5 citations · 11 across the 8 of their papers we have counts for
8 papers
Operationalizing Fairness in Text-to-Image Models: A Survey of Bias, Fairness Audits and Mitigation Strategies
Megan Smith, Venkatesh Thirugnana Sambandham, Florian Richter +3
Text-to-Image (T2I) generation models have been widely adopted across various industries, yet are criticized for frequently exhibiting societal stereotypes. While a growing body of…
Zwitscherkasten -- DIY Audiovisual bird monitoring
Dominik Blum, Elias Häring, Fabian Jirges +4
This paper presents Zwitscherkasten, a DiY, multimodal system for bird species monitoring using audio and visual data on edge devices. Deep learning models for bioacoustic and imag…
UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception
Karthikeyan Chandra Sekaran, Markus Geisler, Dominik Rößle +6
Recent cooperative perception datasets have played a crucial role in advancing smart mobility applications by enabling information exchange between intelligent agents, helping to o…
Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach
Adithya Mohan, Dominik Rößle, Daniel Cremers +1
Recent advancements in Deep Reinforcement Learning (DRL) have demonstrated its applicability across various domains, including robotics, healthcare, energy optimization, and autono…
Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data
Calvin Kammerlander, Viola Kolb, Marinus Luegmair +6
Efficient nutrient management and precise fertilization are essential for advancing modern agriculture, particularly in regions striving to optimize crop yields sustainably. The Ag…
Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forces
Vahid Hashemi, Jan Křetínský, Sabine Rieder +2
Since neural networks can make wrong predictions even with high confidence, monitoring their behavior at runtime is important, especially in safety-critical domains like autonomous…
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction
Dominik Rößle, Jeremias Gerner, Klaus Bogenberger +3
Accurate and comprehensive semantic segmentation of Bird's Eye View (BEV) is essential for ensuring safe and proactive navigation in autonomous driving. Although cooperative percep…
Temporally coherent video anonymization through GAN inpainting
Thangapavithraa Balaji, Patrick Blies, Georg Göri +3
This work tackles the problem of temporally coherent face anonymization in natural video streams.We propose JaGAN, a two-stage system starting with detecting and masking out faces…