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Yue Zhang

michigan state university

9 papers hereh-index 9322 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author1

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV4
  • cs.LG1
affiliations
  • michigan state university
Homepage
same name
  • Yue Zhang — 76 papers, h 33
  • Yue Zhang — 65 papers, h 49
  • Yue Zhang — 38 papers, h 62
  • Yue Zhang — 22 papers, h 8
  • Yue Zhang — 21 papers, h 4
  • Yue Zhang — 18 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
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

collaborators
Showing cs.CVShow all

4 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.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…

cs.CV2022★ 1 cited

LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation

Yue Zhang, Parisa Kordjamshidi

Understanding spatial and visual information is essential for a navigation agent who follows natural language instructions. The current Transformer-based VLN agents entangle the or…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.