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Yapeng Tian

43 papers hereh-index 3111.6k citations66 works total

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

author position
  • first author6
  • middle author29
  • last author7

Across the 42 of 43 papers where every author was matched, so the position is known.

fields
  • cs.CV34
  • eess.IV4
  • cs.SD3
  • cs.HC1
  • cs.MM1
same name
  • Yapeng Tian — 13 papers, h 6
  • Yapeng Tian — 10 papers, h 6
  • Yapeng Tian — 7 papers, h 7
  • Yapeng Tian — 6 papers, h 4
  • Yapeng Tian — 5 papers, h 4
  • Yapeng Tian — 4 papers, h 4

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 citedDeep Learning for Single Image Super-Resolution: A Brief Review

1.2k citations · 1.8k across the 43 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 1 cited

Space-Time Memory Network for Sounding Object Localization in Videos

Sizhe Li, Yapeng Tian, Chenliang Xu

Leveraging temporal synchronization and association within sight and sound is an essential step towards robust localization of sounding objects. To this end, we propose a space-tim…

cs.CV2021★ 7 cited

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution

Xiaoyu Xiang, Yapeng Tian, Yulun Zhang +3

In this paper, we address the space-time video super-resolution, which aims at generating a high-resolution (HR) slow-motion video from a low-resolution (LR) and low frame rate (LF…

cs.CV2021★ 3 cited

Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation

Yapeng Tian, Di Hu, Chenliang Xu

There are rich synchronized audio and visual events in our daily life. Inside the events, audio scenes are associated with the corresponding visual objects; meanwhile, sounding obj…

cs.CV2021★ 1 cited

Can audio-visual integration strengthen robustness under multimodal attacks?

Yapeng Tian, Chenliang Xu

In this paper, we propose to make a systematic study on machines multisensory perception under attacks. We use the audio-visual event recognition task against multimodal adversaria…

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