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Qixiang Ye

84 papers hereh-index 5514.6k citations224 works total

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

author position
  • middle author46
  • last author29

Across the 75 of 84 papers where every author was matched, so the position is known.

fields
  • cs.CV80
  • cs.LG4
same name
  • Qixiang Ye — 15 papers, h 8
  • Qixiang Ye — 13 papers, h 8
  • Qixiang Ye — 4 papers, h 1
  • Qixiang Ye — 3 papers, h 3
  • Qixiang Ye — 2 papers, h 1
  • Qixiang Ye — 1 paper, h 6

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
20162024
most citedBEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

115 citations · 547 across the 65 of their papers we have counts for

collaborators
Showing 2018 · cs.CVShow all

4 papers · 2 filters

cs.CV2018

Similarity-preserving Image-image Domain Adaptation for Person Re-identification

Weijian Deng, Liang Zheng, Qixiang Ye +2

This article studies the domain adaptation problem in person re-identification (re-ID) under a "learning via translation" framework, consisting of two components, 1) translating th…

cs.CV2018

Linear Span Network for Object Skeleton Detection

Chang Liu, Wei Ke, Fei Qin +1

Robust object skeleton detection requires to explore rich representative visual features and effective feature fusion strategies. In this paper, we first re-visit the implementatio…

cs.CV2018

SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond

Wei Ke, Jie Chen, Jianbin Jiao +2

In this paper, we establish a baseline for object reflection symmetry detection in complex backgrounds by presenting a new benchmark and an end-to-end deep learning approach, openi…

cs.CV2018

Weakly Supervised Instance Segmentation using Class Peak Response

Yanzhao Zhou, Yi Zhu, Qixiang Ye +2

Weakly supervised instance segmentation with image-level labels, instead of expensive pixel-level masks, remains unexplored. In this paper, we tackle this challenging problem by ex…

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