1. PointWise: An Unsupervised Point-wise Feature Learning Network abstract We present a novel approach to learning a point-wise, meaningful embedding for point-clouds in an unsupervised manner, through the use of neural-networks. The domain of point-cloud processing via neural-networks is rapidly ...
Furthermore, it introduces for the first time a point-wise strategy of RANSAC. New estimation algorithms are developed following both the model-wise and point-wise RANSAC concepts. The proposed algorithms' theoretical robustness and breakdown points are investigated in a novel probabilistic setting. ...
[ICCV] Improving 3D Object Detection with Channel-wise Transformer. [Detection] [ICCV] patio-temporal Self-Supervised Representation Learning for 3D Point Clouds. [Learning] [ICCV] Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. [Detection] [ICCV] Voxel Transformer...
and 0.03 ms for control (Supplementary Table5). The low-latency detection and planning enabled the quadrotor UAV to avoid the thrown obstacles stably. We have also conducted multiple experiments where the object was tossed when the UAV was in forward flights (Supplementary Video2). In all the ...
OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection [det] SEED: A Simple and Effective 3D DETR in Point Clouds [det] DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection [det; PyTorch] General Geometry-aware Weakly Supervised 3D Object Detection [det; PyTorch] ...
We are excited to introduce new SharePoint news to email feature which is rolling out to Microsoft 365 customers in August-September 2023 timeframe.
As such, our PTC can apply a transformer model based on the point-wise representation rather than on the voxel-wise one. To enhance the ability to capture long-range features and reduce the computational complexity of the transformer, we propose a two-step transformer, each with different ...
If your organization offers products or services to consumers, integrating with Facebook might be a wise choice. If your business is more based on knowledge and is targeted at other businesses, it might be worth the effort to integrate with Viva Engage also. To put it sim...
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation - minwoo0611/MA-LIO
which is accepted by RA-L 2023. MA-LIO proposes an asynchronous multiple LiDAR-inertial odometry. To deal with the abovementioned challenges in multi-LiDAR, we model point-wise uncertainty by considering the range and state covariance at each time. Furthermore, we calculate localization weight usi...