10 citations · 23 across the 5 of their papers we have counts for
5 papers
VL-Mamba: Exploring State Space Models for Multimodal Learning
Yanyuan Qiao, Zheng Yu, Longteng Guo +5
Multimodal large language models (MLLMs) have attracted widespread interest and have rich applications. However, the inherent attention mechanism in its Transformer structure requi…
VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation
Yanyuan Qiao, Zheng Yu, Qi Wu
The performance of the Vision-and-Language Navigation~(VLN) tasks has witnessed rapid progress recently thanks to the use of large pre-trained vision-and-language models. However,…
March in Chat: Interactive Prompting for Remote Embodied Referring Expression
Yanyuan Qiao, Yuankai Qi, Zheng Yu +2
Many Vision-and-Language Navigation (VLN) tasks have been proposed in recent years, from room-based to object-based and indoor to outdoor. The REVERIE (Remote Embodied Referring Ex…
HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation
Yanyuan Qiao, Yuankai Qi, Yicong Hong +3
Pre-training has been adopted in a few of recent works for Vision-and-Language Navigation (VLN). However, previous pre-training methods for VLN either lack the ability to predict f…
Vatex Video Captioning Challenge 2020: Multi-View Features and Hybrid Reward Strategies for Video Captioning
Xinxin Zhu, Longteng Guo, Peng Yao +3
This report describes our solution for the VATEX Captioning Challenge 2020, which requires generating descriptions for the videos in both English and Chinese languages. We identifi…