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researcher

Ning Xie

Amazon.com

8 papers hereh-index 101.1k citations15 works total

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

author position
  • first author3
  • middle author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG3
  • cs.AI1
affiliations
  • Amazon.com
Homepage
same name
  • Ning Xie — 15 papers, h 15
  • Ning Xie — 7 papers, h 6
  • Ning Xie — 4 papers, h 5
  • Ning Xie — 4 papers, h 1
  • Ning Xie — 4 papers, h 5
  • Ning Xie — 3 papers, h 3

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
20172021
most citedVisual Entailment: A Novel Task for Fine-Grained Image Understanding

162 citations · 326 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2021★ 9 cited

CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification

Huidong Liu, Shaoyuan Xu, Jinmiao Fu +5

Modern Web systems such as social media and e-commerce contain rich contents expressed in images and text. Leveraging information from multi-modalities can improve the performance…

cs.CV2019★ 3 cited

Contextual Grounding of Natural Language Entities in Images

Farley Lai, Ning Xie, Derek Doran +1

In this paper, we introduce a contextual grounding approach that captures the context in corresponding text entities and image regions to improve the grounding accuracy. Specifical…

cs.CV2019★ 162 cited

Visual Entailment: A Novel Task for Fine-Grained Image Understanding

Ning Xie, Farley Lai, Derek Doran +1

Existing visual reasoning datasets such as Visual Question Answering (VQA), often suffer from biases conditioned on the question, image or answer distributions. The recently propos…

cs.CV2018★ 13 cited

Visual Entailment Task for Visually-Grounded Language Learning

Ning Xie, Farley Lai, Derek Doran +1

We introduce a new inference task - Visual Entailment (VE) - which differs from traditional Textual Entailment (TE) tasks whereby a premise is defined by an image, rather than a na…

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