◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

P. Mishra

4 papers hereh-index 6603 citations24 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV4
same name
  • P. Mishra — 10 papers, h 20
  • P. Mishra — 8 papers, h 28
  • P. Mishra — 5 papers, h 42
  • P. Mishra — 4 papers, h 5
  • P. Mishra — 3 papers, h 6
  • P. Mishra — 3 papers, h 7

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
20192022
most citedMasked Transformer for image Anomaly Localization

36 citations · 36 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 36 cited

Masked Transformer for image Anomaly Localization

Axel De Nardin, Pankaj Mishra, Gian Luca Foresti +1

Image anomaly detection consists in detecting images or image portions that are visually different from the majority of the samples in a dataset. The task is of practical importanc…

cs.CV2021

VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization

Pankaj Mishra, Riccardo Verk, Daniele Fornasier +2

We present a transformer-based image anomaly detection and localization network. Our proposed model is a combination of a reconstruction-based approach and patch embedding. The use…

cs.CV2020

Image Anomaly Detection by Aggregating Deep Pyramidal Representations

Pankaj Mishra, Claudio Piciarelli, Gian Luca Foresti

Anomaly detection consists in identifying, within a dataset, those samples that significantly differ from the majority of the data, representing the normal class. It has many pract…

cs.CV2019

Image anomaly detection with capsule networks and imbalanced datasets

Claudio Piciarelli, Pankaj Mishra, Gian Luca Foresti

Image anomaly detection consists in finding images with anomalous, unusual patterns with respect to a set of normal data. Anomaly detection can be applied to several fields and has…

◍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.