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Feng Liang

16 papers hereh-index 132k citations21 works total

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

author position
  • first author3
  • middle author12
  • last author1

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • eess.IV3
  • cs.LG1
same name
  • Feng Liang — 14 papers, h 20
  • Feng Liang — 8 papers, h 4
  • Feng Liang — 7 papers, h 4
  • Feng Liang — 5 papers, h 0
  • Feng Liang — 5 papers, h 6
  • Feng Liang — 4 papers, h 3

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 citedSupervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

128 citations · 206 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

eess.IV2023

Enhanced Residual SwinV2 Transformer for Learned Image Compression

Yongqiang Wang, Feng Liang, Haisheng Fu +3

Recently, the deep learning technology has been successfully applied in the field of image compression, leading to superior rate-distortion performance. However, a challenge of man…

cs.CV2023

Mask Hierarchical Features For Self-Supervised Learning

Fenggang Liu, Yangguang Li, Feng Liang +3

This paper shows that Masking the Deep hierarchical features is an efficient self-supervised method, denoted as MaskDeep. MaskDeep treats each patch in the representation space as…

cs.CV2023★ 7 cited

Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception

Bin Huang, Yangguang Li, Enze Xie +7

Recently, the pure camera-based Bird's-Eye-View (BEV) perception removes expensive Lidar sensors, making it a feasible solution for economical autonomous driving. However, most exi…

cs.CV2023★ 6 cited

Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline

Yangguang Li, Bin Huang, Zeren Chen +8

Recently, perception task based on Bird's-Eye View (BEV) representation has drawn more and more attention, and BEV representation is promising as the foundation for next-generation…

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