activity
20192025
most citedVideo Is Graph: Structured Graph Module for Video Action Recognition

7 citations · 8 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

8 papers · 1 filter

cs.CV2024

Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation

Tao Liu, Rongjie Li, Chongyu Wang +1

Open-vocabulary Scene Graph Generation (OV-SGG) overcomes the limitations of the closed-set assumption by aligning visual relationship representations with open-vocabulary textual…

cs.CV2024

From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models

Rongjie Li, Songyang Zhang, Dahua Lin +2

Scene graph generation (SGG) aims to parse a visual scene into an intermediate graph representation for downstream reasoning tasks. Despite recent advancements, existing methods st…

cs.CV2024

Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning

Rongjie Li, Yu Wu, Xuming He

Generative vision-language models (VLMs) have shown impressive performance in zero-shot vision-language tasks like image captioning and visual question answering. However, improvin…

cs.CV2024

SGTR+: End-to-end Scene Graph Generation with Transformer

Rongjie Li, Songyang Zhang, Xuming He

Scene Graph Generation (SGG) remains a challenging visual understanding task due to its compositional property. Most previous works adopt a bottom-up, two-stage or point-based, one…

cs.CV2021★ 1 cited

SGTR: End-to-end Scene Graph Generation with Transformer

Rongjie Li, Songyang Zhang, Xuming He

Scene Graph Generation (SGG) remains a challenging visual understanding task due to its compositional property. Most previous works adopt a bottom-up two-stage or a point-based one…

cs.CV2021★ 7 cited

Video Is Graph: Structured Graph Module for Video Action Recognition

Rongchang Li, Xiao-Jun Wu, Tianyang Xu

In the field of action recognition, video clips are always treated as ordered frames for subsequent processing. To achieve spatio-temporal perception, existing approaches propose t…