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Ying Shan

84 papers hereh-index 4814.1k citations106 works total

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

author position
  • middle author46
  • last author32

Across the 78 of 84 papers where every author was matched, so the position is known.

fields
  • cs.CV75
  • cs.IR2
  • cs.LG2
  • cs.SD2
  • eess.IV2
  • cs.CL1
same name
  • Ying Shan — 35 papers, h 24
  • Ying Shan — 19 papers, h 19
  • Ying Shan — 15 papers, h 15
  • Ying Shan — 10 papers
  • Ying Shan — 10 papers, h 7
  • Ying Shan — 6 papers, h 8

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
20202023
most citedReal-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

85 citations · 594 across the 81 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.LG2020★ 1 cited

Towards Interaction Detection Using Topological Analysis on Neural Networks

Zirui Liu, Qingquan Song, Kaixiong Zhou +3

Detecting statistical interactions between input features is a crucial and challenging task. Recent advances demonstrate that it is possible to extract learned interactions from tr…

cs.CV2020★ 5 cited

A Simple Yet Effective Method for Video Temporal Grounding with Cross-Modality Attention

Binjie Zhang, Yu Li, Chun Yuan +3

The task of language-guided video temporal grounding is to localize the particular video clip corresponding to a query sentence in an untrimmed video. Though progress has been made…

cs.CV2020★ 29 cited

Dual Semantic Fusion Network for Video Object Detection

Lijian Lin, Haosheng Chen, Honglun Zhang +4

Video object detection is a tough task due to the deteriorated quality of video sequences captured under complex environments. Currently, this area is dominated by a series of feat…

cs.CV2020★ 8 cited

Fast Video Object Segmentation using the Global Context Module

Yu Li, Zhuoran Shen, Ying Shan

We developed a real-time, high-quality semi-supervised video object segmentation algorithm. Its accuracy is on par with the most accurate, time-consuming online-learning model, whi…

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