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20202022
most citedBlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation

12 citations · 30 across the 6 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

CRIS: CLIP-Driven Referring Image Segmentation

Zhaoqing Wang, Yu Lu, Qiang Li +4

Referring image segmentation aims to segment a referent via a natural linguistic expression.Due to the distinct data properties between text and image, it is challenging for a netw…

cs.CV2021★ 12 cited

BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation

Mingcong Liu, Qiang Li, Zekui Qin +3

Generative Adversarial Networks (GANs) have made a dramatic leap in high-fidelity image synthesis and stylized face generation. Recently, a layer-swapping mechanism has been develo…

cs.CV2021★ 1 cited

Exploring Set Similarity for Dense Self-supervised Representation Learning

Zhaoqing Wang, Qiang Li, Guoxin Zhang +5

By considering the spatial correspondence, dense self-supervised representation learning has achieved superior performance on various dense prediction tasks. However, the pixel-lev…

q-bio.NC2021

Contrast Sensitivity Functions in Autoencoders

Qiang Li, Alex Gomez-Villa, Marcelo Bertalmio +1

Three decades ago, Atick et al. suggested that human frequency sensitivity may emerge from the enhancement required for a more efficient analysis of retinal images. Here we reasses…

cs.CV2021

Image deblurring based on lightweight multi-information fusion network

Yanni Zhang, Yiming Liu, Qiang Li +4

Recently, deep learning based image deblurring has been well developed. However, exploiting the detailed image features in a deep learning framework always requires a mass of param…