7 citations · 7 across the 10 of their papers we have counts for
5 papers · 1 filter
Scene Graph Generation with Role-Playing Large Language Models
Guikun Chen, Jin Li, Wenguan Wang
Current approaches for open-vocabulary scene graph generation (OVSGG) use vision-language models such as CLIP and follow a standard zero-shot pipeline -- computing similarity betwe…
Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation
Minghan Chen, Guikun Chen, Wenguan Wang +1
DETR introduces a simplified one-stage framework for scene graph generation (SGG) but faces challenges of sparse supervision and false negative samples. The former occurs because e…
Neural Clustering based Visual Representation Learning
Guikun Chen, Xia Li, Yi Yang +1
We investigate a fundamental aspect of machine vision: the measurement of features, by revisiting clustering, one of the most classic approaches in machine learning and data analys…
DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)
Zongxin Yang, Guikun Chen, Xiaodi Li +2
Recent LLM-driven visual agents mainly focus on solving image-based tasks, which limits their ability to understand dynamic scenes, making it far from real-life applications like g…
A Survey on 3D Gaussian Splatting
Guikun Chen, Wenguan Wang
3D Gaussian splatting (GS) has emerged as a transformative technique in radiance fields. Unlike mainstream implicit neural models, 3D GS uses millions of learnable 3D Gaussians for…