Searching central difference convolutional networks for face anti-spoofing Z Yu, C Zhao, Z Wang, Y Qin, Z Su, X Li, F Zhou, G Zhao IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5295-5305, 2020 | 501 | 2020 |
Pixel Difference Networks for Efficient Edge Detection Z Su, W Liu, Z Yu, D Hu, Q Liao, Q Tian, M Pietikäinen, L Liu International Conference on Computer Vision (ICCV) (oral), 2021 | 301 | 2021 |
Dynamic Group Convolution for Accelerating Convolutional Neural Networks Z Su, L Fang, W Kang, D Hu, M Pietikäinen, L Liu European Conference on Computer Vision (ECCV), 138-155, 2020 | 53 | 2020 |
Dynamic binary neural network by learning channel-wise thresholds J Zhang, Z Su, Y Feng, X Lu, M Pietikäinen, L Liu IEEE International Conference on Acoustics, Speech and Signal Processing …, 2022 | 19 | 2022 |
BIRD: Learning Binary and Illumination Robust Descriptor for Face Recognition. Z Su, M Pietikäinen, L Liu British Machine Vision Conference (BMVC), 102, 2019 | 13 | 2019 |
Deep ladder reconstruction-classification network for unsupervised domain adaptation W Deng, Z Su, Q Qiu, L Zhao, G Kuang, M Pietikäinen, H Xiao, L Liu Pattern Recognition Letters 152, 398-405, 2021 | 12 | 2021 |
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning Z Su, J Zhang, L Wang, H Zhang, Z Liu, M Pietikainen, L Liu* IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 1-18, 2023 | 11 | 2023 |
SVNet: Where SO (3) Equivariance Meets Binarization on Point Cloud Representation Z Su, M Welling, M Pietikäinen, L Liu International Conference on 3D Vision (3DV), 2022 | 7 | 2022 |
Median Pixel Difference Convolutional Network for Robust Face Recognition J Zhang, Z Su, L Liu British Conference on Machine Vision (BMVC), 2021 | 7 | 2021 |
Binary neural network for automated visual surface defect detection W Liu, J Zhang, Z Su, Z Zhou, L Liu Sensors 21 (20), 6868, 2021 | 6 | 2021 |
Beyond vanilla convolution: Random pixel difference convolution for face perception W Liu, Z Su, L Liu IEEE Access 9, 139248-139259, 2021 | 4 | 2021 |
FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond Z Su, L Fang, D Guo, D Hu, M Pietikäinen, L Liu arXiv preprint arXiv:2010.09294, 2020 | 3 | 2020 |
From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learning Z Su, M Pietikäinen, L Liu Scandinavian Conference on Image Analysis (SCIA), 2023 | 2 | 2023 |
Gaussian mixture background for salient object detection Z Su, H Zheng, G Song Proceedings of the 10th international symposium on image and signal …, 2017 | 2 | 2017 |
Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos C Xiao, W An, Y Zhang, Z Su, M Li, W Sheng, M Pietikäinen, L Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 1 | 2024 |
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning H Xu, L Liu, S Zhi, S Fu, Z Su, MM Cheng, Y Liu IEEE Transactions on Image Processing, 2024 | 1 | 2024 |
LBP inspired efficient deep convolutional neural networks for visual representation learning Z Su Doctoral thesis, 2023 | | 2023 |
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution Z Su, J Zhang, T Liu, Z Liu, S Zhang, M Pietikäinen, L Liu IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 | | 2023 |
Boosting Binary Neural Networks via Dynamic Thresholds Learning J Zhang, X Zhang, Z Su, Z Yu, Y Feng, X Lu, M Pietikäinen, L Liu arXiv preprint arXiv:2211.02292, 2022 | | 2022 |