97 citations · 306 across the 41 of their papers we have counts for
21 papers · 1 filter
Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic Segmentation
Sebastian Scherer, Robin Schön, Rainer Lienhart
Semi-supervised learning (SSL) can reduce the need for large labelled datasets by incorporating unlabelled data into the training. This is particularly interesting for semantic seg…
TartanCalib: Iterative Wide-Angle Lens Calibration using Adaptive SubPixel Refinement of AprilTags
Bardienus P Duisterhof, Yaoyu Hu, Si Heng Teng +2
Wide-angle cameras are uniquely positioned for mobile robots, by virtue of the rich information they provide in a small, light, and cost-effective form factor. An accurate calibrat…
360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance
Shreyas Kulkarni, Peng Yin, Sebastian Scherer
We present a method to synthesize novel views from a single panorama image based on the neural radiance field (NeRF). Prior studies in a similar setting rely on the nei…
iSimLoc: Visual Global Localization for Previously Unseen Environments with Simulated Images
Peng Yin, Ivan Cisneros, Ji Zhang +2
The visual camera is an attractive device in beyond visual line of sight (B-VLOS) drone operation, since they are low in size, weight, power, and cost, and can provide redundant mo…
3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud
Zheng Fang, Sifan Zhou, Yubo Cui +1
3D single object tracking is a key issue for autonomous following robot, where the robot should robustly track and accurately localize the target for efficient following. In this p…
3D Segmentation Learning from Sparse Annotations and Hierarchical Descriptors
Peng Yin, Lingyun Xu, Jianmin Ji +2
One of the main obstacles to 3D semantic segmentation is the significant amount of endeavor required to generate expensive point-wise annotations for fully supervised training. To…