21 citations · 90 across the 17 of their papers we have counts for
8 papers · 1 filter
NExT-Chat: An LMM for Chat, Detection and Segmentation
Ao Zhang, Yuan Yao, Wei Ji +2
The development of large language models (LLMs) has greatly advanced the field of multimodal understanding, leading to the emergence of large multimodal models (LMMs). In order to…
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching
Meng Chu, Zhedong Zheng, Wei Ji +2
Navigating drones through natural language commands remains challenging due to the dearth of accessible multi-modal datasets and the stringent precision requirements for aligning v…
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions
Juncheng Li, Kaihang Pan, Zhiqi Ge +7
Recent advancements in Multimodal Large Language Models (MLLMs) have been utilizing Visual Prompt Generators (VPGs) to convert visual features into tokens that LLMs can recognize.…
Two Heads Are Better Than One: Improving Fake News Video Detection by Correlating with Neighbors
Peng Qi, Yuyang Zhao, Yufeng Shen +3
The prevalence of short video platforms has spawned a lot of fake news videos, which have stronger propagation ability than textual fake news. Thus, automatically detecting fake ne…
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…
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…
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…
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models
Juncheng Li, Minghe Gao, Longhui Wei +7
Prompt tuning, a recently emerging paradigm, enables the powerful vision-language pre-training models to adapt to downstream tasks in a parameter -- and data -- efficient way, by l…