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Amanpreet Singh

6 papers here

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

author position
  • first author1
  • middle author3
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CL1
  • cs.IR1
ORCID 0000-0002-3409-9833
same name
  • Amanpreet Singh — 15 papers, h 13
  • Amanpreet Singh — 13 papers, h 7
  • Amanpreet Singh — 5 papers, h 5
  • Amanpreet Singh — 2 papers, h 2
  • Amanpreet Singh — 1 paper, h 1
  • Amanpreet Singh — 1 paper

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 citedOBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

48 citations · 103 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022★ 14 cited

Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality

Tristan Thrush, Ryan Jiang, Max Bartolo +4

We present a novel task and dataset for evaluating the ability of vision and language models to conduct visio-linguistic compositional reasoning, which we call Winoground. Given tw…

cs.CV2021★ 22 cited

Human-Adversarial Visual Question Answering

Sasha Sheng, Amanpreet Singh, Vedanuj Goswami +4

Performance on the most commonly used Visual Question Answering dataset (VQA v2) is starting to approach human accuracy. However, in interacting with state-of-the-art VQA models, i…

cs.CV2021★ 1 cited

TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text

Amanpreet Singh, Guan Pang, Mandy Toh +3

A crucial component for the scene text based reasoning required for TextVQA and TextCaps datasets involve detecting and recognizing text present in the images using an optical char…

cs.CV2021★ 4 cited

UniT: Multimodal Multitask Learning with a Unified Transformer

Ronghang Hu, Amanpreet Singh

We propose UniT, a Unified Transformer model to simultaneously learn the most prominent tasks across different domains, ranging from object detection to natural language understand…

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