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researcher

Xiao Liu

19 papers hereh-index 203.8k citations25 works total

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

author position
  • first author2
  • middle author17

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CV19
same name
  • Xiao Liu — 38 papers, h 36
  • Xiao Liu — 19 papers, h 13
  • Xiao Liu — 17 papers, h 14
  • Xiao Liu — 16 papers, h 16
  • Xiao Liu — 13 papers, h 12
  • Xiao Liu — 12 papers, h 12

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
20162021
most citedImage Inpainting by End-to-End Cascaded Refinement with Mask Awareness

140 citations · 599 across the 19 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 23 cited

StNet: Local and Global Spatial-Temporal Modeling for Action Recognition

Dongliang He, Zhichao Zhou, Chuang Gan +5

Despite the success of deep learning for static image understanding, it remains unclear what are the most effective network architectures for the spatial-temporal modeling in video…

cs.CV2018★ 2 cited

Fine-grained Video Categorization with Redundancy Reduction Attention

Chen Zhu, Xiao Tan, Feng Zhou +4

For fine-grained categorization tasks, videos could serve as a better source than static images as videos have a higher chance of containing discriminative patterns. Nevertheless,…

cs.CV2018★ 1 cited

Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories

Yaming Wang, Xiao Tan, Yi Yang +4

Existing 3D pose datasets of object categories are limited to generic object types and lack of fine-grained information. In this work, we introduce a new large-scale dataset that c…

cs.CV2018★ 4 cited

3D Pose Estimation for Fine-Grained Object Categories

Yaming Wang, Xiao Tan, Yi Yang +4

Existing object pose estimation datasets are related to generic object types and there is so far no dataset for fine-grained object categories. In this work, we introduce a new lar…

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