20 citations · 21 across the 5 of their papers we have counts for
5 papers
Multimodal Object Query Initialization for 3D Object Detection
Mathijs R. van Geerenstein, Felicia Ruppel, Klaus Dietmayer +1
3D object detection models that exploit both LiDAR and camera sensor features are top performers in large-scale autonomous driving benchmarks. A transformer is a popular network ar…
Group Regression for Query Based Object Detection and Tracking
Felicia Ruppel, Florian Faion, Claudius Gläser +1
Group regression is commonly used in 3D object detection to predict box parameters of similar classes in a joint head, aiming to benefit from similarities while separating highly d…
Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects?
Felicia Ruppel, Florian Faion, Claudius Gläser +1
Transformers have recently been utilized to perform object detection and tracking in the context of autonomous driving. One unique characteristic of these models is that attention…
Transformers for Object Detection in Large Point Clouds
Felicia Ruppel, Florian Faion, Claudius Gläser +1
We present TransLPC, a novel detection model for large point clouds that is based on a transformer architecture. While object detection with transformers has been an active field o…
Transformers for Multi-Object Tracking on Point Clouds
Felicia Ruppel, Florian Faion, Claudius Gläser +1
We present TransMOT, a novel transformer-based end-to-end trainable online tracker and detector for point cloud data. The model utilizes a cross- and a self-attention mechanism and…