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Ashish Mishra

12 papers hereh-index 111.4k citations16 works total

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

author position
  • first author2
  • middle author9
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.LG1
  • eess.IV1
same name
  • Ashish Mishra — 6 papers, h 4
  • Ashish Mishra — 6 papers, h 5
  • Ashish Mishra — 4 papers, h 2
  • Ashish Mishra — 3 papers, h 1
  • Ashish Mishra — 2 papers, h 2
  • Ashish Mishra — 1 paper, h 1

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
20162021
most citedOnline Lifelong Generalized Zero-Shot Learning

18 citations · 59 across the 7 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020

Towards Zero-Shot Learning with Fewer Seen Class Examples

Vinay Kumar Verma, Ashish Mishra, Anubha Pandey +2

We present a meta-learning based generative model for zero-shot learning (ZSL) towards a challenging setting when the number of training examples from each \emph{seen} class is ver…

cs.CV2020★ 10 cited

Generalized Continual Zero-Shot Learning

Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra +1

Recently, zero-shot learning (ZSL) emerged as an exciting topic and attracted a lot of attention. ZSL aims to classify unseen classes by transferring the knowledge from seen classe…

eess.IV2020★ 9 cited

Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models

Achyut Mani Tripathi, Ashish Mishra

Early identification of COVID-19 using a deep model trained on Chest X-Ray and CT images has gained considerable attention from researchers to speed up the process of identificatio…

cs.CV2020

Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval

Anubha Pandey, Ashish Mishra, Vinay Kumar Verma +2

Conventional approaches to Sketch-Based Image Retrieval (SBIR) assume that the data of all the classes are available during training. The assumption may not always be practical sin…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.