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researcher

Meng Wang

26 papers hereh-index 231.8k citations65 works total

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

author position
  • middle author3
  • last author22

Across the 25 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV21
  • cs.LG5
same name
  • Meng Wang — 306 papers
  • Meng Wang — 236 papers, h 34
  • Meng Wang — 64 papers, h 32
  • Meng Wang — 34 papers, h 16
  • Meng Wang — 23 papers, h 52
  • Meng Wang — 20 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
20192023
most citedKernelized Multiview Subspace Analysis by Self-weighted Learning

106 citations · 235 across the 25 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022

Long-Range Zero-Shot Generative Deep Network Quantization

Yan Luo, Yangcheng Gao, Zhao Zhang +3

Quantization approximates a deep network model with floating-point numbers by the one with low bit width numbers, in order to accelerate inference and reduce computation. Quantizin…

cs.CV2022★ 2 cited

OSIC: A New One-Stage Image Captioner Coined

Bo Wang, Zhao Zhang, Mingbo Zhao +3

Mainstream image caption models are usually two-stage captioners, i.e., calculating object features by pre-trained detector, and feeding them into a language model to generate text…

cs.CV2022★ 2 cited

Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light Images Without Task-Related Data

Zhao Zhang, Suiyi Zhao, Xiaojie Jin +4

Deep learning-based low-light image enhancement (LLIE) is a task of leveraging deep neural networks to enhance the image illumination while keeping the image content unchanged. Fro…

cs.CV2022★ 1 cited

FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring

Suiyi Zhao, Zhao Zhang, Richang Hong +3

Blind image deblurring (BID) remains a challenging and significant task. Benefiting from the strong fitting ability of deep learning, paired data-driven supervised BID method has o…

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