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Wayne Wu

47 papers hereh-index 327.4k citations62 works total

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

author position
  • first author4
  • middle author41
  • last author2

Across the 47 of 47 papers where every author was matched, so the position is known.

fields
  • cs.CV47
same name
  • Wayne Wu — 13 papers, h 6
  • Wayne Wu — 3 papers, h 2
  • Wayne Wu — 2 papers, h 2
  • Wayne Wu — 2 papers, h 3
  • Wayne Wu — 1 paper, h 2

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
20182023
most citedDeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

65 citations · 510 across the 47 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 11 cited

FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos

Keqiang Sun, Wayne Wu, Tinghao Liu +5

Recently, facial landmark detection algorithms have achieved remarkable performance on static images. However, these algorithms are neither accurate nor stable in motion-blurred vi…

cs.CV2019★ 6 cited

Make a Face: Towards Arbitrary High Fidelity Face Manipulation

Shengju Qian, Kwan-Yee Lin, Wayne Wu +5

Recent studies have shown remarkable success in face manipulation task with the advance of GANs and VAEs paradigms, but the outputs are sometimes limited to low-resolution and lack…

cs.CV2019★ 4 cited

Disentangling Content and Style via Unsupervised Geometry Distillation

Wayne Wu, Kaidi Cao, Cheng Li +2

It is challenging to disentangle an object into two orthogonal spaces of content and style since each can influence the visual observation differently and unpredictably. It is rare…

cs.CV2019★ 10 cited

TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation

Wayne Wu, Kaidi Cao, Cheng Li +2

Unsupervised image-to-image translation aims at learning a mapping between two visual domains. However, learning a translation across large geometry variations always ends up with…

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