173 citations · 411 across the 52 of their papers we have counts for
52 papers
P-RAG: Progressive Retrieval Augmented Generation For Planning on Embodied Everyday Task
Weiye Xu, Min Wang, Wengang Zhou +1
Embodied Everyday Task is a popular task in the embodied AI community, requiring agents to make a sequence of actions based on natural language instructions and visual observations…
AdaptVision: Dynamic Input Scaling in MLLMs for Versatile Scene Understanding
Yonghui Wang, Wengang Zhou, Hao Feng +1
Over the past few years, the advancement of Multimodal Large Language Models (MLLMs) has captured the wide interest of researchers, leading to numerous innovations to enhance MLLMs…
LaneTCA: Enhancing Video Lane Detection with Temporal Context Aggregation
Keyi Zhou, Li Li, Wengang Zhou +3
In video lane detection, there are rich temporal contexts among successive frames, which is under-explored in existing lane detectors. In this work, we propose LaneTCA to bridge th…
Progressive Multi-modal Conditional Prompt Tuning
Xiaoyu Qiu, Hao Feng, Yuechen Wang +2
Pre-trained vision-language models (VLMs) have shown remarkable generalization capabilities via prompting, which leverages VLMs as knowledge bases to extract information beneficial…
TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding
Bozhi Luan, Hao Feng, Hong Chen +3
The advent of Large Multimodal Models (LMMs) has sparked a surge in research aimed at harnessing their remarkable reasoning abilities. However, for understanding text-rich images,…
Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator
Xiaoyu Qiu, Yuechen Wang, Jiaxin Shi +2
Based on multilingual pre-trained models, cross-lingual transfer with prompt learning has shown promising effectiveness, where soft prompt learned in a source language is transferr…