arXiv Computer Vision
Surgical Kinematics from Monocular Video with Learned Articulated Motion Constraints
Read the original on arXiv Computer Vision →The Flow has not summarised this story yet — read it at arXiv Computer Vision.
Related stories
Hugging Face Trending Papers
Sep 23
Surgical Kinematics from Monocular Video with Learned Articulated Motion Constraints
Objective assessment of robotic surgery uses instrument kinematics, which must be reconstructed when only video is available. We introduce a kinematic reconstruction network for estimating instrument...
arXiv Computer Vision
3d ago
PICO: Projection-Informed Consistency Optimisation for 6DoF Surgical Tool Pose Estimation
The paper introduces PICO, an end-to-end trainable model for 6DoF surgical tool pose estimation that uses multi-task learning to predict segmentation, depth, and pose parameters. It incorporates two geometry-aware proxy tasks—a projection loss and a point-to-point loss—to enforce consistency in 2D and 3D spaces, improving accuracy and robustness. Evaluated on the SurgRIPE dataset, PICO achieves strong performance, ranking second in rotation accuracy and maintaining competitive translation results, especially under occlusion.
arXiv Computer Vision
Sep 15
MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons
arXiv:2604.28130v4 Announce Type: replace Abstract: Recent methods for arbitrary-skeleton motion capture from monocular video follow a factorized pipeline, where a Video-to-Pose network predicts join...
arXiv Computer Vision
Sep 22
STA-TFM: Spatio-Temporal Aggregation Across Views TransForMer for Pose Estimation
arXiv:2609.24482v1 Announce Type: new Abstract: Monocular 3D human pose estimation (HPE) remains challenging due to depth ambiguity, occlu- sions, and the need for temporal consistency. While multi-v...
arXiv Computer Vision
Aug 25
From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation
arXiv:2605.08712v2 Announce Type: replace Abstract: Action-conditioned surgical video generation is a critical yet highly challenging problem for robotic surgery. The core difficulty is that low-dime...
arXiv AI
Jul 10
Pose-to-Biomechanics: Bridging 3D Human Pose Estimation and Biomechanical Attribute Prediction
arXiv:2607. 08725v1 Announce Type: cross Abstract: Recent progress in 3D human pose estimation has made markerless recovery of skeletal motion increasingly accurate and scalable.