Zahra Babaiee

According to our database, Zahra Babaiee authored at least 16 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models.

Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu

CoRR, June, 2025

Scalable Offline Reinforcement Learning for Mean Field Games.

Axel Brunnbauer, Julian Lemmel, Zahra Babaiee, Sophie A. Neubauer, Radu Grosu

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

The Master Key Filters Hypothesis: Deep Filters Are General.

Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

The Master Key Filters Hypothesis: Deep Filters Are General in DS-CNNs.

Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu

CoRR, 2024

Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game.

Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Simon Spohn, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu

CoRR, 2024

Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields.

Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels.

Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Prediction of Tourism Flow with Sparse Geolocation Data.

Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer

CoRR, 2023

Investigation and benchmarking of U-Nets on prostate segmentation tasks.

Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Matthias Benndorf, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu

Comput. Medical Imaging Graph., 2023

2022

IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels.

Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu

CoRR, 2022

Pruning by Active Attention Manipulation.

Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu

CoRR, 2022

Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data.

Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer

CoRR, 2022

Entangled Residual Mappings.

Mathias Lechner, Ramin M. Hasani, Zahra Babaiee, Radu Grosu, Daniela Rus, Thomas A. Henzinger, Sepp Hochreiter

CoRR, 2022

End-to-End Sensitivity-Based Filter Pruning.

Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu

CoRR, 2022

2021

3D-OOCS: Learning Prostate Segmentation with Inductive Bias.

Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca L. Grosu, Radu Grosu

CoRR, 2021

On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification.

Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu

Proceedings of the 38th International Conference on Machine Learning, 2021