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Yong Liu

9 papers hereh-index 171.5k citations31 works total

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

author position
  • middle author8

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV4
  • cs.RO1
same name
  • Yong Liu — 49 papers, h 75
  • Yong Liu — 40 papers, h 16
  • Yong Liu — 29 papers, h 22
  • Yong Liu — 28 papers, h 14
  • Yong Liu — 24 papers, h 13
  • Yong Liu — 23 papers, h 12

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
20192022
most citedMedical Image Segmentation Using Squeeze-and-Expansion Transformers

24 citations · 43 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022★ 8 cited

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

Xiuchao Sui, Shaohua Li, Xue Geng +5

Optical flow estimation aims to find the 2D motion field by identifying corresponding pixels between two images. Despite the tremendous progress of deep learning-based optical flow…

cs.CV2021

Few-Shot Domain Adaptation with Polymorphic Transformers

Shaohua Li, Xiuchao Sui, Jie Fu +7

Deep neural networks (DNNs) trained on one set of medical images often experience severe performance drop on unseen test images, due to various domain discrepancy between the train…

cs.CV2020

Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations

Shaohua Li, Xiuchao Sui, Jie Fu +2

Convolutional Neural Networks (CNNs) are known to be brittle under various image transformations, including rotations, scalings, and changes of lighting conditions. We observe that…

cs.CV2019★ 3 cited

Multi-Instance Multi-Scale CNN for Medical Image Classification

Shaohua Li, Yong Liu, Xiuchao Sui +4

Deep learning for medical image classification faces three major challenges: 1) the number of annotated medical images for training are usually small; 2) regions of interest (ROIs)…

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