18 citations · 20 across the 7 of their papers we have counts for
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cs.CV2024
On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional Encoding
Guying Lin, Lei Yang, Yuan Liu +6
Neural implicit fields, such as the neural signed distance field (SDF) of a shape, have emerged as a powerful representation for many applications, e.g., encoding a 3D shape and pe…
cs.CV2023
Generative Hierarchical Temporal Transformer for Hand Pose and Action Modeling
Yilin Wen, Hao Pan, Takehiko Ohkawa +5
We present a novel unified framework that concurrently tackles recognition and future prediction for human hand pose and action modeling. Previous works generally provide isolated…
cs.CV2021★ 18 cited
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation
Yilin Wen, Xiangyu Li, Hao Pan +4
Scalable 6D pose estimation for rigid objects from RGB images aims at handling multiple objects and generalizing to novel objects. Building on a well-known auto-encoding framework…