Welcome
I am a PhD student in the Computer Vision and Machine Learning group at the Max Planck Institute for Informatics in the Saarland Informatics Campus, supervised by Prof. Bernt Schiele. I am also an associated member of the RTG Neuroexplicit Models of Language, Vision, and Action. I am primarily interested in the explainability of deep networks in the context of computer vision: to develop techniques to understand decisions of black-box models, evaluate explanations for model-faithfulness, and to make models more interpretable.
I completed my PhD preparatory phase at the Max Planck Graduate Center for Computer and Information Science, during which I worked on improving adversarial robustness of image classifiers against adversarial patch attacks. I received my B.Tech. in Computer Science and Engineering with the President of India Gold Medal from the Indian Institute of Technology Hyderabad in August 2019. At IIT Hyderabad, I worked on projects for improving crowd-sourced vote aggregation supervised by Prof. Vineeth N Balasubramanian; and for developing state-of-the-art incomplete MaxSAT solvers with Prof. Saurabh Joshi and Prof. Ruben Martins. Within this period, I also worked as an intern in the Machine Intelligence Laboratory at The University of Tokyo under Prof. Tatsuya Harada on visual relationship detection, and at Bosch on classification of fundus images using deep learning.
News
- 07/2024: Two papers accepted at ECCV 2024!
- 07/2024: Co-organizing the 1st Explainable Computer Vision: Where are We and Where are We Going? (eXCV) Workshop at ECCV 2024. Please consider submitting your work!
- 06/2024: Co-organized the 3rd Explainable AI for Computer Vision (XAI4CV) Workshop at CVPR 2024.
- 12/2023: One paper accepted at IEEE TPAMI.
- 11/2023: Selected as a Top Reviewer for NeurIPS 2023.
- 10/2023: Served as a Student Volunteer at ICCV 2023.
- 07/2023: One paper accepted at ICCV 2023.
- 07/2023: Joined the RTG Neuroexplicit Models of Language, Vision, and Action as an associated member.
- 05/2023: Selected as an Outstanding Reviewer for CVPR 2023.
