◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jie Wu

4 papers here

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.DS1
same name
  • Jie Wu — 46 papers, h 29
  • Jie Wu — 10 papers
  • Jie Wu — 7 papers
  • Jie Wu — 5 papers
  • Jie Wu — 5 papers
  • Jie Wu — 3 papers

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
20192021
most citedRevisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme

22 citations · 30 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2021★ 22 cited

Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme

Shaojie Li, Jie Wu, Xuefeng Xiao +3

Recently, a series of algorithms have been explored for GAN compression, which aims to reduce tremendous computational overhead and memory usages when deploying GANs on resource-co…

cs.CV2021

Online Multi-Granularity Distillation for GAN Compression

Yuxi Ren, Jie Wu, Xuefeng Xiao +1

Generative Adversarial Networks (GANs) have witnessed prevailing success in yielding outstanding images, however, they are burdensome to deploy on resource-constrained devices due…

cs.DS2020★ 3 cited

Robust Sequence Submodular Maximization

Gamal Sallam, Zizhan Zheng, Jie Wu +1

Submodularity is an important property of set functions and has been extensively studied in the literature. It models set functions that exhibit a diminishing returns property, whe…

cs.CV2019★ 5 cited

PMC-GANs: Generating Multi-Scale High-Quality Pedestrian with Multimodal Cascaded GANs

Jie Wu, Ying Peng, Chenghao Zheng +2

Recently, generative adversarial networks (GANs) have shown great advantages in synthesizing images, leading to a boost of explorations of using faked images to augment data. This…

◍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.