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researcher

Xu Yan

12 papers hereh-index 91.1k citations18 works total

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

author position
  • first author2
  • middle author10

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV12
same name
  • Xu Yan — 44 papers
  • Xu Yan — 22 papers, h 14
  • Xu Yan — 17 papers, h 8
  • Xu Yan — 15 papers, h 6
  • Xu Yan — 11 papers, h 13
  • Xu Yan — 4 papers, h 4

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
20202026
most citedToward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases

6 citations · 7 across the 10 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022

Geometry-Aware Network for Domain Adaptive Semantic Segmentation

Yinghong Liao, Wending Zhou, Xu Yan +3

Measuring and alleviating the discrepancies between the synthetic (source) and real scene (target) data is the core issue for domain adaptive semantic segmentation. Though recent w…

cs.CV2022★ 1 cited

M2-3DLaneNet: Exploring Multi-Modal 3D Lane Detection

Yueru Luo, Xu Yan, Chaoda Zheng +5

Estimating accurate lane lines in 3D space remains challenging due to their sparse and slim nature. Previous works mainly focused on using images for 3D lane detection, leading to…

cs.CV2022★ 6 cited

Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases

Zhihao Yuan, Xu Yan, Zhuo Li +4

Recent progress in 3D scene understanding has explored visual grounding (3DVG) to localize a target object through a language description. However, existing methods only consider t…

cs.CV2022

X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning

Zhihao Yuan, Xu Yan, Yinghong Liao +4

3D dense captioning aims to describe individual objects by natural language in 3D scenes, where 3D scenes are usually represented as RGB-D scans or point clouds. However, only expl…

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