407 citations · 1.3k across the 34 of their papers we have counts for
8 papers · 1 filter
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Zhibo Wang, Mengkai Song, Zhifei Zhang +3
Federated learning, i.e., a mobile edge computing framework for deep learning, is a recent advance in privacy-preserving machine learning, where the model is trained in a decentral…
Attention-based Few-Shot Person Re-identification Using Meta Learning
Alireza Rahimpour, Hairong Qi
In this paper, we investigate the challenging task of person re-identification from a new perspective and propose an end-to-end attention-based architecture for few-shot re-identif…
Fast-converging Conditional Generative Adversarial Networks for Image Synthesis
Chengcheng Li, Zi Wang, Hairong Qi
Building on top of the success of generative adversarial networks (GANs), conditional GANs attempt to better direct the data generation process by conditioning with certain additio…
Reference-Conditioned Super-Resolution by Neural Texture Transfer
Zhifei Zhang, Zhaowen Wang, Zhe Lin +1
With the recent advancement in deep learning, we have witnessed a great progress in single image super-resolution. However, due to the significant information loss of the image dow…
Discriminative Cross-View Binary Representation Learning
Liu Liu, Hairong Qi
Learning compact representation is vital and challenging for large scale multimedia data. Cross-view/cross-modal hashing for effective binary representation learning has received s…
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
Ying Qu, Hairong Qi, Chiman Kwan
In many computer vision applications, obtaining images of high resolution in both the spatial and spectral domains are equally important. However, due to hardware limitations, one…