| Violence detection using oriented violent flows Y Gao, H Liu, X Sun, C Wang, Y Liu Image and Vision Computing 48, 37-41, 2016 | 276 | 2016 |
| Sequential bag-of-words model for human action classification H Liu, H Tang, W Xiao, ZY Guo, L Tian, Y Gao CAAI Transactions on Intelligence Technology 1 (2), 125-136, 2016 | 34 | 2016 |
| Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition J Liu, X Wang, C Wang, Y Gao, M Liu IEEE Transactions on Multimedia, 2023 | 33 | 2023 |
| A new descriptor of gradients self-similarity for smile detection in unconstrained scenarios Y Gao, H Liu, P Wu, C Wang Neurocomputing 174, 1077-1086, 2016 | 29 | 2016 |
| Scene-adaptive hierarchical data association for multiple objects tracking C Wang, H Liu, Y Gao IEEE Signal Processing Letters (SPL) 21 (6), 697-701, 2014 | 22 | 2014 |
| Gender identification in unconstrained scenarios using self-similarity of gradients features H Liu, Y Gao, C Wang IEEE International Conference on Image Processing (ICIP), 5911-5915, 2014 | 20 | 2014 |
| Dynamic Dense Graph Convolutional Network for Skeleton-based Human Motion Prediction X Wang, W Zhang, C Wang, Y Gao, M Liu IEEE Transactions on Image Processing 33, 1-15, 2023 | 14 | 2023 |
| Parallax view generation for static scenes using parallax-interpolation adaptive separable convolution Y Gao, R Koch IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-4, 2018 | 10 | 2018 |
| Spontaneous versus posed smile recognition via region-specific texture descriptor and geometric facial dynamics P Wu, H Liu, X Zhang, Y Gao Frontiers of Information Technology & Electronic Engineering 18 (7), 955-967, 2017 | 8 | 2017 |
| Smile detection in unconstrained scenarios using self-similarity of gradients features H Liu, Y Gao, P Wu IEEE International Conference on Image Processing (ICIP), 1455-1459, 2014 | 8 | 2014 |
| How do you smile? Towards a comprehensive smile analysis system P Wu, H Liu, C Xu, Y Gao, Z Li, X Zhang Neurocomputing 235, 245-254, 2017 | 7 | 2017 |
| Scene-adaptive hierarchical data association and depth-invariant part-based appearance model for indoor multiple objects tracking H Liu, C Wang, Y Gao CAAI Transactions on Intelligence Technology 1 (3), 210-224, 2016 | 7 | 2016 |
| MAST: Mask-accelerated shearlet transform for densely-sampled light field reconstruction Y Gao, R Bregovic, A Gotchev, R Koch IEEE International Conference on Multimedia and Expo (ICME), 187-192, 2019 | 6 | 2019 |
| A novel self-calibration method for a stereo-ToF system using a Kinect V2 and two 4K GoPro cameras Y Gao, S Esquivel, R Koch, J Keinert International Conference on 3D Vision (3DV), 21-28, 2017 | 5 | 2017 |
| IEST: Interpolation-enhanced shearlet transform for light field reconstruction using adaptive separable convolution Y Gao, R Koch, R Bregovic, A Gotchev European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 4 | 2019 |
| FAST: Flow-assisted shearlet transform for densely-sampled light field reconstruction Y Gao, R Koch, R Bregovic, A Gotchev IEEE International Conference on Image Processing (ICIP), 3741-3745, 2019 | 3 | 2019 |
| Light field reconstruction using shearlet transform in TensorFlow Y Gao, R Koch, R Bregovic, A Gotchev IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 612-612, 2019 | 3 | 2019 |
| A novel kinect V2 registration method for large-displacement environments using camera and scene constraints Y Gao, S Esquivel, R Koch, M Ziegler, F Zilly, J Keinert IEEE International Conference on Image Processing (ICIP), 997-1001, 2017 | 3 | 2017 |
| A linear method for recovering the depth of Ultra HD cameras using a Kinect V2 sensor Y Gao, M Ziegler, F Zilly, S Esquivel, R Koch IAPR International Conference on Machine Vision Applications (MVA), 494-497, 2017 | 3 | 2017 |
| Synchronized data capture and calibration of a large-field-of-view moving multi-camera light field rig S Esquivel, Y Gao, T Michels, L Palmieri, R Koch 3DTV-CON Workshops 2016, 2016 | 3 | 2016 |
Hong liuProfessor of Computer Science, Peking UniversityVerified email at pkusz.edu.cn
