8 citations · 10 across the 11 of their papers we have counts for
12 papers
Occlusion-Robust Multimodal Emotion Recognition in VR via Fusion of Facial Images and EMG
Birgit Nierula, Karam Tomotaki-Dawoud, Mert Akguel +5
Head-mounted displays (HMDs) fundamentally limit emotion recognition in virtual reality (VR): by occluding the upper face, they render conventional image-based facial expression an…
RIPE++: Reinforced Keypoint Learning from Positive Pairs Only
Johannes Künzel, Peter Eisert, Anna Hilsmann
Sparse keypoint extraction and matching underpin core tasks in geometric computer vision, including structure-from-motion, visual SLAM, augmented reality, and medical image registr…
Temporal Preservation over Processing: Diagnosing and Designing Spatiotemporal Single-Stage Video Detectors
Karam Tomotaki-Dawoud, Anna Hilsmann, Peter Eisert +1
Single-stage video object detectors are increasingly deployed in time-critical applications, yet it remains unclear whether these models genuinely reason over temporal context or m…
Non-invasive Growth Monitoring of Small Freshwater Fish in Home Aquariums via Stereo Vision
Clemens Seibold, Anna Hilsmann, Peter Eisert
Monitoring fish growth behavior provides relevant information about fish health in aquaculture and home aquariums. Yet, monitoring fish sizes poses different challenges, as fish ar…
Video-based Locomotion Analysis for Fish Health Monitoring
Timon Palm, Clemens Seibold, Anna Hilsmann +1
Monitoring the health conditions of fish is essential, as it enables the early detection of disease, safeguards animal welfare, and contributes to sustainable aquaculture practices…
R3GW: Relightable 3D Gaussians for Outdoor Scenes in the Wild
Margherita Lea Corona, Wieland Morgenstern, Peter Eisert +1
3D Gaussian Splatting (3DGS) has established itself as a leading technique for 3D reconstruction and novel view synthesis of static scenes, achieving outstanding rendering quality…
Phys-3D: Physics-Constrained Real-Time Crowd Tracking and Counting on Railway Platforms
Bin Zeng, Johannes Künzel, Anna Hilsmann +1
Accurate, real-time crowd counting on railway platforms is essential for safety and capacity management. We propose to use a single camera mounted in a train, scanning the platform…
AppleGrowthVision: A large-scale stereo dataset for phenological analysis, fruit detection, and 3D reconstruction in apple orchards
Laura-Sophia von Hirschhausen, Jannes S. Magnusson, Mykyta Kovalenko +6
Deep learning has transformed computer vision for precision agriculture, yet apple orchard monitoring remains limited by dataset constraints. The lack of diverse, realistic dataset…
Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization
Rohan Reddy Mekala, Frederik Pahde, Simon Baur +11
In the realm of dermatological diagnoses, where the analysis of dermatoscopic and microscopic skin lesion images is pivotal for the accurate and early detection of various medical…
EEG-Features for Generalized Deepfake Detection
Arian Beckmann, Tilman Stephani, Felix Klotzsche +8
Since the advent of Deepfakes in digital media, the development of robust and reliable detection mechanism is urgently called for. In this study, we explore a novel approach to Dee…
Human-Centered Evaluation of XAI Methods
Karam Dawoud, Wojciech Samek, Peter Eisert +2
In the ever-evolving field of Artificial Intelligence, a critical challenge has been to decipher the decision-making processes within the so-called "black boxes" in deep learning.…
But that's not why: Inference adjustment by interactive prototype revision
Michael Gerstenberger, Sebastian Lapuschkin, Peter Eisert +1
Despite significant advances in machine learning, decision-making of artificial agents is still not perfect and often requires post-hoc human interventions. If the prediction of a…