Search Results for author: Deli Zhao

Found 18 papers, 7 papers with code

Low-Rank Subspaces in GANs

1 code implementation8 Jun 2021 Jiapeng Zhu, Ruili Feng, Yujun Shen, Deli Zhao, ZhengJun Zha, Jingren Zhou, Qifeng Chen

Concretely, given an arbitrary image and a region of interest (e. g., eyes of face images), we manage to relate the latent space to the image region with the Jacobian matrix and then use low-rank factorization to discover steerable latent subspaces.

On Noise Injection in Generative Adversarial Networks

1 code implementation10 Jun 2020 Ruili Feng, Deli Zhao, ZhengJun Zha

Noise injection has been proved to be one of the key technique advances in generating high-fidelity images.

GAN inversion Image Generation

In-Domain GAN Inversion for Real Image Editing

3 code implementations ECCV 2020 Jiapeng Zhu, Yujun Shen, Deli Zhao, Bolei Zhou

A common practice of feeding a real image to a trained GAN generator is to invert it back to a latent code.

GAN inversion Image Interpolation +1

Perceptual Image Super-Resolution with Progressive Adversarial Network

no code implementations8 Mar 2020 Lone Wong, Deli Zhao, Shaohua Wan, Bo Zhang

Progressive growing enhances image resolution gradually, thereby preserving precision of recovered image.

Image Super-Resolution

Latent Variables on Spheres for Autoencoders in High Dimensions

no code implementations21 Dec 2019 Deli Zhao, Jiapeng Zhu, Bo Zhang

Variational Auto-Encoder (VAE) has been widely applied as a fundamental generative model in machine learning.

Curriculum Learning for Deep Generative Models with Clustering

no code implementations27 Jun 2019 Deli Zhao, Jiapeng Zhu, Zhenfang Guo, Bo Zhang

The experiments on cat and human-face data validate that our algorithm is able to learn the optimal generative models (e. g. ProGAN) with respect to specified quality metrics for noisy data.

Curriculum Learning

Disentangled Inference for GANs with Latently Invertible Autoencoder

3 code implementations19 Jun 2019 Jiapeng Zhu, Deli Zhao, Bo Zhang, Bolei Zhou

In this paper, we show that the entanglement of the latent space for the VAE/GAN framework poses the main challenge for encoder learning.

DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning

no code implementations NeurIPS 2018 Runsheng Yu, Wenyu Liu, Yasen Zhang, Zhi Qu, Deli Zhao, Bo Zhang

Based on these sub-images, a local exposure for each sub-image is automatically learned by virtue of policy network sequentially while the reward of learning is globally designed for striking a balance of overall exposures.

Few Shot Learning with Simplex

no code implementations27 Jul 2018 Bowen Zhang, Xifan Zhang, Fan Cheng, Deli Zhao

During testing, combined with the test sample and the points in the class, a new simplex is formed.

Few-Shot Learning

Sparse Coding and Dictionary Learning With Linear Dynamical Systems

no code implementations CVPR 2016 Wenbing Huang, Fuchun Sun, Lele Cao, Deli Zhao, Huaping Liu, Mehrtash Harandi

To enhance the performance of LDSs, in this paper, we address the challenging issue of performing sparse coding on the space of LDSs, where both data and dictionary atoms are LDSs.

Dictionary Learning Video Classification

Zeta Hull Pursuits: Learning Nonconvex Data Hulls

no code implementations NeurIPS 2014 Yuanjun Xiong, Wei Liu, Deli Zhao, Xiaoou Tang

Selecting a small informative subset from a given dataset, also called column sampling, has drawn much attention in machine learning.

Image Classification

Errata: Distant Supervision for Relation Extraction with Matrix Completion

no code implementations17 Nov 2014 Miao Fan, Deli Zhao, Qiang Zhou, Zhiyuan Liu, Thomas Fang Zheng, Edward Y. Chang

The essence of distantly supervised relation extraction is that it is an incomplete multi-label classification problem with sparse and noisy features.

Classification General Classification +3

Homophilic Clustering by Locally Asymmetric Geometry

no code implementations5 Jul 2014 Deli Zhao, Xiaoou Tang

Clustering is indispensable for data analysis in many scientific disciplines.

Graph Degree Linkage: Agglomerative Clustering on a Directed Graph

2 code implementations25 Aug 2012 Wei Zhang, Xiaogang Wang, Deli Zhao, Xiaoou Tang

We explore the different roles of two fundamental concepts in graph theory, indegree and outdegree, in the context of clustering.

 Ranked #1 on Image Clustering on Coil-20 (Accuracy metric)

Image Clustering

Cyclizing Clusters via Zeta Function of a Graph

no code implementations NeurIPS 2008 Deli Zhao, Xiaoou Tang

A mathematical tool, Zeta function of a graph, is introduced for the integration of all cycles, leading to a structural descriptor of the cluster in determinantal form.

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