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Dan Xu
Dan Xu
Assistant Professor, HKUST - VGG, University of Oxford
Zweryfikowany adres z robots.ox.ac.uk - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
5452015
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
4212017
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
3682017
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
3402018
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
2722018
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
2362019
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
2182018
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
1902017
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
1592018
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
1282020
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
1132018
Dynamic graph message passing networks
L Zhang, D Xu, A Arnab, PHS Torr
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
1022020
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
952021
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
942017
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
862021
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
852013
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
832019
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
822018
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
792015
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