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Human - GitHub Pages Creating a Human Pose Estimation Application with NVIDIA DeepStream Human Brown Adipose Tissue Depots Automatically Segmented by Positron ... First, it encodes a 3D human body model, which enables mmMesh to estimate complex and realistic-looking 3D human meshes from sparse point clouds. . Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer Hao-Shu Fang, Guansong Lu, Xiaolin Fang, . But in their work, Mask R-CNN [14] with mask-only performs better than com-bining keypoints and masks in the instance segmentation task. Huy Hieu Pham. An interesting application of pose estimation is for tracking the motion of human subjects for interactive gaming. Our paper entitled "HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation" is now available on arXiv. An Overview of Human Pose Estimation with Deep Learning We propose DensePose-RCNN, a variant of Mask-RCNN, to densely regress part-specific UV . Apr 2021. In brain MRI analysis, image segmentation is commonly used for measuring and visualizing the brain's anatomical structures, for analyzing brain changes, for delineating pathological regions, and for surgical planning and image . Abstract. I used 2 models for training: Unet with MobileNetV2 as a backbone and DeepLabV3p with MobileNetV2 as a backbone. GitHub - Maninae/segmentation-191: Human body segmentation project for CS 191, Senior research project. Put youself inside beautiful natural scenes by changing the background of a selfie in real-time. . Manster's Homepage GitHub - Maninae/segmentation-191: Human body segmentation project for ...