10 citations · 17 across the 9 of their papers we have counts for
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cs.CV2023
Multiple View Geometry Transformers for 3D Human Pose Estimation
Ziwei Liao, Jialiang Zhu, Chunyu Wang +2
In this work, we aim to improve the 3D reasoning ability of Transformers in multi-view 3D human pose estimation. Recent works have focused on end-to-end learning-based transformer…
cs.CV2023
Uncertainty-aware 3D Object-Level Mapping with Deep Shape Priors
Ziwei Liao, Jun Yang, Jingxing Qian +2
3D object-level mapping is a fundamental problem in robotics, which is especially challenging when object CAD models are unavailable during inference. In this work, we propose a fr…
cs.CV2023
Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior
Ziwei Liao, Steven L. Waslander
3D object reconstruction is important for semantic scene understanding. It is challenging to reconstruct detailed 3D shapes from monocular images directly due to a lack of depth in…