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20172022
most citedFast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity

77 citations · 157 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 12 cited

ITTR: Unpaired Image-to-Image Translation with Transformers

Wanfeng Zheng, Qiang Li, Guoxin Zhang +2

Unpaired image-to-image translation is to translate an image from a source domain to a target domain without paired training data. By utilizing CNN in extracting local semantics, v…

cs.CV2022★ 55 cited

Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels

Zipeng Ye, Mengfei Xia, Ran Yi +5

In this paper, we present a dynamic convolution kernel (DCK) strategy for convolutional neural networks. Using a fully convolutional network with the proposed DCKs, high-quality ta…

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…

cs.IR2017★ 77 cited

Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity

Laming Chen, Guoxin Zhang, Hanning Zhou

The determinantal point process (DPP) is an elegant probabilistic model of repulsion with applications in various machine learning tasks including summarization and search. However…