82 citations · 133 across the 11 of their papers we have counts for
11 papers
Lazy Visual Localization via Motion Averaging
Siyan Dong, Shaohui Liu, Hengkai Guo +2
Visual (re)localization is critical for various applications in computer vision and robotics. Its goal is to estimate the 6 degrees of freedom (DoF) camera pose for each query imag…
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution
Yingda Yin, Jiangran Lyu, Yang Wang +3
Estimating the 3DoF rotation from a single RGB image is an important yet challenging problem. As a popular approach, probabilistic rotation modeling additionally carries prediction…
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
Yingda Yin, Yang Wang, He Wang +1
Estimating the 3DoF rotation from a single RGB image is an important yet challenging problem. Probabilistic rotation regression has raised more and more attention with the benefit…
ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters
Heyuan Yao, Zhenhua Song, Baoquan Chen +1
In this paper, we introduce ControlVAE, a novel model-based framework for learning generative motion control policies based on variational autoencoders (VAE). Our framework can lea…
Visual Localization via Few-Shot Scene Region Classification
Siyan Dong, Shuzhe Wang, Yixin Zhuang +3
Visual (re)localization addresses the problem of estimating the 6-DoF (Degree of Freedom) camera pose of a query image captured in a known scene, which is a key building block of m…
Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors
Yiming Wang, Qingzhe Gao, Libin Liu +3
We propose a new method for learning a generalized animatable neural human representation from a sparse set of multi-view imagery of multiple persons. The learned representation ca…