research
∙
08/29/2023
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection
Unsupervised domain adaptation (UDA) plays a crucial role in object dete...
share
research
∙
08/28/2023
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
Deep-learning models for 3D point cloud semantic segmentation exhibit li...
research
∙
07/28/2023
PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding
The recent trend in deep learning methods for 3D point cloud understandi...
research
∙
07/28/2023
Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation
Recent works on 6D object pose estimation focus on learning keypoint cor...
research
∙
04/11/2023
The MONET dataset: Multimodal drone thermal dataset recorded in rural scenarios
We present MONET, a new multimodal dataset captured using a thermal came...
research
∙
03/21/2023
Novel Class Discovery for 3D Point Cloud Semantic Segmentation
Novel class discovery (NCD) for semantic segmentation is the task of lea...
research
∙
12/16/2022
Detection-aware multi-object tracking evaluation
How would you fairly evaluate two multi-object tracking algorithms (i.e....
research
∙
10/17/2022
Overlap-guided Gaussian Mixture Models for Point Cloud Registration
Probabilistic 3D point cloud registration methods have shown competitive...
research
∙
10/09/2022
Data augmentation for NeRF: a geometric consistent solution based on view morphing
NeRF aims to learn a continuous neural scene representation by using a f...
research
∙
10/06/2022
Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
Unsupervised learning on 3D point clouds has undergone a rapid evolution...
research
∙
07/20/2022
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation
3D LiDAR semantic segmentation is fundamental for autonomous driving. Se...
research
∙
07/20/2022
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation
3D point cloud semantic segmentation is fundamental for autonomous drivi...
research
∙
05/21/2021
Generalisable and distinctive 3D local deep descriptors for point cloud registration
An effective 3D descriptor should be invariant to different geometric tr...
research
∙
09/01/2020
Distinctive 3D local deep descriptors
We present a simple but yet effective method for learning distinctive 3D...
research
∙
05/07/2020
Multi-view data capture using edge-synchronised mobiles
Multi-view data capture permits free-viewpoint video (FVV) content creat...
research
∙
02/02/2020
