research
∙
10/12/2022
Event-based Non-Rigid Reconstruction from Contours
Visual reconstruction of fast non-rigid object deformations over time is...
share
research
∙
10/08/2020
Semi-Supervised Learning of Multi-Object 3D Scene Representations
Representing scenes at the granularity of objects is a prerequisite for ...
research
∙
09/28/2020
Learning to Adapt Multi-View Stereo by Self-Supervision
3D scene reconstruction from multiple views is an important classical pr...
research
∙
09/17/2020
Learning to Identify Physical Parameters from Video Using Differentiable Physics
Video representation learning has recently attracted attention in comput...
research
∙
05/07/2020
Planning from Images with Deep Latent Gaussian Process Dynamics
Planning is a powerful approach to control problems with known environme...
research
∙
05/02/2020
SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction
Inferring the pose and shape of vehicles in 3D from a movable platform s...
research
∙
04/26/2019
EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association
The majority of approaches for acquiring dense 3D environment maps with ...
research
∙
04/13/2019
Visual-Inertial Mapping with Non-Linear Factor Recovery
Cameras and inertial measurement units are complementary sensors for ego...
research
∙
08/08/2018
Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras
We propose a novel real-time direct monocular visual odometry for omnidi...
research
∙
08/06/2018
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform
Dense pixelwise prediction such as semantic segmentation is an up-to-dat...
research
∙
08/01/2018
Direct Sparse Odometry with Rolling Shutter
Neglecting the effects of rolling-shutter cameras for visual odometry (V...
research
∙
07/06/2018
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
Monocular visual odometry approaches that purely rely on geometric cues ...
research
∙
04/17/2018
The TUM VI Benchmark for Evaluating Visual-Inertial Odometry
Visual odometry and SLAM methods have a large variety of applications in...
research
∙
03/26/2017
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras
Visual scene understanding is an important capability that enables robot...
research
∙
02/09/2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Supervised deep learning often suffers from the lack of sufficient train...
research
∙
02/07/2017
Keyframe-Based Visual-Inertial Online SLAM with Relocalization
Complementing images with inertial measurements has become one of the mo...
research
∙
09/26/2016