Standout Papers

Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network 2020 2026 2022 2024318
  1. Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network (2020)
    Shaolin Su, Qingsen Yan et al. Adelaide Research & Scholarship (AR&S) (University of Adelaide)

Immediate Impact

30 standout
Sub-graph 1 of 10

Citing Papers

Self-organized underwater image enhancement
2024 Standout
Perceptual video quality assessment: a survey
2024 Standout
13 intermediate papers

Works of Shaolin Su being referenced

Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network
2020 Standout

Author Peers

Author Last Decade Papers Cites
Shaolin Su 313 173 1 20 7 354
S. Alireza Golestaneh 275 175 1 17 7 303
George Paschos 216 95 2 27 9 305
A.D. Brink 283 111 25 7 383
Weilong Hou 285 161 1 6 7 340
Li Xu 304 164 1 8 7 354
H.-S. Don 288 77 9 5 362
Naejin Kong 294 65 1 14 4 364
Jingwei Guan 267 159 6 5 301
Kevin Karsch 284 132 5 10 365
I.A. Esquef 230 113 16 7 336

All Works

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Rankless by CCL
2026