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Tang Kun

4 papers here

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
  • q-bio.PE1
ORCID 0000-0002-8909-8467

identity via Semantic Scholar / OpenAlex

most citedLATR: 3D Lane Detection from Monocular Images with Transformer

3 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 3 cited

Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape Matching

Zhihao Guan, Ruixin Liu, Zejian Yuan +6

As one of the basic while vital technologies for HD map construction, 3D lane detection is still an open problem due to varying visual conditions, complex typologies, and strict de…

q-bio.PE2023

How enlightened self-interest guided global vaccine sharing benefits all: a modelling study

Zhenyu Han, Qianyue Hao, Qiwei He +4

Background: Despite the consensus that vaccines play an important role in combating the global spread of infectious diseases, vaccine inequity is still rampant with deep-seated men…

cs.CV2023★ 3 cited

LATR: 3D Lane Detection from Monocular Images with Transformer

Yueru Luo, Chaoda Zheng, Xu Yan +4

3D lane detection from monocular images is a fundamental yet challenging task in autonomous driving. Recent advances primarily rely on structural 3D surrogates (e.g., bird's eye vi…

cs.LG2023★ 1 cited

Mitigating Transformer Overconfidence via Lipschitz Regularization

Wenqian Ye, Yunsheng Ma, Xu Cao +1

Though Transformers have achieved promising results in many computer vision tasks, they tend to be over-confident in predictions, as the standard Dot Product Self-Attention (DPSA)…

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