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Brian L. Price

35 papers hereh-index 438.8k citations133 works total

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

author position
  • middle author31
  • last author4

Across the 35 of 35 papers where every author was matched, so the position is known.

fields
  • cs.CV34
  • cs.CL1
same name
  • Brian L. Price — 3 papers, h 3
  • Brian L. Price — 3 papers, h 2
  • Brian L. Price — 2 papers, h 3
  • Brian L. Price — 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
20152023
most citedInner and Inter Label Propagation: Salient Object Detection in the Wild

205 citations · 572 across the 30 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 20 cited

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

Ning Xu, Linjie Yang, Yuchen Fan +6

Learning long-term spatial-temporal features are critical for many video analysis tasks. However, existing video segmentation methods predominantly rely on static image segmentatio…

cs.CV2018★ 2 cited

Guided Image Inpainting: Replacing an Image Region by Pulling Content from Another Image

Yinan Zhao, Brian Price, Scott Cohen +1

Deep generative models have shown success in automatically synthesizing missing image regions using surrounding context. However, users cannot directly decide what content to synth…

cs.CV2018★ 68 cited

Discriminability objective for training descriptive captions

Ruotian Luo, Brian Price, Scott Cohen +1

One property that remains lacking in image captions generated by contemporary methods is discriminability: being able to tell two images apart given the caption for one of them. We…

cs.CV2018★ 27 cited

DVQA: Understanding Data Visualizations via Question Answering

Kushal Kafle, Brian Price, Scott Cohen +1

Bar charts are an effective way to convey numeric information, but today's algorithms cannot parse them. Existing methods fail when faced with even minor variations in appearance.…

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