activity
20222025
most citedMixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video

13 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

EMO-X: Efficient Multi-Person Pose and Shape Estimation in One-Stage

Haohang Jian, Jinlu Zhang, Junyi Wu +1

Expressive Human Pose and Shape Estimation (EHPS) aims to jointly estimate human pose, hand gesture, and facial expression from monocular images. Existing methods predominantly rel…

cs.CV2025

OwlSight: A Robust Illumination Adaptation Framework for Dark Video Human Action Recognition

Shihao Cheng, Jinlu Zhang, Yue Liu +1

Human action recognition in low-light environments is crucial for various real-world applications. However, the existing approaches overlook the full utilization of brightness info…

cs.CV2024★ 1 cited

Expressive Keypoints for Skeleton-based Action Recognition via Skeleton Transformation

Yijie Yang, Jinlu Zhang, Jiaxu Zhang +1

In the realm of skeleton-based action recognition, the traditional methods which rely on coarse body keypoints fall short of capturing subtle human actions. In this work, we propos…

cs.CV2023

PHRIT: Parametric Hand Representation with Implicit Template

Zhisheng Huang, Yujin Chen, Di Kang +2

We propose PHRIT, a novel approach for parametric hand mesh modeling with an implicit template that combines the advantages of both parametric meshes and implicit representations.…

cs.CV2022★ 13 cited

MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video

Jinlu Zhang, Zhigang Tu, Jianyu Yang +2

Recent transformer-based solutions have been introduced to estimate 3D human pose from 2D keypoint sequence by considering body joints among all frames globally to learn spatio-tem…