Fatemeh Pesaran zadeh

Hello! I am a 2nd year Master's student at Seoul National University, Computer Science department, Vision & learning lab, advised by Gunhee Kim. My research interests lie in solving difficult problems in Large Language Models (LLMs) and Vision-Language Models (VLMs) and optimizing them using reinforcement learning. I have worked on designing challenging multimodal tasks and developing optimization algorithm to solve them. I completed my Bachelors in Computer Science from Seoul National University in 2022.

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We propose a hierarchical pipeline and a new dataset for chart generation. Moreover, we introducea reinforcement learning-based instruction tuning technique for chart generation tasks without requiring human feedback.

We present mRedditSum, the first multimodal discussion summarization dataset. It consists of 3,033 discussion threads where a post solicits advice regarding an issue described with an image and text, and respective comments express diverse opinions.

We propose developing an AI-assisted CCTV system that enhances surveillance with anomaly detection and face tracking, using INNODEP-provided videos.

We developed a brand detection model using YOLOv5 to detect brands in South Korea. We collected a dataset of 8.4K images of brands in South Korea and trained a YOLOv5 model to detect them.

Template based on Jon Barron's website.