| 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), 2017 | 1122* | 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 | 578 | 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 | 552 | 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 | 433 | 2019 |
| 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 | 396 | 2018 |
| 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 | 283 | 2021 |
| 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 | 277 | 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 | 274 | 2022 |
| 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 | 259 | 2021 |
| 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 | 254 | 2017 |
| Transformer-based attention networks for continuous pixel-wise prediction G Yang, H Tang, M Ding, D Xu, N Sebe, E Ricci IEEE International Conference on Computer Vision (ICCV), 2021 | 223 | 2021 |
| 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 Oral), 2018 | 211 | 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 | 186 | 2020 |
| Leveraging auxiliary tasks with affinity learning for weakly supervised semantic segmentation L Xu, W Ouyang, M Bennamoun, F Boussaid, F Sohel, D Xu IEEE International Conference on Computer Vision (ICCV), 2021 | 180 | 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 | 178 | 2022 |
| 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 | 172 | 2024 |
| 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 | 165 | 2019 |
| 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 21 (2), 111-182, 2018 | 165 | 2018 |
| 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 | 155 | 2022 |
| Dynamic graph message passing networks L Zhang, D Xu, A Arnab, PHS Torr IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 153 | 2020 |
Nicu SebeUniversity of TrentoZweryfikowany adres z unitn.it
