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Mohammad Reza Taesiri
I recently graduated with a PhD from the University of
Alberta in Edmonton, where I focused 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 Papers
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HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs
Tin Nguyen,
Logan Bolton,
Mohammad Reza Taesiri, and
Anh Nguyen
ArXiv Preprint, 2025
[Website]
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ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models
Jonathan Roberts,
Mohammad Reza Taesiri, and
Others
ArXiv Preprint, 2025
[Website]
[Github]
[Dataset]
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VideoGameBunny: Towards vision assistants for video games
Mohammad Reza Taesiri, and
Cor-Paul Bezemer,
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, (Oral
Presentation)
[Website]
[Model]
[Dataset]
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Vision language models are blind
Pooyan Rahmanzadehgervi,
Logan Bolton,
Mohammad Reza Taesiri, and
Anh Nguyen
Asian Conference on Computer Vision (ACCV), 2024, (Oral
Presentation)
[Website]
[Code]
[Dataset]
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PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image
Classification Accuracy for AIs and Humans
Giang Nguyen,
Valerie Chen,
Mohammad Reza Taesiri, and
Anh Nguyen
Transactions on Machine Learning Research (TMLR), 2024
[Website]
[Github]
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GlitchBench: Can large multimodal models detect
video game glitches?
Mohammad Reza Taesiri,
Tianjun Feng,
Anh Nguyen
Cor-Paul Bezemer,
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Website]
[Code]
[Dataset]
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Allowing humans to interactively guide machines where to look does not always improve a
human-AI team's classification
accuracy
Giang Nguyen,
Mohammad Reza Taesiri,
Sunnie S. Y. Kim, and
Anh Nguyen
CVPR Explainable AI for Computer Vision Workshop, 2024
[Github]
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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
Conference on Neural Information Processing Systems
(NeurIPS), 2023
[Website]
[Code]
[Dataset]
[Dataset-4K]
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Visual correspondence-based explanations
improve AI robustness and human-AI team
accuracy
Mohammad Reza Taesiri
*,
Giang Nguyen*,
Anh Nguyen
(* denotes equal contribution)
Conference on Neural Information Processing Systems
(NeurIPS), 2022
[Website]
[Live Demo]
[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]
[Live 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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