activity
20202024
most citedNExT-GPT: Any-to-Any Multimodal LLM

95 citations · 659 across the 48 of their papers we have counts for

collaborators
Showing 2023 · cs.CVShow all

6 papers · 2 filters

cs.CV2023★ 7 cited

LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation

Leigang Qu, Shengqiong Wu, Hao Fei +2

In the text-to-image generation field, recent remarkable progress in Stable Diffusion makes it possible to generate rich kinds of novel photorealistic images. However, current mode…

cs.CV2023★ 16 cited

Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling

Yu Zhao, Hao Fei, Yixin Cao +5

Video Semantic Role Labeling (VidSRL) aims to detect the salient events from given videos, by recognizing the predict-argument event structures and the interrelationships between e…

cs.CV2023★ 21 cited

Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment

Shengqiong Wu, Hao Fei, Wei Ji +1

Unpaired cross-lingual image captioning has long suffered from irrelevancy and disfluency issues, due to the inconsistencies of the semantic scene and syntax attributes during tran…

cs.CV2023★ 7 cited

Generating Visual Spatial Description via Holistic 3D Scene Understanding

Yu Zhao, Hao Fei, Wei Ji +4

Visual spatial description (VSD) aims to generate texts that describe the spatial relations of the given objects within images. Existing VSD work merely models the 2D geometrical v…

cs.CV2023★ 21 cited

Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling

Shengqiong Wu, Hao Fei, Yixin Cao +2

Existing research on multimodal relation extraction (MRE) faces two co-existing challenges, internal-information over-utilization and external-information under-exploitation. To co…

cs.CV2023★ 5 cited

VPGTrans: Transfer Visual Prompt Generator across LLMs

Ao Zhang, Hao Fei, Yuan Yao +4

While developing a new multimodal LLM (MLLM) by pre-training on tremendous image-text pairs from scratch can be exceedingly resource-consuming, connecting an existing LLM with a co…