◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Weiming Dong

National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences

25 papers hereh-index 283.9k citations110 works total

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

author position
  • first author1
  • middle author21
  • last author3

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.GR3
  • cs.LG3
  • cs.AI2
  • cs.MM1
affiliations
  • National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
same name
  • Weiming Dong — 28 papers, h 19
  • Weiming Dong — 5 papers, h 5
  • Weiming Dong — 1 paper, h 1
  • Weiming Dong — 1 paper, h 1
  • Weiming Dong — 1 paper

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
20132022
most citedDomain Enhanced Arbitrary Image Style Transfer via Contrastive Learning

209 citations · 408 across the 24 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 7 cited

Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning

Kekai Sheng, Weiming Dong, Menglei Chai +6

Visual aesthetic assessment has been an active research field for decades. Although latest methods have achieved promising performance on benchmark datasets, they typically rely on…

cs.LG2019★ 2 cited

Incremental Concept Learning via Online Generative Memory Recall

Huaiyu Li, Weiming Dong, Bao-Gang Hu

The ability to learn more and more concepts over time from incrementally arriving data is essential for the development of a life-long learning system. However, deep neural network…

cs.LG2019★ 50 cited

LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning

Huaiyu Li, Weiming Dong, Xing Mei +3

In this work, we propose a novel meta-learning approach for few-shot classification, which learns transferable prior knowledge across tasks and directly produces network parameters…

cs.AI2019

"Ge Shu Zhi Zhi": Towards Deep Understanding about Worlds

Baogang Hu, Weiming Dong

"Ge She Zhi Zhi" is a novel saying in Chinese, stated as "To investigate things from the underlying principle(s) and to acquire knowledge in the form of mathematical representation…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.