| Compressed-sensed-domain L1-PCA video surveillance Y Liu, D Pados Proc. SPIE 9484, Compressive Sensing IV, 94840B, 2015 | 89 | 2015 |
| Compress-sensed-domain L1-PCA Video Surveillance Y Liu, DA Pados IEEE Transactions on Multimedia 18 (3), 351-363, 2016 | 87 | 2016 |
| Motion-aware decoding of compressed-sensed video Y Liu, M Li, D Pados IEEE Trans. Circuits and Systems for Video Technology 23, 438-444, 2013 | 79 | 2013 |
| Ntire 2024 challenge on image super-resolution (x4): Methods and results Z Chen, Z Wu, E Zamfir, K Zhang, Y Zhang, R Timofte, X Yang, H Yu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 58 | 2024 |
| FDD: a deep learning–based steel defect detectors F Akhyar, Y Liu, CY Hsu, TK Shih, CY Lin The International Journal of Advanced Manufacturing Technology 126 (3), 1093 …, 2023 | 23 | 2023 |
| Video background tracking and foreground extraction via L1-subspace updates M Pierantozzi, Y Liu, DA Pados, S Colonnese SPIE Commercial + Scientific Sensing and Imaging, 2016 | 22 | 2016 |
| Face recognition with L1-norm subspaces F Maritato, Y Liu, DA Pados, S Colonnese SPIE Commercial + Scientific Sensing and Imaging, 2016 | 20 | 2016 |
| A fast lightweight 3D separable convolutional neural network with multi-input multi-output for moving object detection B Hou, Y Liu, N Ling, L Liu, Y Ren IEEE Access 9, 148433-148448, 2021 | 18 | 2021 |
| A Super-Fast Deep Network for Moving Object Detection B Hou, Y Liu, N Ling IEEE ISCAS, 2020 | 16 | 2020 |
| L1-Subspace Tracking for Streaming Data Y Liu, K Tountas, D Pados, S Batalama, M Medley Pattern Recognition, 2019 | 13 | 2019 |
| Decoding of framewise compressed-sensed video via interframe total variation minimization Y Liu, D Pados SPIE J. Electron. Imaging, Special Issue on Compressive Sensing for Imaging …, 2013 | 13 | 2013 |
| Edge-to-fog computing for color-assisted moving object detection Y Liu, Z Bellay, P Bradsky, G Chandler, B Craig Big Data: Learning, Analytics, and Applications 10989, 9-17, 2019 | 12 | 2019 |
| Deep Learning for Block-level Compressive Video Sensing Y Pei, Y Liu, N Ling IEEE ISCAS, 2020 | 11 | 2020 |
| An end-to-end deep generative network for low bitrate image coding Y Pei, Y Liu, N Ling, Y Ren, L Liu 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | 10 | 2023 |
| Cloud-assisted individual L1-PCA face recognition using wavelet-domain compressed images F Maritato, Y Liu, S Colonnese, DA Pados the 6th European Workshop on Visual Information Process. (EUVIP), 2016 | 10 | 2016 |
| Class-specific neural network for video compressed sensing Y Pei, Y Liu, N Ling, L Liu, Y Ren 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 9 | 2021 |
| Reconstruction of compressed-sensed multiview video with disparity and motion compensated total-variation minimization Y Liu, DA Pados, J Kim, C Zhang IEEE Transactions on Circuits and Systems for Video Technology, 2017 | 9 | 2017 |
| Iterative re-weighted L1-norm principal-component analysis Y Liu, DA Pados, SN Batalama, MJ Medley 2017 51st Asilomar Conference on Signals, Systems, and Computers, 425-429, 2017 | 8 | 2017 |
| Quad-tree partitioned compressed sensing for depth map coding Y Liu, KR Vijayanagar, J Kim 2014 IEEE International Conference on Acoustic, Speech, and Signal …, 2014 | 8 | 2014 |
| A survey of efficient deep learning models for moving object segmentation B Hou, Y Liu, N Ling, Y Ren, L Liu APSIPA Transactions on Signal and Information Processing 12 (1), 2023 | 7 | 2023 |
