962 citations · 1.6k across the 20 of their papers we have counts for
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Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
Shuyu Lin, Stephen Roberts, Niki Trigoni +1
A trade-off exists between reconstruction quality and the prior regularisation in the Evidence Lower Bound (ELBO) loss that Variational Autoencoder (VAE) models use for learning. T…
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang, Jianan Wang, Ronald Clark +4
We propose a novel, conceptually simple and general framework for instance segmentation on 3D point clouds. Our method, called 3D-BoNet, follows the simple design philosophy of per…
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…
X-Section: Cross-Section Prediction for Enhanced RGBD Fusion
Andrea Nicastro, Ronald Clark, Stefan Leutenegger
Detailed 3D reconstruction is an important challenge with application to robotics, augmented and virtual reality, which has seen impressive progress throughout the past years. Adva…