Resume
Academic Achievements
- 2025:
- - 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.