2D pose estimator that incorporates the probabi…
SAM-pose2seg: Pose-Guided Human Instance Segmentation in Crowds
Constantin Kolomiiets, Miroslav Purkrabek, Jiri Matas
Segment Anything (SAM) provides an unprecedented foundation for human segmentation, but may struggle under occlusion, where keypoints may be partially or fully invisible. We adapt…
Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle
Miroslav Purkrabek, Jiri Matas
Human pose estimation methods work well on isolated people but struggle with multiple-bodies-in-proximity scenarios. Previous work has addressed this problem by conditioning pose e…
Human Pose-Constrained UV Map Estimation
Matej Suchanek, Miroslav Purkrabek, Jiri Matas
UV map estimation is used in computer vision for detailed analysis of human posture or activity. Previous methods assign pixels to body model vertices by comparing pixel descriptor…
ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
Miroslav Purkrabek, Jiri Matas
Current Human Pose Estimation methods have achieved significant improvements. However, state-of-the-art models ignore out-of-image keypoints and use uncalibrated heatmaps as keypoi…