121 citations · 121 across the 4 of their papers we have counts for
5 papers
InHabit: Scaling 3D Human-Scene Interaction Data With Image Foundation Models
Nikita Kister, Pradyumna YM, István Sárándi +3
Embodied AI and human-centric 3D scene understanding require data of people meaningfully interacting with diverse environments, yet such data remains scarce. Real-world capture has…
GRAFT: Geometric Refinement and Fitting Transformer for Human Scene Reconstruction
Pradyumna YM, Yuxuan Xue, Yue Chen +3
Reconstructing physically plausible 3D human-scene interactions (HSI) from a single image currently presents a trade-off: optimization based methods offer accurate contact but are…
Are Pose Estimators Ready for the Open World? STAGE: A GenAI Toolkit for Auditing 3D Human Pose Estimators
Nikita Kister, István Sárándi, Jiayi Wang +2
For safety-critical applications, it is crucial to audit 3D human pose estimators before deployment. Will the system break down if the weather or the clothing changes? Is it robust…
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation
Guillem Brasó, Nikita Kister, Laura Leal-Taixé
We introduce CenterGroup, an attention-based framework to estimate human poses from a set of identity-agnostic keypoints and person center predictions in an image. Our approach use…
Assessment of Deep Convolutional Neural Networks for Road Surface Classification
Marcus Nolte, Nikita Kister, Markus Maurer
When parameterizing vehicle control algorithms for stability or trajectory control, the road-tire friction coefficient is an essential model parameter when it comes to control perf…