12 citations · 30 across the 6 of their papers we have counts for
7 papers
Bridging CLIP and StyleGAN through Latent Alignment for Image Editing
Wanfeng Zheng, Qiang Li, Xiaoyan Guo +2
Text-driven image manipulation is developed since the vision-language model (CLIP) has been proposed. Previous work has adopted CLIP to design a text-image consistency-based object…
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…
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…
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…
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…
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…
A Psychophysically Oriented Saliency Map Prediction Model
Qiang Li
Visual attention is one of the most significant characteristics for selecting and understanding the outside redundancy world. The human vision system cannot process all information…