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Shuming Hu

3 accepted papers

2025

MLLM-as-a-Judge for Image Safety without Human Labeling

CVPR 2025highlight

Image content safety has become a significant challenge with the rise of visual media on online platforms. Meanwhile, in the age of AI-generated content (AIGC), many image generation models are capable of producing harmful content, such as images containing sexual or violent material. Thus, it becom…

Cited by 2SourcePDFScholar
2025

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

NeurIPS 2025spotlight

Vision-language models are integral to computer vision research, yet many high-performing models remain closed-source, obscuring their data, design and training recipe. The research community has responded by using distillation from black-box models to label training data, achieving strong benchmark…

Cited by 0SourcecodeScholar
2025

ReferSplat: Referring Segmentation in 3D Gaussian Splatting

ICML 2025oral

We introduce Referring 3D Gaussian Splatting Segmentation (R3DGS), a new task that aims to segment target objects in a 3D Gaussian scene based on natural language descriptions, which often contain spatial relationships or object attributes. This task requires the model to identify newly described o…