- Conference paper 'Pixel-level Certified Explanations via Randomized Smoothing' published in the Proceedings of the 42nd International Conference on Machine Learning (ICML 2025).
2024:
- Conference paper 'Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing' published in the Proceedings of the 41st International Conference on Machine Learning (ICML 2024).
Research Experience
Conducting research in the field of computer vision and machine learning at the Max Planck Institute for Informatics.
Education
Currently a PhD Student at the Max Planck Institute for Informatics, Department of Computer Vision and Machine Learning.
Background
Research interests include: People Detection, Pose Estimation and Tracking, Visual Privacy, Adversarial Robustness, Zero-Shot Learning, Generative Models, Vision and Language, Human Activity Recognition, Knowledge Transfer and Semi-supervised Learning, Weakly Supervised Learning, Image Segmentation, Video Segmentation, Object Recognition and Scene Understanding, Gaze-Based Human-Computer Interaction, 3D Reconstruction and Perception of People, Generative Models of 3D People, Human Pose Estimation from Video and IMU.