EventHPE: Event-based 3D Human Pose and Shape Estimation
Author:
Affiliation:
1. University of Alberta
2. Shandong University
3. Celepixel Technology
4. University of Guelph
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710646.pdf?arnumber=9710646
Reference36 articles.
1. EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras
2. On the Continuity of Rotation Representations in Neural Networks
3. Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video
4. A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image
5. SparseFusion: Dynamic Human Avatar Modeling From Sparse RGBD Images
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1. EvHandPose: Event-Based 3D Hand Pose Estimation With Sparse Supervision;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-09
2. EV-TIFNet: lightweight binocular fusion network assisted by event camera time information for 3D human pose estimation;Journal of Real-Time Image Processing;2024-08
3. Segmentation of Human Body Parts using Growing Neural Gas with Event Camera;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
4. Microsaccade-inspired event camera for robotics;Science Robotics;2024-05-29
5. A temporal densely connected recurrent network for event-based human pose estimation;Pattern Recognition;2024-03
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