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Mohammad Reza Taesiri
I am currently a second-year Ph.D. student at the University of
Alberta in Edmonton, focusing on the intersection of computer vision, explainable machine
learning, and video games.
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Research
I am broadly interested in computer vision and machine learning, with a focus on explainable machine
learning. I am also interested in applying Foundation models to real-world problems, such as video
game testing and quality control.
Recent Highlights
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ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and
Spatial Biases in Image Classification
aka. "Zoom is what you need: An empirical study of the power of zoom
and
spatial biases in
image classification"
Mohammad Reza Taesiri,
Giang Nguyen,
Sarra Habchi,
Cor-Paul Bezemer,
Anh Nguyen
ArXiv Preprint, 2023
[Website]
[Code]
[Dataset]
[Dataset-4K]
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Visual correspondence-based explanations improve AI robustness and human-AI team
accuracy
Giang Nguyen*, Mohammad Reza Taesiri
*, Anh Nguyen
(* denotes equal contribution)
Conference on Neural Information Processing Systems, 2022
[Website]
[Code]
[Video]
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CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot
transfer learning
Mohammad Reza Taesiri, Finlay Macklon, Cor-Paul Bezemer
The Mining Software Repositories (MSR) conference, 2022
[Website]
[Code]
[Demo]
[Dataset]
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Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors
Mohammad Reza Taesiri, Finlay Macklon, Yihe Wang, Hengshuo Shen, Cor-Paul Bezemer
ArXiv Preprint, 2022
[Website]
[Code]
[Dataset]
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