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Rushit Dave

25 papers hereh-index 18844 citations44 works total

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

author position
  • sole author1
  • first author2
  • middle author16
  • last author6

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CR7
  • cs.CV6
  • cs.LG4
  • cs.AI2
  • cs.CL1
  • cs.CY1
same name
  • Rushit Dave — 1 paper
  • Rushit Dave — 1 paper, h 2
  • Rushit Dave — 1 paper, h 2

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
20212023
most citedMachine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication

54 citations · 165 across the 25 of their papers we have counts for

collaborators
Showing 2022 · cs.CVShow all

4 papers · 2 filters

cs.CV2022★ 2 cited

Using Deep Learning to Detecting Deepfakes

Jacob Mallet, Rushit Dave, Naeem Seliya +1

In the recent years, social media has grown to become a major source of information for many online users. This has given rise to the spread of misinformation through deepfakes. De…

cs.CV2022

Mitigating Presentation Attack using DCGAN and Deep CNN

Nyle Siddiqui, Rushit Dave

Biometric based authentication is currently playing an essential role over conventional authentication system; however, the risk of presentation attacks subsequently rising. Our re…

cs.CV2022★ 3 cited

A Close Look into Human Activity Recognition Models using Deep Learning

Wei Zhong Tee, Rushit Dave, Naeem Seliya +1

Human activity recognition using deep learning techniques has become increasing popular because of its high effectivity with recognizing complex tasks, as well as being relatively…

cs.CV2022★ 2 cited

A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation

Nyle Siddiqui, Rushit Dave, Tyler Bauer +3

Facial emotion recognition is a vast and complex problem space within the domain of computer vision and thus requires a universally accepted baseline method with which to evaluate…

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