| 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 | 333 | 2015 |
| Multi-scale continuous crfs as sequential deep networks for monocular depth estimation D Xu, E Ricci, W Ouyang, X Wang, N Sebe IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 274 | 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 | 207 | 2017 |
| Structured attention guided convolutional neural fields for monocular depth estimation D Xu, W Wang, H Tang, H Liu, N Sebe, E Ricci IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 154 | 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/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 150 | 2018 |
| Group consistent similarity learning via deep CRFs for person re-identification D Chen, D Xu, H Li, N Sebe, X Wang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 146 | 2018 |
| 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:1411.02553, 2014 | 117* | 2014 |
| Learning cross-modal deep representations for robust pedestrian detection D Xu, W Ouyang, E Ricci, X Wang, N Sebe IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 114 | 2017 |
| Online dynamic gesture recognition for human robot interaction D Xu, X Wu, YL Chen, Y Xu Springer Journal of Intelligent and Robotic Systems 77 (3-4), 583-596, 2015 | 110* | 2015 |
| Neural information retrieval: At the end of the early years KD Onal, Y Zhang, IS Altingovde, MM Rahman, P Karagoz, A Braylan, ... Information Retrieval Journal 21 (2-3), 111-182, 2018 | 84 | 2018 |
| 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), 2018 | 78 | 2018 |
| Visual detection of arginine based on the unique guanidino group-induced aggregation of gold nanoparticles W Pu, H Zhao, C Huang, L Wu, D Xu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2013 | 71 | 2013 |
| Spatio-temporal context analysis within video volumes for anomalous-event detection and localization N Li, X Wu, D Xu, H Guo, W Feng Neurocomputing 155, 309-319, 2015 | 65 | 2015 |
| Multi-channel attention selection gan with cascaded semantic guidance for cross-view image translation H Tang, D Xu, N Sebe, Y Wang, JJ Corso, Y Yan IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 60 | 2019 |
| 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 | 52 | 2017 |
| Monocular depth estimation using multi-scale continuous CRFs as sequential deep networks D Xu Ricci, W Ouyang, X Wang, N Sebe IEEE transactions on pattern analysis and machine intelligence (TPAMI) 41 …, 2018 | 51 | 2018 |
| Neural information retrieval: A literature review Y Zhang, MM Rahman, A Braylan, B Dang, HL Chang, H Kim, ... arXiv preprint arXiv:1611.06792, 2016 | 38 | 2016 |
| 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 | 36* | 2013 |
| Background subtraction using local SVD binary pattern L Guo, D Xu, Z Qiang IEEE/CVF conference on computer vision and pattern recognition (CVPR), 2016 | 35 | 2016 |
| GestureGAN for hand gesture-to-gesture translation in the wild H Tang, W Wang, D Xu, Y Yan, N Sebe The 26th ACM International Conference on Multimedia (ACM MM), 2018 | 33 | 2018 |
Nicu SebeUniversity of TrentoVerified email at unitn.it
