| Learning deep representations of appearance and motion for anomalous event detection D Xu, E Ricci, Y Yan, J Song, N Sebe arXiv preprint arXiv:1510.01553, 2015 | 199 | 2015 |
| Multi-scale continuous crfs as sequential deep networks for monocular depth estimation D Xu, E Ricci, W Ouyang, X Wang, N Sebe IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 160 | 2017 |
| Detecting anomalous events in videos by learning deep representations of appearance and motion D Xu, Y Yan, E Ricci, N Sebe Computer Vision and Image Understanding (CVIU) 156, 117-127, 2017 | 107 | 2017 |
| Online dynamic gesture recognition for human robot interaction D Xu, X Wu, YL Chen, Y Xu Journal of Intelligent & Robotic Systems 77 (3-4), 583-596, 2015 | 95* | 2015 |
| Video anomaly detection based on a hierarchical activity discovery within spatio-temporal contexts D Xu, R Song, X Wu, N Li, W Feng, H Qian arXiv preprint arXiv:1402.0113472, 2014 | 93* | 2014 |
| Group consistent similarity learning via deep CRFs for person re-identification D Chen, D Xu, H Li, N Sebe, X Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 80 | 2018 |
| Learning cross-modal deep representations for robust pedestrian detection D Xu, W Ouyang, E Ricci, X Wang, N Sebe IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 71 | 2017 |
| Structured attention guided convolutional neural fields for monocular depth estimation D Xu, W Wang, H Tang, H Liu, N Sebe, E Ricci IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 60 | 2018 |
| PAD-Net: multi-tasks guided prediction-and-distillation network for simultaneous depth estimation and scene parsing D Xu, W Ouyang, X Wang, N Sebe IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 54 | 2018 |
| Spatio-temporal context analysis within video volumes for anomalous-event detection and localization N Li, X Wu, D Xu, H Guo, W Feng arXiv preprint arXiv:1502.012276, 2015 | 49 | 2015 |
| A novel hand posture recognition system based on sparse representation using color and depth images D Xu, YL Chen, X Wu, W Feng, H Qian, Y Xu IEEE International Conference on Intelligent Robots and Systems (IROS), 2013 | 39* | 2013 |
| Unsupervised adversarial depth estimation using cycled generative networks A Pilzer, D Xu, M Puscas, E Ricci, N Sebe IEEE International Conference on 3D Vision (3DV), 587-595, 2018 | 36 | 2018 |
| Monocular depth estimation using multi-scale continuous CRFs as sequential deep networks D Xu, E Ricci, W Ouyang, X Wang, N Sebe IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (6), 1426-1440, 2018 | 26 | 2018 |
| Background subtraction using local SVD binary pattern L Guo, D Xu, Z Qiang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 25 | 2016 |
| Joint time and frequency dissemination network over delay-stabilized fiber optic links W Chen, Q Liu, N Cheng, D Xu, F Yang, Y Gui, H Cai IEEE Photonics Journal 7 (3), 1-9, 2015 | 23 | 2015 |
| Learning deep structured multi-scale features using attention-gated CRFs for contour prediction D Xu, W Ouyang, X Alameda-Pineda, E Ricci, X Wang, N Sebe Advances in Neural Information Processing Systems (NIPS), 2017 | 22 | 2017 |
| GestureGAN for hand gesture-to-gesture translation in the wild H Tang, W Wang, D Xu, Y Yan, N Sebe ACM International Conference on Multimedia (ACM MM), 2018 | 21 | 2018 |
| Every smile is unique: landmark-guided diverse smile generation W Wang, X Alameda-Pineda, D Xu, P Fua, E Ricci, N Sebe IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 21 | 2018 |
| Dynamic gesture recognition using 3D trajectory Q Wang, YR Xu, X Bai, D Xu, YL Chen, X Wu arXiv preprint arXiv:1507.01893, 2014 | 21 | 2014 |
| Viraliency: pooling local virality X Alameda-Pineda, A Pilzer, D Xu, E Ricci, N Sebe IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 20 | 2017 |
Nicu SebeUniversity of TrentoVerified email at unitn.it
