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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) 156, 117-127, 2017
994*2017
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
4912017
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
4622018
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
3702019
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
3362018
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
2472018
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
2272017
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
1872021
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
1842018
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
1682020
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
1632021
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
1382021
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
1382018
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
1292019
Dynamic graph message passing networks
L Zhang, D Xu, A Arnab, PHS Torr
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
1272020
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
1232017
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
1222022
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
1182021
Video anomaly detection based on a hierarchical activity discovery within spatio-temporal contexts
D Xu, R Song, X Wu, N Li, W Feng, H Qian
arXiv preprint arXiv:2005.11182, 2014
1182014
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
1042018
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Articles 1–20