◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Tarr

10 papers hereh-index 5816.4k citations243 works total

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

author position
  • middle author5
  • last author4

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • q-bio.NC3
  • cs.CL1
  • cs.SD1
  • stat.AP1
same name
  • M. Tarr — 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
20152023
most citedBOLD5000: A public fMRI dataset of 5000 images

173 citations · 204 across the 10 of their papers we have counts for

collaborators
Showing q-bio.NCShow all

3 papers · 1 filter

q-bio.NC2020

Learning Intermediate Features of Object Affordances with a Convolutional Neural Network

Aria Yuan Wang, Michael J. Tarr

Our ability to interact with the world around us relies on being able to infer what actions objects afford -- often referred to as affordances. The neural mechanisms of object-acti…

q-bio.NC2018★ 173 cited

BOLD5000: A public fMRI dataset of 5000 images

Nadine Chang, John A. Pyles, Abhinav Gupta +2

Vision science, particularly machine vision, has been revolutionized by introducing large-scale image datasets and statistical learning approaches. Yet, human neuroimaging studies…

q-bio.NC2016★ 1 cited

Temporal and Semantic Effects on Multisensory Integration

Jean M. Vettel, Julia R. Green, Laurie Heller +1

How do we integrate modality-specific perceptual information arising from the same physical event into a coherent percept? One possibility is that observers rely on information acr…

◍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.