◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yurong Chen

30 papers hereh-index 266.7k citations76 works total

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

author position
  • middle author22
  • last author8

Across the 30 of 30 papers where every author was matched, so the position is known.

fields
  • cs.CV24
  • cs.LG2
  • cs.NE2
  • cs.AR1
  • eess.IV1
same name
  • Yurong Chen — 11 papers, h 6
  • Yurong Chen — 3 papers, h 3
  • Yurong Chen — 1 paper
  • Yurong Chen — 1 paper, h 8
  • Yurong Chen — 1 paper, 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
20142023
most citedIncremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

481 citations · 1.3k across the 30 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 54 cited

Learning Two-View Correspondences and Geometry Using Order-Aware Network

Jiahui Zhang, Dawei Sun, Zixin Luo +6

Establishing correspondences between two images requires both local and global spatial context. Given putative correspondences of feature points in two views, in this paper, we pro…

cs.CV2019★ 6 cited

Efficient Semantic Scene Completion Network with Spatial Group Convolution

Jiahui Zhang, Hao Zhao, Anbang Yao +3

We introduce Spatial Group Convolution (SGC) for accelerating the computation of 3D dense prediction tasks. SGC is orthogonal to group convolution, which works on spatial dimension…

cs.CV2019★ 10 cited

A Closed-form Solution to Universal Style Transfer

Ming Lu, Hao Zhao, Anbang Yao +3

Universal style transfer tries to explicitly minimize the losses in feature space, thus it does not require training on any pre-defined styles. It usually uses different layers of…

cs.CV2019★ 1 cited

Deep Likelihood Network for Image Restoration with Multiple Degradation Levels

Yiwen Guo, Ming Lu, Wangmeng Zuo +2

Convolutional neural networks have been proven effective in a variety of image restoration tasks. Most state-of-the-art solutions, however, are trained using images with a single p…

◍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.