7 citations · 11 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset
Mathias Zinnen, Prathmesh Madhu, Inger Leemans +6
Real-world applications of computer vision in the humanities require algorithms to be robust against artistic abstraction, peripheral objects, and subtle differences between fine-g…
Gesture Classification in Artworks Using Contextual Image Features
Azhar Hussian, Mathias Zinnen, Thi My Hang Tran +2
Recognizing gestures in artworks can add a valuable dimension to art understanding and help to acknowledge the role of the sense of smell in cultural heritage. We propose a method…
SniffyArt: The Dataset of Smelling Persons
Mathias Zinnen, Azhar Hussian, Hang Tran +3
Smell gestures play a crucial role in the investigation of past smells in the visual arts yet their automated recognition poses significant challenges. This paper introduces the Sn…