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20212024
most citedVision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models

3 citations · 7 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024★ 1 cited

SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Models

Yue Zhang, Zhiyang Xu, Ying Shen +2

Integrating the 3D world into large language models (3D-based LLMs) has been a promising research direction for 3D scene understanding. However, current 3D-based LLMs fall short in…

cs.CV2024

Narrowing the Gap between Vision and Action in Navigation

Yue Zhang, Parisa Kordjamshidi

The existing methods for Vision and Language Navigation in the Continuous Environment (VLN-CE) commonly incorporate a waypoint predictor to discretize the environment. This simplif…

cs.CL2024★ 3 cited

Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models

Yue Zhang, Ziqiao Ma, Jialu Li +6

Vision-and-Language Navigation (VLN) has gained increasing attention over recent years and many approaches have emerged to advance their development. The remarkable achievements of…

cs.CL2024

NavHint: Vision and Language Navigation Agent with a Hint Generator

Yue Zhang, Quan Guo, Parisa Kordjamshidi

Existing work on vision and language navigation mainly relies on navigation-related losses to establish the connection between vision and language modalities, neglecting aspects of…

cs.CV2024

Common Sense Reasoning for Deepfake Detection

Yue Zhang, Ben Colman, Xiao Guo +2

State-of-the-art deepfake detection approaches rely on image-based features extracted via neural networks. While these approaches trained in a supervised manner extract likely fake…