16 citations · 29 across the 26 of their papers we have counts for
7 papers · 1 filter
IKEA Object State Dataset: A 6DoF object pose estimation dataset and benchmark for multi-state assembly objects
Yongzhi Su, Mingxin Liu, Jason Rambach +3
Utilizing 6DoF(Degrees of Freedom) pose information of an object and its components is critical for object state detection tasks. We present IKEA Object State Dataset, a new datase…
PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB Image
Yaxu Xie, Fangwen Shu, Jason Rambach +2
Piece-wise 3D planar reconstruction provides holistic scene understanding of man-made environments, especially for indoor scenarios. Most recent approaches focused on improving the…
TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera
Pascal Schneider, Yuriy Anisimov, Raisul Islam +4
We present TIMo (Time-of-flight Indoor Monitoring), a dataset for video-based monitoring of indoor spaces captured using a time-of-flight (ToF) camera. The resulting depth videos f…
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
Lukas Stäcker, Juncong Fei, Philipp Heidenreich +4
Deep neural networks have proven increasingly important for automotive scene understanding with new algorithms offering constant improvements of the detection performance. However,…
Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction
Fangwen Shu, Yaxu Xie, Jason Rambach +2
This paper presents a semantic planar SLAM system that improves pose estimation and mapping using cues from an instance planar segmentation network. While the mainstream approaches…
PlaneSegNet: Fast and Robust Plane Estimation Using a Single-stage Instance Segmentation CNN
Yaxu Xie, Jason Rambach, Fangwen Shu +1
Instance segmentation of planar regions in indoor scenes benefits visual SLAM and other applications such as augmented reality (AR) where scene understanding is required. Existing…