Παρακολούθηση
Xingyu Zeng
Xingyu Zeng
SenseTime
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα sensetime.com
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Παρατίθεται από
Παρατίθεται από
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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
764*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
6452017
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
4052019
Rethinking pseudo-lidar representation
X Ma, S Liu, Z Xia, H Zhang, X Zeng, W Ouyang
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
2172020
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
2052013
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
1802014
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
1752017
Modeling mutual visibility relationship in pedestrian detection
W Ouyang, X Zeng, X Wang
Proceedings of the IEEE conference on computer vision and pattern …, 2013
1732013
Gated bi-directional cnn for object detection
X Zeng, W Ouyang, B Yang, J Yan, X Wang
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
1592016
Deep learning of scene-specific classifier for pedestrian detection
X Zeng, W Ouyang, M Wang, X Wang
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
1402014
Tptu: Task planning and tool usage of large language model-based ai agents
J Ruan, Y Chen, B Zhang, Z Xu, T Bao, H Mao, Z Li, X Zeng, R Zhao
NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023
1062023
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
972020
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
912020
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
702017
Learning mutual visibility relationship for pedestrian detection with a deep model
W Ouyang, X Zeng, X Wang
International Journal of Computer Vision 120, 14-27, 2016
672016
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
672015
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
542014
Scale-aware spatio-temporal relation learning for video anomaly detection
G Li, G Cai, X Zeng, R Zhao
European Conference on Computer Vision, 333-350, 2022
332022
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
292015
Tptu-v2: Boosting task planning and tool usage of large language model-based agents in real-world systems
Y Kong, J Ruan, Y Chen, B Zhang, T Bao, S Shi, G Du, X Hu, H Mao, Z Li, ...
arXiv preprint arXiv:2311.11315, 2023
282023
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