Mohammad Reza Taesiri

Orcid: 0000-0002-8229-0325

According to our database1, Mohammad Reza Taesiri authored at least 24 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SketchVLM: Vision language models can annotate images to explain thoughts and guide users.
CoRR, April, 2026

HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs.
Trans. Mach. Learn. Res., 2026

Understanding Generative AI Capabilities in Everyday Image Editing Tasks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.
CoRR, July, 2025

Vision Language Models are Biased.
CoRR, May, 2025

HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs.
CoRR, March, 2025

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models.
CoRR, February, 2025

Videogamebunny: Towards Vision Assistants for Video Games.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

B-score: Detecting biases in large language models using response history.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Searching Bug Instances in Gameplay Video Repositories.
IEEE Trans. Games, September, 2024

PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans.
Trans. Mach. Learn. Res., 2024

Vision language models are blind.
CoRR, 2024

Allowing Humans to Interactively Guide Machines Where to Look Does Not Always Improve Human-AI Team's Classification Accuracy.
Proceedings of the 3rd Explainable AI for Computer Vision (XAI4CV) Workshop, 2024

GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Vision Language Models are blind 🕶.
Proceedings of the Computer Vision - ACCV 2024, 2024

2023
Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification.
CoRR, 2023

ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors.
CoRR, 2022

Automatically Detecting Visual Bugs in HTML5 Games.
CoRR, 2022

Visual correspondence-based explanations improve AI robustness and human-AI team accuracy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Automatically Detecting Visual Bugs in HTML5 Canvas Games.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021
Under the Skin of Foundation NFT Auctions.
CoRR, 2021


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