Search Results for author: Pengfei Ren

Found 6 papers, 5 papers with code

Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image

1 code implementation ICCV 2023 Pengfei Ren, Chao Wen, Xiaozheng Zheng, Zhou Xue, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao

On the other hand, there are complex spatial relationship between interacting hands, which significantly increases the solution space of hand poses and increases the difficulty of network learning.

3D Hand Pose Estimation 3D Interacting Hand Pose Estimation

HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning

1 code implementation ICCV 2023 Xiaozheng Zheng, Chao Wen, Zhou Xue, Pengfei Ren, Jingyu Wang

Recent advancements in 3D hand pose estimation have shown promising results, but its effectiveness has primarily relied on the availability of large-scale annotated datasets, the creation of which is a laborious and costly process.

3D Hand Pose Estimation Self-Supervised Learning

Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding

1 code implementation29 Jul 2022 Jiachang Hao, Haifeng Sun, Pengfei Ren, Jingyu Wang, Qi Qi, Jianxin Liao

Our framework introduces two auxiliary tasks, cross-modal matching and temporal order discrimination, to promote the grounding model training.

Language-Based Temporal Localization Sentence

Mining Multi-View Information: A Strong Self-Supervised Framework for Depth-Based 3D Hand Pose and Mesh Estimation

1 code implementation CVPR 2022 Pengfei Ren, Haifeng Sun, Jiachang Hao, Jingyu Wang, Qi Qi, Jianxin Liao

However, these methods ignore the rich semantic information in each view and ignore the complex dependencies between different regions of different views.

3D Hand Pose Estimation

AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation

1 code implementation19 Jul 2020 Weiting Huang, Pengfei Ren, Jingyu Wang, Qi Qi, Haifeng Sun

In this paper, we propose an adaptive weighting regression (AWR) method to leverage the advantages of both detection-based and regression-based methods.

3D Hand Pose Estimation regression

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