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Andrew Tao

58 papers hereh-index 3112.6k citations67 works total

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

author position
  • first author1
  • middle author52
  • last author3

Across the 56 of 58 papers where every author was matched, so the position is known.

fields
  • cs.CV40
  • cs.CL11
  • cs.LG5
  • eess.AS1
  • eess.IV1
same name
  • Andrew Tao — 2 papers, h 1
  • Andrew Tao — 1 paper
  • Andrew Tao — 1 paper
  • Andrew Tao — 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
20172026
most citedHierarchical Multi-Scale Attention for Semantic Segmentation

347 citations · 449 across the 43 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 6 cited

Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter

Guilin Liu, Rohan Taori, Ting-Chun Wang +6

Conventional CNNs for texture synthesis consist of a sequence of (de)-convolution and up/down-sampling layers, where each layer operates locally and lacks the ability to capture th…

cs.CV2020★ 347 cited

Hierarchical Multi-Scale Attention for Semantic Segmentation

Andrew Tao, Karan Sapra, Bryan Catanzaro

Multi-scale inference is commonly used to improve the results of semantic segmentation. Multiple images scales are passed through a network and then the results are combined with a…

cs.CV2020

Panoptic-based Image Synthesis

Aysegul Dundar, Karan Sapra, Guilin Liu +2

Conditional image synthesis for generating photorealistic images serves various applications for content editing to content generation. Previous conditional image synthesis algorit…

cs.CV2020

Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos

Aysegul Dundar, Kevin J. Shih, Animesh Garg +3

Unsupervised landmark learning is the task of learning semantic keypoint-like representations without the use of expensive input keypoint-level annotations. A popular approach is t…

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