Hamidreza Yaghoubi Araghi — accepted AI-conference papers

2025

Quantifying and Modeling Driving Styles in Trajectory Forecasting

Laura Zheng, Hamidreza Yaghoubi Araghi, Tony Wu, Sandeep Thalapanane, Tianyi Zhou, Ming C. Lin

IROS 2025

Trajectory forecasting has become a popular deep learning task due to its relevance for scenario simulation for autonomous driving. Specifically, trajectory forecasting predicts the trajectory of a short-horizon future for specific human drivers in a particular traffic scenario. Robust and accurate

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2024

Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation

Fahimeh Hosseini Noohdani, Parsa Hosseini, Aryan Yazdan Parast, Hamidreza Yaghoubi Araghi, Mahdieh Soleymani Baghshah

CVPR 2024poster

While standard Empirical Risk Minimization (ERM) training is proven effective for image classification on in-distribution data it fails to perform well on out-of-distribution samples. One of the main sources of distribution shift for image classification is the compositional nature of images. Specif…

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