Publications: Multiple papers accepted at NeurIPS 2025, ECCV 2024, IEEE TPAMI, etc.; Organizing Activities: Co-organized several workshops on explainable computer vision; Awards: Selected as a Top Reviewer for NeurIPS 2023 and an Outstanding Reviewer for CVPR 2023.
Research Experience
PhD Student at the Computer Vision and Machine Learning Group, Max Planck Institute for Informatics; Applied Scientist Intern at Amazon; Intern at the Machine Intelligence Laboratory, The University of Tokyo, working on visual relationship detection; Intern at Bosch, working on classification of fundus images using deep learning.
Education
PhD: Max Planck Institute for Informatics, Computer Vision and Machine Learning Group, supervised by Prof. Bernt Schiele; PhD preparatory phase: Max Planck Graduate Center for Computer and Information Science, working on improving adversarial robustness of image classifiers against adversarial patch attacks; B.Tech.: Indian Institute of Technology Hyderabad, Computer Science and Engineering, with the President of India Gold Medal, supervised by Prof. Vineeth N Balasubramanian, Prof. Saurabh Joshi, and Prof. Ruben Martins.
Background
Research Interests: Understanding the inner workings of deep neural networks and using this understanding to build trustworthy vision, language, and vision-language models. Professional Field: Computer Vision and Machine Learning.