Learning Human Dynamics in Autonomous Driving Scenarios-Reference-Cited by-同舟云学术

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Learning Human Dynamics in Autonomous Driving Scenarios

Published:2023-10-01 Issue: Volume: Page:20739-20749
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Wang Jingbo¹,Yuan Ye¹,Luo Zhengyi¹,Xie Kevin¹,Lin Dahua²,Iqbal Umar¹,Fidler Sanja¹,Khamis Sameh¹

Affiliation:

1. NVIDIA

2. The Chinese University of Hong Kong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378107.pdf?arnumber=10378107

Reference73 articles.

1. SCAPE

2. Exploiting Temporal Context for 3D Human Pose Estimation in the Wild

3. GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving

4. Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video

5. Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AFTEA Framework for Supporting Dynamic Autonomous Driving Situation;Electronics;2024-09-06

2. Deep learning for 3D human pose estimation and mesh recovery: A survey;Neurocomputing;2024-09

3. Towards Unstructured Unlabeled Optical Mocap: A Video Helps!;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

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