| Learning deep representations of appearance and motion for anomalous event detection D Xu, E Ricci, Y Yan, J Song, N Sebe British Machine Vision Conference (BMVC), 2015 | 416 | 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 | 343 | 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 | 266 | 2017 |
| 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 | 228 | 2018 |
| 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 | 200 | 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 | 172 | 2018 |
| 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 | 149 | 2017 |
| Hierarchical activity discovery within spatio-temporal context for video anomaly detection D Xu, X Wu, D Song, N Li, YL Chen IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2013 | 128* | 2013 |
| 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 | 122 | 2019 |
| 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 | 111 | 2018 |
| Neural information retrieval: At the end of the early years KD Onal, Y Zhang, IS Altingovde, MM Rahman, P Karagoz, A Braylan, ... Springer Information Retrieval Journal 21 (2), 111-182, 2018 | 100 | 2018 |
| Local class-specific and global image-level generative adversarial networks for semantic-guided scene generation H Tang, D Xu, Y Yan, PHS Torr, N Sebe IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 76 | 2020 |
| 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 | 73 | 2015 |
| 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 | 73 | 2013 |
| Online dynamic gesture recognition for human robot interaction D Xu, X Wu, YL Chen, Y Xu Journal of Intelligent & Robotic Systems 77 (3), 583-596, 2015 | 69 | 2015 |
| 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 (6 …, 2018 | 65 | 2018 |
| 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 International Conference on Neural Information Processing Systems (NeurIPS), 2017 | 62 | 2017 |
| 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/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013 | 62* | 2013 |
| Dynamic graph message passing networks L Zhang, D Xu, A Arnab, PHS Torr IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 61 | 2020 |
| Attention-guided generative adversarial networks for unsupervised image-to-image translation H Tang, D Xu, N Sebe, Y Yan International Joint Conference on Neural Networks (IJCNN), 2019 | 51 | 2019 |
Nicu SebeUniversity of TrentoVerified email at unitn.it
