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.
11/2018, One paper "Manifold-valued Image Generation with Wasserstein Generative Adversarial Nets" is accepted by AAAI 2019. This paper applies the theory of optimal transport on non-compact manifolds from Alessio Figalli (2018 Fields Medal winner) to generative modeling, which is able to generate photo-realistic biological samples.
07/2018, One paper "Wasserstein Divergence for GANs" is accepted by ECCV 2018.
04/2018, One paper "Covariance Pooling for Facial Expression Recognition" is accepted by the workshop DiffCVML in CVPR 2018.
11/2017, One paper "Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video" is accepted as a Regular Paper in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
11/2017, One paper "Building Deep Networks on Grassmann Manifolds" (GrNet) is accepted by AAAI 2018.
08/2017, One paper "Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition with Image Sets" is accepted by IEEE Transactions on Image Processing (TIP).
07/2017, One paper "Geometry-aware Similarity Learning on SPD Manifolds for Visual Recognition" is accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
02/2017, One paper "Deep Learning on Lie Groups for Skeleton-based Action Recognition" (LieNet) is accepted as a spotlight by CVPR 2017. This paper proposes deep networks of Lie Groups for skeleton-based action recognition.
11/2016, One paper "A Riemannian Network for SPD Matrix Learning" (SPDNet) is accepted by AAAI 2017. This paper opens a new direction of deep manifold networks.
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
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
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
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
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.