| MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video J Zhang, Z Tu*, J Yang, Y Chen, J Yuan IEEE International Conf. Computer Vision and Pattern Recognition (CVPR), 2022 | 289 | 2022 |
| Multi-Stream CNN: Learning Representations Based on Human-Related Regions for Action Recognition JY Zhigang Tu, Wei Xie, Qianqing Qin, Ronald Poppe, RC Veltkamp, Baoxin Li Pattern Recognition 79, 32-43, 2018 | 272 | 2018 |
| Clustering Driven Deep Autoencoder for Video Anomaly Detection Y Chang, Z Tu*, W Xie, J Yuan European Conference on Computer Vision (ECCV), 2020 | 265 | 2020 |
| Video anomaly detection with spatio-temporal dissociation Y Chang, Z Tu*, W Xie, B Luo, S Zhang, H Sui, J Yuan Pattern Recognition 122, 108213, 2022 | 191 | 2022 |
| A survey of variational and CNN-based optical flow techniques Z Tu, W Xie, D Zhang, R Poppe, RC Veltkamp, B Li, J Yuan Signal Processing: Image Communication 72, 9-24, 2019 | 187 | 2019 |
| Action-stage emphasized spatiotemporal VLAD for video action recognition Z Tu, H Li, D Zhang, J Dauwels, B Li, J Yuan IEEE Transactions on Image Processing 28 (6), 2799-2812, 2019 | 172 | 2019 |
| Semantic Cues Enhanced Multi-modality Multi-Stream CNN for Action Recognition Z Tu, W Xie, J Dauwels, B Li, J Yuan IEEE Transactions on Circuits and Systems for Video Technology 29 (5), 1423-1437, 2019 | 123 | 2019 |
| A spatial attentive and temporal dilated (SATD) GCN for skeleton-based action recognition J Zhang, G Ye, Z Tu*, Y Qin, J Zhang, X Liu CAAI Transactions on Intelligence Technology 7 (1), 46-55, 2021 | 114 | 2021 |
| Model-based 3D Hand Reconstruction via Self-Supervised Learning JY Y Chen, Z Tu*, D Kang, L Bao, Y Zhang, X Zhe, R Chen IEEE/CVF Conf. Computer Vision and Pattern Recognition(CVPR), 10451-10460, 2021 | 112* | 2021 |
| So-handnet: Self-organizing network for 3d hand pose estimation with semi-supervised learning Y Chen, Z Tu*, L Ge, D Zhang, R Chen, J Yuan IEEE/CVF International Conference on Computer Vision(ICCV), 6961-6970, 2019 | 105 | 2019 |
| Joint-bone fusion graph convolutional network for semi-supervised skeleton action recognition Z Tu, J Zhang, H Li, Y Chen, J Yuan IEEE Transactions on Multimedia 25, 1819-1831, 2023 | 94 | 2023 |
| Motion-driven Visual Tempo Learning for Video-based Action Recognition Y Liu, J Yuan, Z Tu* IEEE Transactions on Image Processing 31, 4104 - 4116, 2022 | 69 | 2022 |
| Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion JY Y Chen, Z Tu*, D Kang, R Chen, L Bao, Z Zhang IEEE Transactions on Image Processing (TIP) 30, 4008-4021, 2021 | 65* | 2021 |
| Learning motion representation for real-time spatio-temporal action localization D Zhang, L He, Z Tu*, S Zhang, F Han, B Yang Pattern Recognition 103, 107312, 2020 | 65 | 2020 |
| Fusing disparate object signatures for salient object detection in video Z Tu, Z Guo, W Xie, M Yan, RC Veltkamp, B Li, J Yuan Pattern Recognition 72, 285-299, 2017 | 52 | 2017 |
| Zoom Transformer for Skeleton-based Group Activity Recognition J Zhang, Y Jia, W Xie, Z Tu* IEEE Transactions on Circuits and Systems for Video Technology, 2022 | 50 | 2022 |
| Pointwise geometric and semantic learning network on 3D point clouds D Zhang, F He, Z Tu, L Zou, Y Chen Integrated Computer-Aided Engineering 27 (1), 57-75, 2020 | 48 | 2020 |
| A combined post-filtering method to improve accuracy of variational optical flow estimation RCV Zhigang Tu, Nico van der Aa, Coert Van Gemeren Pattern Recognition 47 (5), 1926–1940, 2014 | 48 | 2014 |
| Unsupervised Learning of Optical Flow with CNN-based Non-Local Filtering L Tian, Z Tu*, D Zhang, J Liu, B Li, J Yuan IEEE Transactions on Image Processing (TIP) 29, 8429-8442, 2020 | 46 | 2020 |
| Consistent 3D Hand Reconstruction in Video via Self-Supervised Learning Z Tu, Z Huang, Y Chen, D Kang, L Bao, B Yang, J Yuan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 45 (8 …, 2023 | 44 | 2023 |
Junsong YuanState University of New York at BuffaloΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα buffalo.edu