LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo

Ronald Clark, Michael Bloesch, Jan Czarnowski +2

Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal Sensory Data

Ronald Clark, Sen Wang, Hongkai Wen +2

WiSE-ALE: Wide Sample Estimator for Approximate Latent Embedding

Shuyu Lin, Ronald Clark, Robert Birke +2

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization

Ronald Clark, Sen Wang, Andrew Markham +2

Fusion++: Volumetric Object-Level SLAM

John McCormac, Ronald Clark, Michael Bloesch +2

3D Object Reconstruction from a Single Depth View with Adversarial Learning

Bo Yang, Hongkai Wen, Sen Wang +3

DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks

Sen Wang, Ronald Clark, Hongkai Wen +1

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

Ronald Clark, Sen Wang, Hongkai Wen +2

Highly Luminescent Bulk Quantum Materials Based on Zero-Dimensional Organic Tin Halide Perovskites

Chenkun Zhou, Zhao Yuan, Yu Tian +13

X-Section: Cross-Section Prediction for Enhanced RGBD Fusion

Andrea Nicastro, Ronald Clark, Stefan Leutenegger

The paper introduces X-Section, a deep‑learning method that predicts per‑object thickness from RGB‑D images and integrates these predictions into an extended KinectFusion pipeline…

InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

Wenbin Li, Sajad Saeedi, John McCormac +6

CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM

Michael Bloesch, Jan Czarnowski, Ronald Clark +2