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Hao Shi

12 papers hereh-index 557 citations15 works total

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

author position
  • first author1
  • middle author11

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

fields
  • cs.CV11
  • cs.RO1
same name
  • Hao Shi — 37 papers, h 20
  • Hao Shi — 14 papers, h 5
  • Hao Shi — 8 papers, h 7
  • Hao Shi — 8 papers, h 1
  • Hao Shi — 7 papers, h 4
  • Hao Shi — 7 papers, h 5

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
20242026
most citedGenMapping: Unleashing the Potential of Inverse Perspective Mapping for Robust Online HD Map Construction

1 citations · 1 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024★ 1 cited

GenMapping: Unleashing the Potential of Inverse Perspective Mapping for Robust Online HD Map Construction

Siyu Li, Kailun Yang, Hao Shi +3

Online High-Definition (HD) maps have emerged as the preferred option for autonomous driving, overshadowing the counterpart offline HD maps due to flexible update capability and lo…

cs.CV2024

Occlusion-Aware Seamless Segmentation

Yihong Cao, Jiaming Zhang, Hao Shi +5

Panoramic images can broaden the Field of View (FoV), occlusion-aware prediction can deepen the understanding of the scene, and domain adaptation can transfer across viewing domain…

cs.CV2024

Label-efficient Semantic Scene Completion with Scribble Annotations

Song Wang, Jiawei Yu, Wentong Li +4

Semantic scene completion aims to infer the 3D geometric structures with semantic classes from camera or LiDAR, which provide essential occupancy information in autonomous driving.…

cs.CV2024

DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction

Siyu Li, Jiacheng Lin, Hao Shi +5

Temporal information plays a pivotal role in Bird's-Eye-View (BEV) driving scene understanding, which can alleviate the visual information sparsity. However, the indiscriminate tem…

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