1 citations · 1 across the 5 of their papers we have counts for
5 papers
Real-Time Evaluation of Autonomous Systems under Adversarial Attacks
Adithya Mohan, Xujun Xie, Venkatesh Thirugnana Sambandham +1
Most evaluations of autonomous driving policies under adversarial conditions are conducted in simulation, due to cost efficiency and the absence of physical risk. However, purely v…
Embedding Arithmetic: A Lightweight, Tuning-Free Framework for Post-hoc Bias Mitigation in Text-to-Image Models
Venkatesh Thirugnana Sambandham, Torsten Schön
Modern text-to-image (T2I) models amplify harmful societal biases, challenging their ethical deployment. We introduce an inference-time method that reliably mitigates social bias w…
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…
DrivIng: A Large-Scale Multimodal Driving Dataset with Full Digital Twin Integration
Dominik Rößle, Xujun Xie, Adithya Mohan +3
Perception is a cornerstone of autonomous driving, enabling vehicles to understand their surroundings and make safe, reliable decisions. Developing robust perception algorithms req…
Towards Transformer-based Homogenization of Satellite Imagery for Landsat-8 and Sentinel-2
Venkatesh Thirugnana Sambandham, Konstantin Kirchheim, Sayan Mukhopadhaya +1
Landsat-8 (NASA) and Sentinel-2 (ESA) are two prominent multi-spectral imaging satellite projects that provide publicly available data. The multi-spectral imaging sensors of the sa…