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researcher

L. Yang

10 papers hereh-index 173.9k citations35 works total

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

author position
  • first author3
  • middle author6
  • last author1

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV10
same name
  • L. Yang — 181 papers, h 51
  • L. Yang — 170 papers, h 0
  • L. Yang — 45 papers, h 72
  • L. Yang — 39 papers
  • L. Yang — 21 papers, h 6
  • L. Yang — 19 papers, h 44

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
20152023
most citedYouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

295 citations · 617 across the 10 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 235 cited

Slimmable Neural Networks

Jiahui Yu, Linjie Yang, Ning Xu +2

We present a simple and general method to train a single neural network executable at different widths (number of channels in a layer), permitting instant and adaptive accuracy-eff…

cs.CV2018★ 295 cited

YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Ning Xu, Linjie Yang, Yuchen Fan +4

Learning long-term spatial-temporal features are critical for many video analysis tasks. However, existing video segmentation methods predominantly rely on static image segmentatio…

cs.CV2018★ 20 cited

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

Ning Xu, Linjie Yang, Yuchen Fan +6

Learning long-term spatial-temporal features are critical for many video analysis tasks. However, existing video segmentation methods predominantly rely on static image segmentatio…

cs.CV2018★ 39 cited

Efficient Video Object Segmentation via Network Modulation

Linjie Yang, Yanran Wang, Xuehan Xiong +2

Video object segmentation targets at segmenting a specific object throughout a video sequence, given only an annotated first frame. Recent deep learning based approaches find it ef…

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