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Yibing Song

47 papers hereh-index 3910.8k citations75 works total

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

author position
  • first author6
  • middle author41

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

fields
  • cs.CV45
  • cs.LG1
  • math.CO1
same name
  • Yibing Song — 6 papers, h 7
  • Yibing Song — 4 papers, h 4
  • Yibing Song — 3 papers, h 2
  • Yibing Song — 3 papers, h 2
  • Yibing Song — 2 papers, h 2
  • Yibing Song — 2 papers, h 1

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
20132023
most citedVideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

441 citations · 1.5k across the 47 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 6 cited

Rethinking Image Deraining via Rain Streaks and Vapors

Yinglong Wang, Yibing Song, Chao Ma +1

Single image deraining regards an input image as a fusion of a background image, a transmission map, rain streaks, and atmosphere light. While advanced models are proposed for imag…

cs.CV2020★ 2 cited

Robust Tracking against Adversarial Attacks

Shuai Jia, Chao Ma, Yibing Song +1

While deep convolutional neural networks (CNNs) are vulnerable to adversarial attacks, considerably few efforts have been paid to construct robust deep tracking algorithms against…

cs.CV2020★ 7 cited

Unsupervised Deep Representation Learning for Real-Time Tracking

Ning Wang, Wengang Zhou, Yibing Song +3

The advancement of visual tracking has continuously been brought by deep learning models. Typically, supervised learning is employed to train these models with expensive labeled da…

cs.CV2020★ 28 cited

Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations

Hongyu Liu, Bin Jiang, Yibing Song +2

Deep encoder-decoder based CNNs have advanced image inpainting methods for hole filling. While existing methods recover structures and textures step-by-step in the hole regions, th…

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