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Tianwei Lin

25 papers hereh-index 245.2k citations41 works total

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

author position
  • first author6
  • middle author15
  • last author3

Across the 24 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV24
  • eess.IV1
same name
  • Tianwei Lin — 20 papers, h 6
  • Tianwei Lin — 16 papers, h 9
  • Tianwei Lin — 2 papers, h 2
  • Tianwei Lin — 1 paper

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
20172023
most citedSingle Shot Temporal Action Detection

380 citations · 745 across the 24 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 2 cited

Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization

Haisheng Su, Xu Zhao, Tianwei Lin

Weakly supervised temporal action localization, which aims at temporally locating action instances in untrimmed videos using only video-level class labels during training, is an im…

cs.CV2018★ 1 cited

Discriminative Representation Combinations for Accurate Face Spoofing Detection

Xiao Song, Xu Zhao, Liangji Fang +1

Three discriminative representations for face presentation attack detection are introduced in this paper. Firstly we design a descriptor called spatial pyramid coding micro-texture…

cs.CV2018★ 96 cited

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

Tianwei Lin, Xu Zhao, Haisheng Su +2

Temporal action proposal generation is an important yet challenging problem, since temporal proposals with rich action content are indispensable for analysing real-world videos wit…

cs.CV2018★ 16 cited

Face Spoofing Detection by Fusing Binocular Depth and Spatial Pyramid Coding Micro-Texture Features

Xiao Song, Xu Zhao, Tianwei Lin

Robust features are of vital importance to face spoofing detection, because various situations make feature space extremely complicated to partition. Thus in this paper, two novel…

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