119 citations · 324 across the 15 of their papers we have counts for
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cs.CV2021★ 1 cited
Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training
Qi Feng, Kun He, He Wen +2
Pose estimation of the human body and hands is a fundamental problem in computer vision, and learning-based solutions require a large amount of annotated data. In this work, we imp…
cs.CV2021★ 2 cited
Identity-Disentangled Neural Deformation Model for Dynamic Meshes
Binbin Xu, Lingni Ma, Yuting Ye +3
Neural shape models can represent complex 3D shapes with a compact latent space. When applied to dynamically deforming shapes such as the human hands, however, they would need to p…
cs.LG2021★ 13 cited
Understanding the role of importance weighting for deep learning
Da Xu, Yuting Ye, Chuanwei Ruan
The recent paper by Byrd & Lipton (2019), based on empirical observations, raises a major concern on the impact of importance weighting for the over-parameterized deep learning mod…