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Dan Xu
Dan Xu
Assistant Professor, HKUST - VGG, University of Oxford
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1090*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
5542018
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
5442017
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
4242019
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
3872018
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
2692018
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
2592021
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
2532017
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
2422021
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
2292022
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
2142018
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
1992021
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
1862020
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
1662021
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
1602022
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
1592018
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
1532019
Dynamic graph message passing networks
L Zhang, D Xu, A Arnab, PHS Torr
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
1502020
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
1392017
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
1312022
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