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Yuqing Yang

4 papers hereh-index 6931 citations21 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1
same name
  • Yuqing Yang — 94 papers, h 30
  • Yuqing Yang — 10 papers, h 9
  • Yuqing Yang — 4 papers, h 5
  • Yuqing Yang — 4 papers, h 10
  • Yuqing Yang — 1 paper
  • Yuqing Yang — 1 paper, h 10

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
20202025
most citedEfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

37 citations · 41 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025★ 1 cited

NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results

Yuqian Fu, Xingyu Qiu, Bin Ren +59

Cross-Domain Few-Shot Object Detection (CD-FSOD) poses significant challenges to existing object detection and few-shot detection models when applied across domains. In conjunction…

cs.CV2025★ 2 cited

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Kai Liu, Jue Gong +108

This paper presents the NTIRE 2025 image super-resolution (×4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to r…

cs.CV2023★ 37 cited

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

Xinyu Liu, Houwen Peng, Ningxin Zheng +3

Vision transformers have shown great success due to their high model capabilities. However, their remarkable performance is accompanied by heavy computation costs, which makes them…

cs.LG2020★ 1 cited

A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements

Y. Yang, P. Xiao, B. Liao +1

We propose a novel deep neural network, coined DeepFPC-ℓ2​, for solving the 1-bit compressed sensing problem. The network is designed by unfolding the iterations of the fixed-…

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