23 citations · 92 across the 32 of their papers we have counts for
6 papers · 1 filter
InfiNoVA: Infinite Novel View Augmentation for Viewpoint Invariant Robot Policies
Sai Puneeth Reddy Gottam, Elmar Rueckert, Vedant Dave
Vision-Language-Action (VLA) policies often rely strongly on the camera viewpoints seen during training, causing substantial performance degradation when deployed from unseen persp…
Pro-Bench: Prompt-Robust Open-Vocabulary Visual Grounding Across Real-World Heterogeneous Environments
Linus Nwankwo, Muslim Alaran, Christian Rauch +2
Open-vocabulary visual grounding enables robots to localise task-relevant entities from natural-language queries without dependence on predefined perceptual taxonomies. However, ex…
Sandwich-Residuals: Parameter-Efficient Test-time Adaptation of World Models
Krishnam Soni, Aditya Sehgal, Vedant Dave +1
Latent world models enable planning by predicting the effects of actions in a learned representation space, but their predictions can become unreliable when test-time conditions di…
EliGSiR: Continual RGB-D Mapping with Gaussian Splatting under Bounded Compute
Björn Ellensohn, Elmar Rueckert, Christian Rauch
Conventional 3D Gaussian Splatting assumes a closed set of observations and long optimization schedules. Continual RGB-D mapping in contrast poses the problem that new observations…
SteelDS: A High-Resolution Video Dataset of E40 Steel Scrap for Object Detection and Instance Segmentation
Melanie Neubauer, Christian Rauch, Gerald Koinig +3
This dataset provides high-resolution, annotated video sequences of shredded E40-grade steel and copper scrap on a conveyor belt. Captured in a controlled laboratory environment, t…
PASTA: Vision Transformer Patch Aggregation for Weakly Supervised Target and Anomaly Segmentation
Melanie Neubauer, Elmar Rueckert, Christian Rauch
Detecting unseen anomalies in unstructured environments presents a critical challenge for industrial and agricultural applications such as material recycling and weeding. Existing…