Zhiwu Huang

I am a postdoctoral researcher with Prof. Luc Van Gool at Computer Vision Lab, ETH Zurich . My research interest lies in Computer Vision and Machine Learning for Automated Video Artificial Intelligence, capable of autmatically learning to understand the world through videos.

I will be starting as an Assistant Professor (tenure-track) in the School of Information System at Singapore Management University (SMU) in 2021. Please follow the instructions to reach me if you are interested in joining my research group as a Ph.D. student.

News

  • 08/2020, One paper "AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results" will appear at the workshop AIM in conjunction with ECCV 2020.
  • 07/2020, One paper "Weakly Paired Multi-Domain Image Translation" is accepted by BMVC 2020 as an oral.
  • 07/2020, One paper "Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search" is accepted by ECCV 2020.
  • 05/2020, We are organizing AIM Video Super-Resolution Challenge @ECCV 2020.
  • 05/2020, One paper "NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results" will appear at the workshop NTIRE in conjunction with CVPR 2020.
  • 12/2019, We are organizing NTIRE Video Quality Mapping Challenge @CVPR 2020.
  • 10/2019, One dataset paper "The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping" will appear at the workshop AIM in ICCV 2019.
  • 10/2019, We are organizing a workshop "AIM: Advances in Image Manipulation Workshop and Challenges on Image and Video Manipulation" and a tutorial "FIRE: From Image Restoration to Enhancement and Beyond" at ICCV, Oct. 27, 2019.
  • 02/2019, One paper "Sliced Wasserstein Generative Models" is accepted by CVPR 2019. This paper was selected as one of the best publications of the week (20.04.2019), by DeepAI. Link to DeepAI Website
  • Older news...
  • Research

    Memembers

  • Suryansh Kumar (Postdoc researcher), Nov. 2019 - Present, with Luc Van Gool
  • Anton Obukhov (PhD candidate), Feb. 2020 - Present, with Dengxin Dai , Stamatios Georgoulis , Luc Van Gool
  • Yuan Tian (PhD candidate), Feb. 2020 - Present, with Wen Li , Dengxin Dai , Olga Fink
  • Qin Wang (PhD candidate), Feb. 2020 - Present, with Wen Li , Dengxin Dai , Olga Fink
  • Mohamad Shahbazi (PhD candidate), Nov. 2019 - Present, with Danda Pani Paudel , Ajad Chhatkuli , Luc Van Gool
  • Dario Fuoli (PhD candidate), June 2019 - Present, with Radu Timofte , Danda Pani Paudel , Martin Danelljan , Luc Van Gool
  • Jiqing Wu (PhD, graduated), Nov. 2016 - March 2020, with Luc Van Gool
  • Projects

    Video Generation

    Source Code | TrailerFace Dataset

    Sliced Wasserstein Generative Models. Jiqing Wu* , Zhiwu Huang*, Dinesh Acharya, Wen Li , Janine Thoma , Danda Pani Paudel , Luc Van Gool . (*indicates equal contributions). In Computer Vision and Pattern Recognition (CVPR), 2019 . Paper | Code

    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. Paper | Code

    Improving Video Generation for Multi-functional Applications. Bernhard Kratzwald , Zhiwu Huang, Danda Pani Paudel , Dinesh Acharya , Luc Van Gool . arXiv:1711.11453, 2017. Paper | Project Page

    Wasserstein Divergence for GANs. Jiqing Wu , Zhiwu Huang, Janine Thoma , Dinesh Acharya, Luc Van Gool . In European Conference on Computer Vision (ECCV), 2018 . Paper | Code

    Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. Yuan Tian*, Qin Wang*, Zhiwu Huang, Wen Li, Dengxin Dai , Minghao Yang , Jun Wang , Olga Fink. (*indicates equal contributions) . In European Conference on Computer Vision (ECCV), 2020 . Paper | Code

    Video Enhancement

    Video Quality Mapping Challenge | Video Super-Resolution Challenge

    Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement. Zhiwu Huang, Danda Pani Paudel , Dario Fuoli , Guanju Li , Jiqing Wu , Radu Timofte , Luc Van Gool . arXiv:1910.10455, 2019 . Paper

    NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. Dario Fuoli , Zhiwu Huang, Martin Danelljan, Radu Timofte and et al. In Computer Vision and Pattern Recognition (CVPR) workshop, 2020 . Paper

    AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results. Dario Fuoli , Zhiwu Huang, Radu Timofte and et al. In European Conference on Computer Vision (ECCV) workshop, 2020 . Paper

    The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping. Sohyeong Kim, Guanju Li, Dario Fuoli , Martin Danelljan , Zhiwu Huang, Shuhang Gu , Radu Timofte . In International Conference on Computer Vision (ICCV) workshop, 2019 . Paper

    Video Classification

    Source Code | G3D LieGroupData

    Neural Architecture Search of SPD Manifold Networks. Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar , Erik Goron Endsjo, Yan Wu, Luc Van Gool . arXiv:2010.14535, 2020. Paper

    A Riemannian Network for SPD Matrix Learning. Zhiwu Huang, Luc Van Gool . In Association for the Advancement of Artificial Intelligence (AAAI), 2017. Paper | Code

    Covariance Pooling for Facial Expression Recognition. Dinesh Acharya , Zhiwu Huang, Danda Pani Paudel , Luc Van Gool . In Computer Vision and Pattern Recognition (CVPR) workshop, 2018 . Paper | Code

    Deep Learning on Lie Groups for Skeleton-based Action Recognition. Zhiwu Huang, Chengde Wan , Thomas Probst , Luc Van Gool . In Computer Vision and Pattern Recognition (CVPR), 2017 . Paper | Code | Spotlight

    Building Deep Networks on Grassmann Manifolds. Zhiwu Huang, Jiqing Wu , Luc Van Gool . In Association for the Advancement of Artificial Intelligence (AAAI), 2018. Paper | Code