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Junyu Dong

58 papers hereh-index 5411k citations481 works total

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

author position
  • middle author40
  • last author13

Across the 53 of 58 papers where every author was matched, so the position is known.

fields
  • cs.CV42
  • eess.IV10
  • cs.LG6
same name
  • Junyu Dong — 23 papers, h 7
  • Junyu Dong — 12 papers, h 4
  • Junyu Dong — 11 papers, h 15
  • Junyu Dong — 10 papers, h 5
  • Junyu Dong — 9 papers, h 4
  • Junyu Dong — 7 papers, h 18

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
20152024
most citedPrediction of Sea Surface Temperature using Long Short-Term Memory

490 citations · 1.5k across the 56 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017★ 490 cited

Prediction of Sea Surface Temperature using Long Short-Term Memory

Qin Zhang, Hui Wang, Junyu Dong +2

This letter adopts long short-term memory(LSTM) to predict sea surface temperature(SST), which is the first attempt, to our knowledge, to use recurrent neural network to solve the…

cs.CV2017★ 1 cited

Dense 3D Facial Reconstruction from a Single Depth Image in Unconstrained Environment

Shu Zhang, Hui Yu, Ting Wang +2

With the increasing demands of applications in virtual reality such as 3D films, virtual Human-Machine Interactions and virtual agents, the analysis of 3D human face analysis is co…

cs.CV2017★ 2 cited

A Procedural Texture Generation Framework Based on Semantic Descriptions

Junyu Dong, Lina Wang, Jun Liu +1

Procedural textures are normally generated from mathematical models with parameters carefully selected by experienced users. However, for naive users, the intuitive way to obtain a…

cs.CV2017★ 2 cited

Perception Driven Texture Generation

Yanhai Gan, Huifang Chi, Ying Gao +3

This paper investigates a novel task of generating texture images from perceptual descriptions. Previous work on texture generation focused on either synthesis from examples or gen…

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