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Feng Yang

20 papers hereh-index 184.6k citations30 works total

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

author position
  • middle author14
  • last author6

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CV13
  • eess.IV4
  • cs.MM2
  • cs.IT1
same name
  • Feng Yang — 32 papers, h 24
  • Feng Yang — 9 papers, h 6
  • Feng Yang — 9 papers, h 4
  • Feng Yang — 7 papers, h 16
  • Feng Yang — 7 papers, h 7
  • Feng Yang — 6 papers, 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
20192026
most citedAnalysis and Optimization of Outage Probability in Multi-Intelligent Reflecting Surface-Assisted Systems

51 citations · 166 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 3 cited

Soundini: Sound-Guided Diffusion for Natural Video Editing

Seung Hyun Lee, Sieun Kim, Innfarn Yoo +6

We propose a method for adding sound-guided visual effects to specific regions of videos with a zero-shot setting. Animating the appearance of the visual effect is challenging beca…

cs.CV2023

MRET: Multi-resolution Transformer for Video Quality Assessment

Junjie Ke, Tianhao Zhang, Yilin Wang +2

No-reference video quality assessment (NR-VQA) for user generated content (UGC) is crucial for understanding and improving visual experience. Unlike video recognition tasks, VQA ta…

cs.CV2023★ 2 cited

VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining

Junjie Ke, Keren Ye, Jiahui Yu +3

Assessing the aesthetics of an image is challenging, as it is influenced by multiple factors including composition, color, style, and high-level semantics. Existing image aesthetic…

cs.CV2023★ 11 cited

SVDiff: Compact Parameter Space for Diffusion Fine-Tuning

Ligong Han, Yinxiao Li, Han Zhang +3

Diffusion models have achieved remarkable success in text-to-image generation, enabling the creation of high-quality images from text prompts or other modalities. However, existing…

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