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researcher

Lin Liu

13 papers hereh-index 14993 citations21 works total

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

author position
  • first author6
  • middle author5

Across the 11 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.IT1
  • cs.LG1
  • eess.IV1
same name
  • Lin Liu — 31 papers, h 42
  • Lin Liu — 25 papers, h 10
  • Lin Liu — 21 papers, h 7
  • Lin Liu — 16 papers, h 6
  • Lin Liu — 14 papers, h 11
  • Lin Liu — 13 papers, h 2

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
20202023
most citedCLIP-Count: Towards Text-Guided Zero-Shot Object Counting

75 citations · 157 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 14 cited

Towards a Unified View on Visual Parameter-Efficient Transfer Learning

Bruce X. B. Yu, Jianlong Chang, Lingbo Liu +2

Parameter efficient transfer learning (PETL) aims at making good use of the representation knowledge in the pre-trained large models by fine-tuning a small number of parameters. Re…

cs.CV2022★ 5 cited

Low-Light Video Enhancement with Synthetic Event Guidance

Lin Liu, Junfeng An, Jianzhuang Liu +6

Low-light video enhancement (LLVE) is an important yet challenging task with many applications such as photographing and autonomous driving. Unlike single image low-light enhanceme…

cs.CV2022★ 11 cited

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw +85

This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conj…

cs.CV2022★ 4 cited

TAPE: Task-Agnostic Prior Embedding for Image Restoration

Lin Liu, Lingxi Xie, Xiaopeng Zhang +5

Learning a generalized prior for natural image restoration is an important yet challenging task. Early methods mostly involved handcrafted priors including normalized sparsity, l_0…

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