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Wei Li

Jiangxi University of Science and Technology

28 papers hereh-index 314.4k citations282 works total

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

author position
  • first author3
  • middle author17
  • last author8

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.LG6
  • cs.SD5
  • cs.IR2
  • eess.AS2
  • cs.CE1
affiliations
  • Jiangxi University of Science and Technology
Homepage
same name
  • Wei Li — 45 papers, h 18
  • Wei Li — 37 papers, h 24
  • Wei Li — 35 papers, h 30
  • Wei Li — 23 papers, h 18
  • Wei Li — 21 papers, h 10
  • Wei Li — 20 papers, h 13

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 citedA3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification

149 citations · 273 across the 28 of their papers we have counts for

collaborators
Showing 2023 · cs.CVShow all

3 papers · 2 filters

cs.CV2023★ 24 cited

DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Wei Li, Linchao Zhu, Longyin Wen +1

Large-scale pre-trained multi-modal models (e.g., CLIP) demonstrate strong zero-shot transfer capability in many discriminative tasks. Their adaptation to zero-shot image-condition…

cs.CV2023★ 1 cited

Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification

Xuming Zhang, Jian Yan, Jia Tian +3

Deep learning methods have been successfully applied to hyperspectral image (HSI) classification with remarkable performance. Because of limited labelled HSI data, earlier studies…

cs.CV2023

DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution

Junbo Qiao, Shaohui Lin, Yunlun Zhang +5

Real-world image super-resolution (RISR) has received increased focus for improving the quality of SR images under unknown complex degradation. Existing methods rely on the heavy S…

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