14 citations · 16 across the 4 of their papers we have counts for
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cs.CV2024
Dessie: Disentanglement for Articulated 3D Horse Shape and Pose Estimation from Images
Ci Li, Yi Yang, Zehang Weng +3
In recent years, 3D parametric animal models have been developed to aid in estimating 3D shape and pose from images and video. While progress has been made for humans, it's more ch…
cs.CV2024
CLHOP: Combined Audio-Video Learning for Horse 3D Pose and Shape Estimation
Ci Li, Elin Hernlund, Hedvig Kjellström +1
In the monocular setting, predicting 3D pose and shape of animals typically relies solely on visual information, which is highly under-constrained. In this work, we explore using a…
cs.CV2021★ 14 cited
hSMAL: Detailed Horse Shape and Pose Reconstruction for Motion Pattern Recognition
Ci Li, Nima Ghorbani, Sofia Broomé +5
In this paper we present our preliminary work on model-based behavioral analysis of horse motion. Our approach is based on the SMAL model, a 3D articulated statistical model of ani…