1 code implementation • 29 Mar 2022 • Jian Cheng, Yanguang Wan, Dexin Zuo, Cuixia Ma, Jian Gu, Ping Tan, Hongan Wang, Xiaoming Deng, yinda zhang
3D hand pose estimation from single depth is a fundamental problem in computer vision, and has wide applications. However, the existing methods still can not achieve satisfactory hand pose estimation results due to view variation and occlusion of human hand.
Ranked #1 on Hand Pose Estimation on ICVL Hands
1 code implementation • the Thirtieth International Joint Conference on Artificial Intelligence 2021 • Zihao Zhang, Lei Hu, Xiaoming Deng, Shihong Xia
In this paper, we present a new perspective on the 3D human pose estimation method from point cloud sequences.
Ranked #1 on Pose Estimation on ITOP front-view
no code implementations • 7 Apr 2017 • Xiaoming Deng, Shuo Yang, yinda zhang, Ping Tan, Liang Chang, Hongan Wang
We propose a novel 3D neural network architecture for 3D hand pose estimation from a single depth image.
no code implementations • 8 Dec 2016 • Xiaoming Deng, Ye Yuan, Yinda Zhang, Ping Tan, Liang Chang, Shuo Yang, Hongan Wang
Hand detection is essential for many hand related tasks, e. g. parsing hand pose, understanding gesture, which are extremely useful for robotics and human-computer interaction.
no code implementations • ECCV 2020 • Fang Liu, Changqing Zou, Xiaoming Deng, Ran Zuo, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang
Sketch-based image retrieval (SBIR) has been a popular research topic in recent years.
no code implementations • ICCV 2021 • Baowen Zhang, Yangang Wang, Xiaoming Deng, yinda zhang, Ping Tan, Cuixia Ma, Hongan Wang
In this paper, we propose a novel deep learning framework to reconstruct 3D hand poses and shapes of two interacting hands from a single color image.
Ranked #6 on 3D Interacting Hand Pose Estimation on InterHand2.6M
no code implementations • 28 Oct 2021 • Kevin Maher, Zeyuan Huang, Jiancheng Song, Xiaoming Deng, Yu-Kun Lai, Cuixia Ma, Hao Wang, Yong-Jin Liu, Hongan Wang
We further studied the usability of the system by speaking novices and experts on assisting analysis of inspirational speech effectiveness.
no code implementations • 6 Mar 2023 • Jianping Jiang, Jiahe Li, Baowen Zhang, Xiaoming Deng, Boxin Shi
Experiments on EvRealHands demonstrate that EvHandPose outperforms previous event-based methods under all evaluation scenes, achieves accurate and stable hand pose estimation with high temporal resolution in fast motion and strong light scenes compared with RGB-based methods, generalizes well to outdoor scenes and another type of event camera, and shows the potential for the hand gesture recognition task.
no code implementations • ICCV 2023 • Wentian Qu, Zhaopeng Cui, yinda zhang, Chenyu Meng, Cuixia Ma, Xiaoming Deng, Hongan Wang
Hand-object interaction understanding and the barely addressed novel view synthesis are highly desired in the immersive communication, whereas it is challenging due to the high deformation of hand and heavy occlusions between hand and object.
no code implementations • ICCV 2023 • Baowen Zhang, Jiahe Li, Xiaoming Deng, yinda zhang, Cuixia Ma, Hongan Wang
In this paper, we propose a novel self-supervised approach to learn neural implicit shape representation for deformable objects, which can represent shapes with a template shape and dense correspondence in 3D.
no code implementations • 12 Mar 2024 • Jianping Jiang, Xinyu Zhou, Bingxuan Wang, Xiaoming Deng, Chao Xu, Boxin Shi
Experiments on real-world data demonstrate that EvRGBHand can effectively solve the challenging issues when using either type of camera alone via retaining the merits of both, and shows the potential of generalization to outdoor scenes and another type of event camera.