research
∙
08/29/2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Since real-world training datasets cannot properly sample the long tail ...
share
research
∙
07/17/2023
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning
We propose a novel semi-supervised active learning (SSAL) framework for ...
research
∙
07/17/2023
Active Learning for Object Detection with Non-Redundant Informative Sampling
Curating an informative and representative dataset is essential for enha...
research
∙
06/21/2023
Multi-Task Consistency for Active Learning
Learning-based solutions for vision tasks require a large amount of labe...
research
∙
04/25/2023
Bridging graph data models: RDF, RDF-star, and property graphs as directed acyclic graphs
Graph database users today face a choice between two technology stacks: ...
research
∙
12/09/2021
3D-VField: Learning to Adversarially Deform Point Clouds for Robust 3D Object Detection
As 3D object detection on point clouds relies on the geometrical relatio...
research
∙
10/26/2021
Graph? Yes! Which one? Help!
Amazon Neptune is a graph database service that supports two graph (meta...
research
∙
09/10/2019
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Continuous-time Bayesian Networks (CTBNs) represent a compact yet powerf...
research
∙
06/23/2009
