18 citations · 64 across the 43 of their papers we have counts for
8 papers · 1 filter
ControlRoom3D: Room Generation using Semantic Proxy Rooms
Jonas Schult, Sam Tsai, Lukas Höllein +11
Manually creating 3D environments for AR/VR applications is a complex process requiring expert knowledge in 3D modeling software. Pioneering works facilitate this process by genera…
BUSSARD -- Better Understanding Social Situations for Autonomous Robot Decision-Making
Stefan Schiffer, Astrid Rosenthal-von der Pütten, Bastian Leibe
We report on our effort to create a corpus dataset of different social context situations in an office setting for further disciplinary and interdisciplinary research in computer v…
Mask4Former: Mask Transformer for 4D Panoptic Segmentation
Kadir Yilmaz, Jonas Schult, Alexey Nekrasov +1
Accurately perceiving and tracking instances over time is essential for the decision-making processes of autonomous agents interacting safely in dynamic environments. With this int…
Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis
Jonathon Luiten, Georgios Kopanas, Bastian Leibe +1
We present a method that simultaneously addresses the tasks of dynamic scene novel-view synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We follow…
UGainS: Uncertainty Guided Anomaly Instance Segmentation
Alexey Nekrasov, Alexander Hermans, Lars Kuhnert +1
A single unexpected object on the road can cause an accident or may lead to injuries. To prevent this, we need a reliable mechanism for finding anomalous objects on the road. This…
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
Yuanwen Yue, Sabarinath Mahadevan, Jonas Schult +4
During interactive segmentation, a model and a user work together to delineate objects of interest in a 3D point cloud. In an iterative process, the model assigns each data point t…
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer
Amit Kumar Rana, Sabarinath Mahadevan, Alexander Hermans +1
Most state-of-the-art instance segmentation methods rely on large amounts of pixel-precise ground-truth annotations for training, which are expensive to create. Interactive segment…
TarViS: A Unified Approach for Target-based Video Segmentation
Ali Athar, Alexander Hermans, Jonathon Luiten +2
The general domain of video segmentation is currently fragmented into different tasks spanning multiple benchmarks. Despite rapid progress in the state-of-the-art, current methods…