Sule Bai | 白苏乐

Hi! I'm a second-year master student in Tsinghua University Shenzhen International Graduate School, supervised by Prof. Yansong Tang. Before that, I received my bachelor's degree from the School of Computer Science and Technology in the Beijing University of Posts and Telecommunications in 2023.

My currect research interest lies in open-vocabulary segmentation, vision-language models and video understanding.

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We propose UniVG-R1, a reasoning-guided MLLM for universal visual grounding, which leverages reinforcement learning to enhance reasoning across complex multi-image and multi-modal scenarios.

We propose a training-free method that enhances CLIP's dense representation through self-calibration without introducing new parameters or relying on additional backbones.

We propose an open-vocabulary segmentation (OVS) method by calibrating in-vocabulary and domain-biased embedding space with generalized contextual prior of CLIP.

We investigate a new problem called narrative action evaluation (NAE) and propose a prompt-guided multimodal interaction framework.