37 citations · 48 across the 6 of their papers we have counts for
6 papers · 1 filter
An Improved Baseline Framework for Pose Estimation Challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop
Jiajun Fu, Yonghao Dang, Ruoqi Yin +4
This technical report describes our first-place solution to the pose estimation challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop. In this chal…
2D Human Pose Estimation: A Survey
Haoming Chen, Runyang Feng, Sifan Wu +3
Human pose estimation aims at localizing human anatomical keypoints or body parts in the input data (e.g., images, videos, or signals). It forms a crucial component in enabling mac…
Basket-based Softmax
Qiang Meng, Xinqian Gu, Xiaqing Xu +1
Softmax-based losses have achieved state-of-the-art performances on various tasks such as face recognition and re-identification. However, these methods highly relied on clean data…
Learning Compatible Embeddings
Qiang Meng, Chixiang Zhang, Xiaoqiang Xu +1
Achieving backward compatibility when rolling out new models can highly reduce costs or even bypass feature re-encoding of existing gallery images for in-production visual retrieva…
MagFace: A Universal Representation for Face Recognition and Quality Assessment
Qiang Meng, Shichao Zhao, Zhida Huang +1
The performance of face recognition system degrades when the variability of the acquired faces increases. Prior work alleviates this issue by either monitoring the face quality in…
Deep Deformation Network for Object Landmark Localization
Xiang Yu, Feng Zhou, Manmohan Chandraker
We propose a novel cascaded framework, namely deep deformation network (DDN), for localizing landmarks in non-rigid objects. The hallmarks of DDN are its incorporation of geometric…