| 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 | 545 | 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 | 421 | 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 | 368 | 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 | 340 | 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 | 272 | 2018 |
| 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 | 236 | 2019 |
| 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 | 218 | 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 | 190 | 2017 |
| Unsupervised adversarial depth estimation using cycled generative networks A Pilzer, D Xu, M Puscas, E Ricci, N Sebe International conference on 3D vision (3DV), 2018 | 159 | 2018 |
| 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 | 140* | 2013 |
| 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 | 128 | 2020 |
| 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 | 113 | 2018 |
| Dynamic graph message passing networks L Zhang, D Xu, A Arnab, PHS Torr IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 102 | 2020 |
| Attentiongan: Unpaired image-to-image translation using attention-guided generative adversarial networks H Tang, H Liu, D Xu, PHS Torr, N Sebe IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 | 95 | 2021 |
| 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 (NeurIPS), 2017 | 94 | 2017 |
| Delving into localization errors for monocular 3D object detection X Ma, Y Zhang, D Xu, D Zhou, S Yi, H Li, W Ouyang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 86 | 2021 |
| 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 | 85 | 2013 |
| Attention-guided generative adversarial networks for unsupervised image-to-image translation H Tang, D Xu, N Sebe, Y Yan arXiv preprint arXiv:1903.12296, 2019 | 83 | 2019 |
| 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 | 82 | 2018 |
| 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 | 79 | 2015 |
Nicu SebeUniversity of TrentoZweryfikowany adres z unitn.it
