| A Riemannian Network for SPD Matrix Learning Z Huang, L Van Gool Proceedings of the AAAI conference on artificial intelligence, 2017. AAAI …, 2017 | 463 | 2017 |
| Deep Learning on Lie Groups for Skeleton-based Action Recognition Z Huang, C Wan, T Probst, L Van Gool Computer Vision and Pattern Recognition, 2017. CVPR 2017. IEEE Conference on …, 2017 | 334 | 2017 |
| Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification Z Huang, R Wang, S Shan, X Li, X Chen International Conference on Machine Learning, 2015. ICML 2015., 720-729, 2015 | 301 | 2015 |
| Projection Metric Learning on Grassmann Manifold with Application to Video Based Face Recognition Z Huang, R Wang, S Shan, X Chen Computer Vision and Pattern Recognition, 2015. CVPR 2015. IEEE Conference …, 2015 | 289 | 2015 |
| Wasserstein Divergence for GANs J Wu, Z Huang, J Thoma, D Achary, L Van Gool Proceedings of the European Conference on Computer Vision (ECCV) 2018 (arXiv …, 2018 | 241 | 2018 |
| Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild M Liu, R Wang, S Li, S Shan, Z Huang, X Chen Proceedings of the 16th International Conference on Multimodal Interaction …, 2014 | 223 | 2014 |
| Covariance pooling for facial expression recognition D Acharya, Z Huang, D Pani Paudel, L Van Gool Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 221 | 2018 |
| Building Deep Networks on Grassmann Manifolds Z Huang, J Wu, L Van Gool Association for the Advancement of Artificial Intelligence, 2018. AAAI 2018, 2018 | 194 | 2018 |
| S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning Y Wang, Z Huang, X Hong Proceedings of the Conference on Neural Information Processing Systems …, 2022 | 185 | 2022 |
| Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition with Image Sets W Wang, W Ruiping, Z Huang, S Shan, C Xilin IEEE Transactions on Image Processing 27 (1), 151-163, 2018 | 184 | 2018 |
| Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition with Image Sets W Wang, R Wang, H Zhiwu, S Shiguang, X Chen Proceedings of the IEEE conference on computer vision and pattern recognition, 2015 | 184 | 2015 |
| A Benchmark and Comparative Study of Video-based Face Recognition on COX Face Database Z Huang, S Shan, R Wang, H Zhang, S Lao, A Kuerban, X Chen IEEE Transactions on Image Processing 24 (12), 5967-5981, 2015 | 175 | 2015 |
| Sliced Wasserstein Generative Models J Wu, Z Huang, D Acharya, W Li, J Thoma, DP Paudel, L Van Gool Computer Vision and Pattern Recognition, 2019. CVPR 2019. IEEE Conference on …, 2019 | 143 | 2019 |
| Face Recognition on Large-scale Video in the Wild with Hybrid Euclidean-and-Riemannian Metric Learning Z Huang, R Wang, S Shan, X Chen Pattern Recognition 48 (10), 3113-3124, 2015 | 114 | 2015 |
| Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification Z Huang, R Wang, S Shan, X Chen Proceedings of the IEEE conference on computer vision and pattern recognition, 2014 | 110 | 2014 |
| Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video Z Huang, R Wang, S Shan, L Van Gool, X Chen IEEE transactions on pattern analysis and machine intelligence 40 (12), 2827 …, 2018 | 85 | 2018 |
| Partial Least Squares Regression on Grassmannian Manifold for Emotion Recognition M Liu, R Wang, Z Huang, S Shan, X Chen Proceedings of the 15th ACM on International conference on multimodal …, 2013 | 80 | 2013 |
| Face video retrieval with image query via hashing across Euclidean space and Riemannian manifold Y Li, R Wang, Z Huang, S Shan, X Chen Computer Vision and Pattern Recognition, 2015. CVPR 2015. IEEE Conference …, 2015 | 79 | 2015 |
| Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search Y Tian, Q Wang, Z Huang, W Li, D Dai, M Yang, J Wang, O Fink Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 73 | 2020 |
| Towards high resolution video generation with progressive growing of sliced Wasserstein GAN D Acharya, Z Huang, DP Paudel, L Van Gool arXiv preprint arXiv:1706.02631, 2017 | 66 | 2017 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEVerified email at insait.ai
