160 citations · 161 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 1 cited
LaDDer: Latent Data Distribution Modelling with a Generative Prior
Shuyu Lin, Ronald Clark
In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represent the inferred \textbf{latent data distribu…
cs.CV2020★ 160 cited
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM
Jan Czarnowski, Tristan Laidlow, Ronald Clark +1
The ability to estimate rich geometry and camera motion from monocular imagery is fundamental to future interactive robotics and augmented reality applications. Different approache…
cs.LG2019
WiSE-ALE: Wide Sample Estimator for Approximate Latent Embedding
Shuyu Lin, Ronald Clark, Robert Birke +2
Variational Auto-encoders (VAEs) have been very successful as methods for forming compressed latent representations of complex, often high-dimensional, data. In this paper, we deri…