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Hongyang Li

Peking University

3 papers hereh-index 233.8k citations60 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
affiliations
  • Peking University
Homepage
same name
  • Hongyang Li — 13 papers, h 23
  • Hongyang Li — 12 papers
  • Hongyang Li — 7 papers
  • Hongyang Li — 5 papers
  • Hongyang Li — 5 papers
  • Hongyang Li — 4 papers, h 7

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

most citedSOGNet: Scene Overlap Graph Network for Panoptic Segmentation

6 citations · 12 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Density-invariant Features for Distant Point Cloud Registration

Quan Liu, Hongzi Zhu, Yunsong Zhou +3

Registration of distant outdoor LiDAR point clouds is crucial to extending the 3D vision of collaborative autonomous vehicles, and yet is challenging due to small overlapping area…

cs.CV2022★ 6 cited

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision

Chenyu Yang, Yuntao Chen, Hao Tian +9

We present a novel bird's-eye-view (BEV) detector with perspective supervision, which converges faster and better suits modern image backbones. Existing state-of-the-art BEV detect…

cs.CV2022

DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation

Hongyang Li, Jiehong Lin, Kui Jia

Establishment of point correspondence between camera and object coordinate systems is a promising way to solve 6D object poses. However, surrogate objectives of correspondence lear…

cs.CV2019★ 6 cited

SOGNet: Scene Overlap Graph Network for Panoptic Segmentation

Yibo Yang, Hongyang Li, Xia Li +3

The panoptic segmentation task requires a unified result from semantic and instance segmentation outputs that may contain overlaps. However, current studies widely ignore modeling…

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