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
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
4042015
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
3282017
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
2532017
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
2232018
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
1922018
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
1672018
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
1432017
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
126*2013
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
1052019
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
1032018
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
962018
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
732013
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
712015
Online dynamic gesture recognition for human robot interaction
D Xu, X Wu, YL Chen, Y Xu
Journal of Intelligent & Robotic Systems 77 (3), 583-596, 2015
682015
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
652020
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
622018
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
International Conference on Neural Information Processing Systems (NeurIPS), 2017
622017
A novel hand posture recognition system based on sparse representation using color and depth images
D Xu, YL Chen, X Wu, W Feng, H Qian, Y Xu
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013
62*2013
Dynamic graph message passing networks
L Zhang, D Xu, A Arnab, PHS Torr
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
572020
Neural information retrieval: A literature review
Y Zhang, MM Rahman, A Braylan, B Dang, HL Chang, H Kim, ...
arXiv preprint arXiv:1611.06792, 2016
472016
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Articles 1–20