3 citations · 6 across the 6 of their papers we have counts for
6 papers
Pushing the Boundaries of State Space Models for Image and Video Generation
Yicong Hong, Long Mai, Yuan Yao +1
While Transformers have become the dominant architecture for visual generation, linear attention models, such as the state-space models (SSM), are increasingly recognized for their…
NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models
Gengze Zhou, Yicong Hong, Zun Wang +2
Capitalizing on the remarkable advancements in Large Language Models (LLMs), there is a burgeoning initiative to harness LLMs for instruction following robotic navigation. Such a t…
Augmented Commonsense Knowledge for Remote Object Grounding
Bahram Mohammadi, Yicong Hong, Yuankai Qi +3
The vision-and-language navigation (VLN) task necessitates an agent to perceive the surroundings, follow natural language instructions, and act in photo-realistic unseen environmen…
Scaling Data Generation in Vision-and-Language Navigation
Zun Wang, Jialu Li, Yicong Hong +6
Recent research in language-guided visual navigation has demonstrated a significant demand for the diversity of traversable environments and the quantity of supervision for trainin…
Learning Navigational Visual Representations with Semantic Map Supervision
Yicong Hong, Yang Zhou, Ruiyi Zhang +4
Being able to perceive the semantics and the spatial structure of the environment is essential for visual navigation of a household robot. However, most existing works only employ…
1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022)
Dong An, Zun Wang, Yangguang Li +5
This report presents the methods of the winning entry of the RxR-Habitat Competition in CVPR 2022. The competition addresses the problem of Vision-and-Language Navigation in Contin…