◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Niv Cohen

17 papers hereh-index 121.6k citations27 works total

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

author position
  • first author8
  • middle author7
  • last author2

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.LG5
  • cond-mat.mes-hall1
same name
  • Niv Cohen — 15 papers, h 9

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
20152026
most citedSub-Image Anomaly Detection with Deep Pyramid Correspondences

327 citations · 466 across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.CV2020★ 1 cited

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation

Tal Reiss, Niv Cohen, Liron Bergman +1

Anomaly detection methods require high-quality features. In recent years, the anomaly detection community has attempted to obtain better features using advances in deep self-superv…

cs.CV2020★ 327 cited

Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Niv Cohen, Yedid Hoshen

Nearest neighbor (kNN) methods utilizing deep pre-trained features exhibit very strong anomaly detection performance when applied to entire images. A limitation of kNN methods is t…

cs.LG2020★ 110 cited

Deep Nearest Neighbor Anomaly Detection

Liron Bergman, Niv Cohen, Yedid Hoshen

Nearest neighbors is a successful and long-standing technique for anomaly detection. Significant progress has been recently achieved by self-supervised deep methods (e.g. RotNet).…

◍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.