I specialize in computer vision and machine learning for artificial general intelligence. My current research focuses on generative AI (GenAI) functions of generation, detection, emotion, and action in computers, devices, and robots, with the potential for broad impact in healthcare, art, and education. My research team has been exploring computer vision and machine learning approaches like diffusion generative modeling, geometric deep learning, and continual deep learning. Ultimately, we aim to make machines more capable and controllable, enabling them to better understand both the physical world and human beings.
OpenSDI: Spotting Diffusion-Generated Images in the Open World. Yabin Wang, Zhiwu Huang*, Xiaopeng Hong. (*indicates corresponding author) . In Computer Vision and Pattern Recognition (CVPR) , 2025. Preprint | Project Page | Data & Code
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning. Yabin Wang, Zhiwu Huang*, Xiaopeng Hong*. (*indicates corresponding author) . In Conference on Neural Information Processing Systems (NeurIPS) , 2022. Paper | OpenReview | Presentation@ContinualAI | Code
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials.
Chuqiao Li, Zhiwu Huang*, Danda Pani Paudel , Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, Luc Van Gool . (*indicates corresponding author) .
In Winter Conference on Applications of Computer Vision (WACV), 2023. Preprint
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
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
A Riemannian Network for SPD Matrix Learning. Zhiwu Huang, Luc Van Gool .
In Association for the Advancement of Artificial Intelligence (AAAI), 2017. Paper |
Code Extension: 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
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
Neural Architecture Search of SPD Manifold Networks. Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar , Erik Goron Endsjo, Yan Wu, Luc Van Gool . In International Joint Conference on Artificial Intelligence (IJCAI), 2021. Paper
Facial Emotion Recognition with Noisy Multi-task Annotations. Siwei Zhang, Zhiwu Huang, Danda Pani Paudel , Luc Van Gool . In Winter Conference on Applications of Computer Vision (WACV), 2021 . 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 Extension: Studying Multiple Cues for Human Action Recognition on RGB+D Data. Jonathan Gan, Zhiwu Huang, Danda Pani Paudel Tech. Report (Semester Thesis), 2017. Paper
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
Neural Architecture Search of SPD Manifold Networks. Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar , Erik Goron Endsjo, Yan Wu, Luc Van Gool . In International Joint Conference on Artificial Intelligence (IJCAI), 2021. Paper Extension: Neural Architecture Search on Lie Groups for Skeleton-based Action Recognition. Samuele Serafino, Zhiwu Huang, Suryansh Kumar , Luc Van Gool . Tech. Report (Semester Thesis), 2020. Paper