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20142023
most citedProactive Multi-Camera Collaboration For 3D Human Pose Estimation

6 citations · 20 across the 11 of their papers we have counts for

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9 papers · 1 filter

cs.CV2023

HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining

Shixiang Tang, Cheng Chen, Qingsong Xie +9

Human-centric perceptions include a variety of vision tasks, which have widespread industrial applications, including surveillance, autonomous driving, and the metaverse. It is des…

cs.CV20236 cited

Proactive Multi-Camera Collaboration For 3D Human Pose Estimation

Hai Ci, Mickel Liu, Xuehai Pan +2

This paper presents a multi-agent reinforcement learning (MARL) scheme for proactive Multi-Camera Collaboration in 3D Human Pose Estimation in dynamic human crowds. Traditional fix…

cs.CV2023

Saliency Guided Contrastive Learning on Scene Images

Meilin Chen, Yizhou Wang, Shixiang Tang +6

Self-supervised learning holds promise in leveraging large numbers of unlabeled data. However, its success heavily relies on the highly-curated dataset, e.g., ImageNet, which still…

cs.CV20225 cited

Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection

Hang Ye, Wentao Zhu, Chunyu Wang +2

While the voxel-based methods have achieved promising results for multi-person 3D pose estimation from multi-cameras, they suffer from heavy computation burdens, especially for lar…

cs.CV20221 cited

VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data

Jiajun Su, Chunyu Wang, Xiaoxuan Ma +2

While monocular 3D pose estimation seems to have achieved very accurate results on the public datasets, their generalization ability is largely overlooked. In this work, we perform…

cs.CV20222 cited

Adaptive Trajectory Prediction via Transferable GNN

Yi Xu, Lichen Wang, Yizhou Wang +1

Pedestrian trajectory prediction is an essential component in a wide range of AI applications such as autonomous driving and robotics. Existing methods usually assume the training…