Semantics Guided Neural Networks for Efficient Skeleton Based Human Action Recognition

Subscribers:
344,000
Published on ● Video Link: https://www.youtube.com/watch?v=tLNb9oH5NBw



Duration: 1:01
542 views
3


Learn all the ways Microsoft is a part of CVPR 2020: https://www.microsoft.com/en-us/research/event/cvpr-2020/




Other Videos By Microsoft Research


2020-06-17Game of Drones Demo
2020-06-15ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification
2020-06-15Face Synthetics
2020-06-15VizWiz Grand Challenge Workshop at CVPR 2020 - Speaker Panel
2020-06-14Style Normalization and Restitution for Generalizable Person Re identification
2020-06-14Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation
2020-06-14Deep 3D Portrait from a Single Image
2020-06-14Towards Efficient Model Compression via Learned Global Ranking
2020-06-14Face X ray for More General Face Forgery Detection
2020-06-14A Transductive Approach for Video Object Segmentation
2020-06-14Semantics Guided Neural Networks for Efficient Skeleton Based Human Action Recognition
2020-06-14ReDA: Reinforced Differentiable Attribute for 3D Face Reconstruction
2020-06-14SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions
2020-06-14Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach
2020-06-14Rethinking Classification and Localization for Object Detection
2020-06-14PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames
2020-06-14A Physics based Noise Formation Model for Extreme Low light Raw Denoising
2020-06-14gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors
2020-06-14Weakly Supervised Action Localization by Generative Attention Modeling
2020-06-14Tracking by Instance Detection: A Meta-Learning Approach
2020-06-14Single Image Reflection Removal through Cascaded Refinement



Tags:
computer vision
CVPR 2020
Microsoft Research