Search Results for author: Shuang Zhao

Found 7 papers, 1 papers with code

Statistical Feature-based Personal Information Detection in Mobile Network Traffic

no code implementations23 Dec 2021 Shuang Zhao, Shuhui Chen, Ziling Wei

Since the statistical features are independent of the value and type of personal information, the trained detector is capable of identifying various types of privacy leaks and obfuscated privacy leaks.

Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes

1 code implementation CVPR 2021 Huiting Yang, Liangyu Chai, Qiang Wen, Shuang Zhao, Zixun Sun, Shengfeng He

In this way, arbitrary attributes can be edited by collecting positive data only, and the proposed method learns a controllable representation enabling manipulation of non-binary attributes like anime styles and facial characteristics.

Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering

no code implementations28 Mar 2021 Fujun Luan, Shuang Zhao, Kavita Bala, Zhao Dong

Reconstructing the shape and appearance of real-world objects using measured 2D images has been a long-standing problem in computer vision.

MaterialGAN: Reflectance Capture using a Generative SVBRDF Model

no code implementations30 Sep 2020 Yu Guo, Cameron Smith, Miloš Hašan, Kalyan Sunkavalli, Shuang Zhao

We address the problem of reconstructing spatially-varying BRDFs from a small set of image measurements.

A Bayesian Inference Framework for Procedural Material Parameter Estimation

no code implementations2 Dec 2019 Yu Guo, Milos Hasan, Lingqi Yan, Shuang Zhao

Procedural material models have been gaining traction in many applications thanks to their flexibility, compactness, and easy editability.

Bayesian Inference

News Cover Assessment via Multi-task Learning

no code implementations17 Jul 2019 Zixun Sun, Shuang Zhao, Chengwei Zhu, Xiao Chen

We propose an end-to-end multi-task learning network for image clarity assessment and semantic segmentation simultaneously, the results of which can be guided for news cover assessment.

Multi-Task Learning Semantic Segmentation

Inverse Transport Networks

no code implementations28 Sep 2018 Chengqian Che, Fujun Luan, Shuang Zhao, Kavita Bala, Ioannis Gkioulekas

We introduce inverse transport networks as a learning architecture for inverse rendering problems where, given input image measurements, we seek to infer physical scene parameters such as shape, material, and illumination.

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