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Peng Chu
Peng Chu
在 microsoft.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Lasot: A high-quality benchmark for large-scale single object tracking
H Fan, L Lin, F Yang, P Chu, G Deng, S Yu, H Bai, Y Xu, C Liao, H Ling
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
13482019
Clustered object detection in aerial images
F Yang, H Fan, P Chu, E Blasch, H Ling
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
3032019
Famnet: Joint learning of feature, affinity and multi-dimensional assignment for online multiple object tracking
P Chu, H Ling
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2572019
Feature space augmentation for long-tailed data
P Chu, X Bian, S Liu, H Ling
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
2422020
Transmot: Spatial-temporal graph transformer for multiple object tracking
P Chu, J Wang, Q You, H Ling, Z Liu
Proceedings of the IEEE/CVF Winter Conference on applications of computer …, 2023
2072023
Lasot: A high-quality large-scale single object tracking benchmark
H Fan, H Bai, L Lin, F Yang, P Chu, G Deng, S Yu, Harshit, M Huang, J Liu, ...
International Journal of Computer Vision 129, 439-461, 2021
1342021
Online multi-object tracking with instance-aware tracker and dynamic model refreshment
P Chu, H Fan, CC Tan, H Ling
2019 IEEE winter conference on applications of computer vision (WACV), 161-170, 2019
1322019
Using octuplet siamese network for osteoporosis analysis on dental panoramic radiographs
P Chu, C Bo, X Liang, J Yang, V Megalooikonomou, F Yang, B Huang, ...
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
472018
Gmot-40: A benchmark for generic multiple object tracking
H Bai, W Cheng, P Chu, J Liu, K Zhang, H Ling
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
332021
Rank-1 tensor approximation for high-order association in multi-target tracking
X Shi, H Ling, Y Pang, W Hu, P Chu, J Xing
International Journal of Computer Vision 127, 1063-1083, 2019
332019
Lifelong unsupervised domain adaptive person re-identification with coordinated anti-forgetting and adaptation
Z Huang, Z Zhang, C Lan, W Zeng, P Chu, Q You, J Wang, Z Liu, Z Zha
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
242022
Osteoporosis prescreening using dental panoramic radiographs feature analysis
C Bo, X Liang, P Chu, J Xu, D Wang, J Yang, V Megalooikonomou, H Ling
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
202017
TracKlinic: Diagnosis of challenge factors in visual tracking
H Fan, F Yang, P Chu, Y Lin, L Yuan, H Ling
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
182021
MMPTRACK: Large-scale densely annotated multi-camera multiple people tracking benchmark
X Han, Q You, C Wang, Z Zhang, P Chu, H Hu, J Wang, Z Liu
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
152023
Deep frequency filtering for domain generalization
S Lin, Z Zhang, Z Huang, Y Lu, C Lan, P Chu, Q You, J Wang, Z Liu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
142023
Kinetics of 90 domain wall motions and high frequency mesoscopic dielectric response in strained ferroelectrics: a phase-field simulation
P Chu, DP Chen, YL Wang, YL Xie, ZB Yan, JG Wan, JM Liu, JY Li
Scientific reports 4 (1), 5007, 2014
132014
Map3d: registration-based multi-object tracking on 3d serial whole slide images
R Deng, H Yang, A Jha, Y Lu, P Chu, AB Fogo, Y Huo
IEEE transactions on medical imaging 40 (7), 1924-1933, 2021
122021
Scene parsing via dense recurrent neural networks with attentional selection
H Fan, P Chu, LJ Latecki, H Ling
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1816-1825, 2019
122019
Real-space anisotropic dielectric response in a multiferroic skyrmion lattice
P Chu, YL Xie, Y Zhang, JP Chen, DP Chen, ZB Yan, JM Liu
Scientific Reports 5 (1), 8318, 2015
112015
Structure-aware rank-1 tensor approximation for curvilinear structure tracking using learned hierarchical features
P Chu, Y Pang, E Cheng, Y Zhu, Y Zheng, H Ling
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
92016
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