Mohammad Reza Taesiri

I am currently a second third-year Ph.D. student at the University of Alberta in Edmonton, focusing on the intersection of computer vision, explainable machine learning, and video games.

Email / CV / Google Scholar / Twitter / Sketchfab / Youtube / Hugging Face / Wandb / Github / Hobby Projects

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

	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 [Website] [Model] [Dataset]
	Vision language models are blind Pooyan Rahmanzadehgervi, Logan Bolton, Mohammad Reza Taesiri, and Anh Nguyen Asian Conference on Computer Vision (ACCV), 2024 [Website] [Code] [Dataset]
	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]
	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]
	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]
	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]
	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]

Website design by Jon Barron.