| 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 156, 117-127, 2017 | 1196* | 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 | 662 | 2018 |
| 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 | 579 | 2017 |
| 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 | 462 | 2019 |
| Gs-slam: Dense visual slam with 3d gaussian splatting C Yan, D Qu, D Xu, B Zhao, Z Wang, D Wang, X Li IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 457 | 2024 |
| 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 | 429 | 2018 |
| Multi-class token transformer for weakly supervised semantic segmentation L Xu, W Ouyang, M Bennamoun, F Boussaid, D Xu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 386 | 2022 |
| 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 | 355 | 2021 |
| Delving into localization errors for monocular 3D object detection X Ma, Y Zhang, D Xu, D Zhou, S Yi, H Li, W Ouyang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 335 | 2021 |
| Depth-aware generative adversarial network for talking head video generation FT Hong, L Zhang, L Shen, D Xu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 292 | 2022 |
| 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 | 289 | 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 | 270 | 2017 |
| DetCLIP: Dictionary-enriched visual-concept paralleled pre-training for open-world detection L Yao, J Han, Y Wen, X Liang, D Xu, W Zhang, Z Li, C Xu, H Xu Advances in Neural Information Processing Systems (NeurIPS), 2022 | 252 | 2022 |
| Unsupervised adversarial depth estimation using cycled generative networks A Pilzer, D Xu, M Puscas, E Ricci, N Sebe International Conference on 3D Vision (3DV Oral), 2018 | 229 | 2018 |
| Leveraging auxiliary tasks with affinity learning for weakly supervised semantic segmentation L Xu, W Ouyang, M Bennamoun, F Boussaid, F Sohel, D Xu IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 217 | 2021 |
| 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 | 209 | 2020 |
| 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 | 193 | 2019 |
| Dynamic graph message passing networks L Zhang, D Xu, A Arnab, PHS Torr IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 173 | 2020 |
| 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 | 162 | 2017 |
| Inverted pyramid multi-task transformer for dense scene understanding H Ye, D Xu European Conference on Computer Vision (ECCV), 2022 | 145 | 2022 |
Nicu SebeUniversity of TrentoVerified email at unitn.it
