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Yang Zhang

8 papers hereh-index 131.1k citations17 works total

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

author position
  • first author1
  • middle author7

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

fields
  • cs.CV4
  • cs.LG2
  • cs.AI1
  • cs.CL1
same name
  • Yang Zhang — 50 papers, h 15
  • Yang Zhang — 35 papers, h 18
  • Yang Zhang — 32 papers
  • Yang Zhang — 26 papers, h 42
  • Yang Zhang — 25 papers, h 85
  • Yang Zhang — 24 papers, h 11

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
20182022
most citedModality-Agnostic Attention Fusion for visual search with text feedback

48 citations · 64 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022★ 5 cited

Structure-Aware NeRF without Posed Camera via Epipolar Constraint

Shu Chen, Yang Zhang, Yaxin Xu +1

The neural radiance field (NeRF) for realistic novel view synthesis requires camera poses to be pre-acquired by a structure-from-motion (SfM) approach. This two-stage strategy is n…

cs.CV2021★ 2 cited

A Lightweight and Accurate Recognition Framework for Signs of X-ray Weld Images

Moyun Liu, Jingming Xie, Jing Hao +3

X-ray images are commonly used to ensure the security of devices in quality inspection industry. The recognition of signs printed on X-ray weld images plays an essential role in di…

cs.CV2020★ 48 cited

Modality-Agnostic Attention Fusion for visual search with text feedback

Eric Dodds, Jack Culpepper, Simao Herdade +2

Image retrieval with natural language feedback offers the promise of catalog search based on fine-grained visual features that go beyond objects and binary attributes, facilitating…

cs.CV2018

A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations

Weili Nie, Yang Zhang, Ankit Patel

Backpropagation-based visualizations have been proposed to interpret convolutional neural networks (CNNs), however a theory is missing to justify their behaviors: Guided backpropag…

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