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researcher

Yang Wang

8 papers here

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

author position
  • middle author4
  • last author4

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

fields
  • cs.CV4
  • cs.LG3
  • eess.IV1
ORCID 0000-0003-1029-9280
same name
  • Yang Wang — 46 papers, h 102
  • Yang Wang — 22 papers
  • Yang Wang — 15 papers
  • Yang Wang — 11 papers, h 13
  • Yang Wang — 9 papers, h 14
  • Yang Wang — 8 papers

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
20162025
most citedCross-Modal Self-Attention Network for Referring Image Segmentation

46 citations · 53 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022

Instance Image Retrieval by Learning Purely From Within the Dataset

Zhongyan Zhang, Lei Wang, Yang Wang +4

Quality feature representation is key to instance image retrieval. To attain it, existing methods usually resort to a deep model pre-trained on benchmark datasets or even fine-tune…

cs.CV2019

Convolutional Temporal Attention Model for Video-based Person Re-identification

Tanzila Rahman, Mrigank Rochan, Yang Wang

The goal of video-based person re-identification is to match two input videos, so that the distance of the two videos is small if two videos contain the same person. A common appro…

cs.CV2019★ 46 cited

Cross-Modal Self-Attention Network for Referring Image Segmentation

Linwei Ye, Mrigank Rochan, Zhi Liu +1

We consider the problem of referring image segmentation. Given an input image and a natural language expression, the goal is to segment the object referred by the language expressi…

cs.CV2019★ 5 cited

Cross-Entropy Adversarial View Adaptation for Person Re-identification

Lin Wu, Richang Hong, Yang Wang +1

Person re-identification (re-ID) is a task of matching pedestrians under disjoint camera views. To recognise paired snapshots, it has to cope with large cross-view variations cause…

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