◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ning Zhang

18 papers hereh-index 2010.1k citations28 works total

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

author position
  • first author4
  • middle author12
  • last author2

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • cs.NE1
same name
  • Ning Zhang — 30 papers, h 89
  • Ning Zhang — 19 papers, h 7
  • Ning Zhang — 17 papers, h 34
  • Ning Zhang — 13 papers, h 8
  • Ning Zhang — 12 papers, h 60
  • Ning Zhang — 11 papers, h 6

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 citedDeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

3.5k citations · 3.9k across the 17 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 10 cited

Dynamic Kernel Distillation for Efficient Pose Estimation in Videos

Xuecheng Nie, Yuncheng Li, Linjie Luo +2

Existing video-based human pose estimation methods extensively apply large networks onto every frame in the video to localize body joints, which suffer high computational cost and…

cs.CV2019★ 2 cited

Weakly Supervised Body Part Segmentation with Pose based Part Priors

Zhengyuan Yang, Yuncheng Li, Linjie Yang +2

Human body part segmentation refers to the task of predicting the semantic segmentation mask for each body part. Fully supervised body part segmentation methods achieve good perfor…

cs.CV2019★ 3 cited

Context-Aware Zero-Shot Recognition

Ruotian Luo, Ning Zhang, Bohyung Han +1

We present a novel problem setting in zero-shot learning, zero-shot object recognition and detection in the context. Contrary to the traditional zero-shot learning methods, which s…

cs.CV2019

Laplace Landmark Localization

Joseph P Robinson, Yuncheng Li, Ning Zhang +2

Landmark localization in images and videos is a classic problem solved in various ways. Nowadays, with deep networks prevailing throughout machine learning, there are revamped inte…

◍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.