Xingyu Zeng
Xingyu Zeng
PHD Student of Electronic Engineering, The Chinese University of Hong Kong
Verified email at sensetime.com - Homepage
Title
Cited by
Cited by
Year
Deepid-net: Deformable deep convolutional neural networks for object detection
W Ouyang, X Wang, X Zeng, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
507*2015
T-cnn: Tubelets with convolutional neural networks for object detection from videos
K Kang, H Li, J Yan, X Zeng, B Yang, T Xiao, C Zhang, Z Wang, R Wang, ...
IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2896 …, 2017
3412017
Multi-stage contextual deep learning for pedestrian detection
X Zeng, W Ouyang, X Wang
Proceedings of the IEEE International Conference on Computer Vision, 121-128, 2013
1822013
Modeling mutual visibility relationship in pedestrian detection
W Ouyang, X Zeng, X Wang
Proceedings of the IEEE conference on computer vision and pattern …, 2013
1552013
Deepid-net: multi-stage and deformable deep convolutional neural networks for object detection
W Ouyang, P Luo, X Zeng, S Qiu, Y Tian, H Li, S Yang, Z Wang, Y Xiong, ...
arXiv preprint arXiv:1409.3505, 2014
1442014
Gs3d: An efficient 3d object detection framework for autonomous driving
B Li, W Ouyang, L Sheng, X Zeng, X Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1432019
Crafting gbd-net for object detection
X Zeng, W Ouyang, J Yan, H Li, T Xiao, K Wang, Y Liu, Y Zhou, B Yang, ...
IEEE transactions on pattern analysis and machine intelligence 40 (9), 2109-2123, 2017
1262017
Deep learning of scene-specific classifier for pedestrian detection
X Zeng, W Ouyang, M Wang, X Wang
European Conference on Computer Vision, 472-487, 2014
1242014
Gated bi-directional cnn for object detection
X Zeng, W Ouyang, B Yang, J Yan, X Wang
European conference on computer vision, 354-369, 2016
1162016
Learning mutual visibility relationship for pedestrian detection with a deep model
W Ouyang, X Zeng, X Wang
International Journal of Computer Vision 120 (1), 14-27, 2016
572016
Single-pedestrian detection aided by two-pedestrian detection
W Ouyang, X Zeng, X Wang
IEEE transactions on pattern analysis and machine intelligence 37 (9), 1875-1889, 2014
492014
Partial occlusion handling in pedestrian detection with a deep model
W Ouyang, X Zeng, X Wang
IEEE Transactions on Circuits and Systems for Video Technology 26 (11), 2123 …, 2015
472015
Visual importance and distortion guided deep image quality assessment framework
J Guan, S Yi, X Zeng, WK Cham, X Wang
IEEE Transactions on Multimedia 19 (11), 2505-2520, 2017
422017
Rethinking pseudo-lidar representation
X Ma, S Liu, Z Xia, H Zhang, X Zeng, W Ouyang
European Conference on Computer Vision, 311-327, 2020
322020
Learning deep representation with large-scale attributes
W Ouyang, H Li, X Zeng, X Wang
Proceedings of the IEEE International Conference on Computer Vision, 1895-1903, 2015
242015
Monocular 3D object detection with decoupled structured polygon estimation and height-guided depth estimation
Y Cai, B Li, Z Jiao, H Li, X Zeng, X Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10478 …, 2020
192020
Adapting object detectors with conditional domain normalization
P Su, K Wang, X Zeng, S Tang, D Chen, D Qiu, X Wang
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
162020
Window-object relationship guided representation learning for generic object detections
X Zeng, W Ouyang, X Wang
arXiv preprint arXiv:1512.02736, 2015
62015
Deep Neural Networks for Object Detection
X Zeng
PQDT-Global, 2016
22016
Method for predicting direction of movement of target object, vehicle control method, and device
S Zhang, Z Yang, J Li, Z Xingyu
US Patent App. 17/025,313, 2021
12021
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