Search Results for author:
Found 5 papers, 1 papers with code
STRIDE: Single-video based Temporally Continuous Occlusion Robust 3D Pose Estimation
This challenge arises because these models struggle to generalize beyond their training datasets, and the variety of occlusions is hard to capture in the training data.
Active Learning Guided Federated Online Adaptation: Applications in Medical Image Segmentation
Motivated by these, we propose a method for medical image segmentation that adapts to each incoming data batch (online adaptation), incorporates physician feedback through active learning, and assimilates knowledge across facilities in a federated setup.
POISE: Pose Guided Human Silhouette Extraction under Occlusions
Human silhouette extraction is a fundamental task in computer vision with applications in various downstream tasks.
Learning Deformable 3D Graph Similarity to Track Plant Cells in Unregistered Time Lapse Images
Tracking of plant cells in images obtained by microscope is a challenging problem due to biological phenomena such as large number of cells, non-uniform growth of different layers of the tightly packed plant cells and cell division.
Prior-guided Source-free Domain Adaptation for Human Pose Estimation
To address this limitation, we focus on the task of source-free domain adaptation for pose estimation, where a source model must adapt to a new target domain using only unlabeled target data.
