Zhiwu Huang

Postdoctoral Researcher
Computer Vision Lab
ETH Zurich
Email: zhiwu.huang@vision.ee.ethz.ch
Office: ETF C112

Google Scholar

About Me

I am a postdoctoral researcher working with Prof. Luc Van Gool at Computer Vision Lab, ETH Zurich. My current research interests include video generation, enhancement, classification with manifold networks and generative networks.

Before coming to Zurich, I obtained my PhD degree from Vision Information Processing and Learning (VIPL) group in Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), in 2015. Prof. Shiguang Shan is my PhD supervisor. During my PhD study, I also worked closely with Prof. Ruiping Wang and Prof. Xilin Chen.

Student Projects

Please email to zhiwu.huang[at]vision.ee.ethz.ch if you are interested in the following projects:
Face Identification in Videos , Facial Expression Generation and Recognition , Human Action Recognition , Face-focused Video Enhancement and Synthesis , Unsuprvised Image and Video Generation

Contests

Recent News

Selected Preprints

Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs

Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool.
arXiv:1810.02419 , 2018

Improving Video Generation for Multi-functional Applications

Bernhard Kratzwald, Zhiwu Huang, Danda Pani Paudel, Dinesh Acharya, Luc Van Gool.
arXiv:1711.11453 , Project Page 2017

Face Translation between Images and Videos using Identity-aware CycleGAN

Zhiwu Huang, Bernhard Kratzwald, Danda Pani Paudel, Jiqing Wu, Luc Van Gool.
arXiv:1712.00971 , 2017

On the Relation between Color Image Denoising and Classification

Jiqing Wu, Radu Timofte, Zhiwu Huang, Luc Van Gool.
arXiv:1611.05742, 2017

Selected Conference Papers

Sliced Wasserstein Generative Models

Jiqing Wu*, Zhiwu Huang*, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool.
(*indicates equal contributions)

Computer Vision and Pattern Recognition (CVPR), accepted, 2019
arXiv GitHub code

Manifold-valued Image Generation with Wasserstein Generative Adversarial Nets

Zhiwu Huang, Jiqing Wu, Luc Van Gool.
Association for the Advancement of Artificial Intelligence (AAAI), 2019
arXiv

Wasserstein Divergence for GANs

Jiqing Wu, Zhiwu Huang, Janine Thoma, Dinesh Acharya, Luc Van Gool.
European Conference on Computer Vision (ECCV), 2018
arXiv GitHub code

Covariance Pooling for Facial Expression Recognition

Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool.
The workshop DiffCVML in CVPR, 2018
arXiv GitHub code

Building Deep Networks on Grassmann Manifolds

Zhiwu Huang, Jiqing Wu, Luc Van Gool.
Association for the Advancement of Artificial Intelligence (AAAI), 2018
arXiv GitHub code AFEW Grassmannian data

Deep Learning on Lie Groups for Skeleton-based Action Recognition

Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool.
Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight)
PDF arXiv GitHub code G3D LieGroup data

A Riemannian Network for SPD Matrix Learning

Zhiwu Huang and Luc Van Gool.
Association for the Advancement of Artificial Intelligence (AAAI), 2017
PDF arXiv GitHub code AFEW SPD data

Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification

Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xianqiu Li, Xilin Chen.
International Conference on Machine Learning (ICML), 2015 (Oral)
PDF Slides Poster Code



Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition

Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xilin Chen.
Computer Vision and Pattern Recognition (CVPR), 2015
PDF Poster Code




Face Video Retrieval with Image Query via Hashing across Euclidean Space and Riemannian Manifold

Yan Li, Ruiping Wang, Zhiwu Huang, Shiguang Shan, Xilin Chen.
Computer Vision and Pattern Recognition (CVPR), 2015
PDF Code




Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition with Image Sets

Wen Wang, Ruiping Wang, Zhiwu Huang, Shiguang Shan, Xilin Chen.
Computer Vision and Pattern Recognition (CVPR), 2015
PDF Code




Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification

Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xilin Chen.
Computer Vision and Pattern Recognition (CVPR), 2014 (Oral)
PDF SUP Slides Code



Coupling Alignments with Recognition for Still-to-Video Face Recognition

Zhiwu Huang, Xiaowei Zhao, Shiguang Shan, Ruiping Wang, Xilin Chen.
International Conference on Computer Vision (ICCV), 2013
PDF Poster Code Demo


Selected Journal Papers

Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video

Zhiwu Huang, Ruiping Wang, Shiguang Shan, Luc Van Gool, Xilin Chen.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
arXiv



Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition with Image Sets

Wen Wang, Ruiping Wang, Zhiwu Huang, Shiguang Shan, Xilin Chen.
IEEE Transactions on Image Processing (TIP), 2018
PDF



Geometry-aware Similarity Learning on SPD Manifolds for Visual Recognition

Zhiwu Huang, Ruiping Wang, Xianqiu Li, Wenxian Liu, Shiguang Shan, Luc Van Gool, Xilin Chen.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017
arXiv



A Benchmark and Comparative Study of Video-based Face Recognition on COX Face Database

Zhiwu Huang, Shiguang Shan, Ruiping Wang, Haihong Zhang, Shihong Lao, Alifu Kuerban, Xilin Chen.
IEEE Transactions on Image Processing (TIP), 2015
PDF



Face Recognition on Large-scale Video in the Wild with Hybrid Euclidean-and-Riemannian Metric Learning

Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xilin Chen.
Pattern Recognition (PR), 2015
PDF