2 citations · 2 across the 5 of their papers we have counts for
5 papers
Towards Real-Time and Adaptable LiDAR Scene Completion
Azhar Hussian, Martin Vossiek, Vasileios Belagiannis
LiDAR scene completion is a key component of 3D perception in autonomous driving, where the scene must be completed in real time to be usable in downstream tasks. Existing approach…
Point Cloud Upsampling through Patch-based Frequency Superposition
Marina Ritthaler, Azhar Hussian, Vasileios Belagiannis +1
In recent years, neural networks have become the dominant models in most point cloud upsampling methods. Although these approaches are achieving good results, they do have drawback…
I2PRef: Image-Driven Point Completion with Iterative Refinement
Azhar Hussian, Marina Ritthaler, André Kaup +1
We present an image-conditioned point cloud completion approach that treats images as the primary geometric source rather than a secondary guide. To this end, we introduce an Image…
Depth Edge Alignment Loss: DEALing with Depth in Weakly Supervised Semantic Segmentation
Patrick Schmidt, Vasileios Belagiannis, Lazaros Nalpantidis
Autonomous robotic systems applied to new domains require an abundance of expensive, pixel-level dense labels to train robust semantic segmentation models under full supervision. T…
ParticleAugment: Sampling-Based Data Augmentation
Alexander Tsaregorodtsev, Vasileios Belagiannis
We present an automated data augmentation approach for image classification. We formulate the problem as Monte Carlo sampling where our goal is to approximate the optimal augmentat…