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Yanjun Zhu
Yanjun Zhu
Postdoctoral Research Fellow, Northeastern University
Bestätigte E-Mail-Adresse bei northeastern.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
In-field automatic observation of wheat heading stage using computer vision
Y Zhu, Z Cao, H Lu, Y Li, Y Xiao
Biosystems Engineering 143, 28-41, 2016
1242016
In-field cotton detection via region-based semantic image segmentation
Y Li, Z Cao, H Lu, Y Xiao, Y Zhu, AB Cremers
Computers and Electronics in Agriculture 127, 475-486, 2016
942016
Fine-grained maize tassel trait characterization with multi-view representations
H Lu, Z Cao, Y Xiao, Z Fang, Y Zhu, K Xian
Computers and Electronics in Agriculture 118, 143-158, 2015
682015
Region-based colour modelling for joint crop and maize tassel segmentation
H Lu, Z Cao, Y Xiao, Y Li, Y Zhu
Biosystems Engineering 147, 139-150, 2016
642016
Sonicasl: An acoustic-based sign language gesture recognizer using earphones
Y Jin, Y Gao, Y Zhu, W Wang, J Li, S Choi, Z Li, J Chauhan, AK Dey, Z Jin
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021
462021
Sequential optimization for efficient high-quality object proposal generation
Z Zhang, Y Liu, X Chen, Y Zhu, MM Cheng, V Saligrama, PHS Torr
IEEE transactions on pattern analysis and machine intelligence 40 (5), 1209-1223, 2017
442017
Toward good practices for fine-grained maize cultivar identification with filter-specific convolutional activations
H Lu, Z Cao, Y Xiao, Z Fang, Y Zhu
IEEE Transactions on Automation Science and Engineering 15 (2), 430-442, 2016
232016
Cp-nas: Child-parent neural architecture search for 1-bit cnns
B Zhang, H Chen, L Yang, C Chen, Y Zhu, D Doermann
Proceedings of the Twenty-Ninth International Conference on International …, 2021
212021
Towards fine-grained maize tassel flowering status recognition: Dataset, theory and practice
H Lu, Z Cao, Y Xiao, Z Fang, Y Zhu
Applied Soft Computing 56, 34-45, 2017
192017
PIMNet: Physics-Infused Neural Network for Human Motion Prediction
Z Zhang, Y Zhu, R Rai, D Doermann
IEEE Robotics and Automation Letters 7 (4), 8949-8955, 2022
172022
Joint crop and tassel segmentation in the wild
H Lu, Z Cao, Y Xiao, Y Li, Y Zhu
2015 Chinese Automation Congress (CAC), 474-479, 2015
142015
Two-dimensional subspace alignment for convolutional activations adaptation
H Lu, Z Cao, Y Xiao, Y Zhu
Pattern Recognition 71, 320-336, 2017
132017
PB-GCN: Progressive binary graph convolutional networks for skeleton-based action recognition
M Zhao, S Dai, Y Zhu, H Tang, P Xie, Y Li, C Liu, B Zhang
Neurocomputing 501, 640-649, 2022
122022
MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation
Z Wang, L Shen, D Zhan, Q Suo, Y Zhu, T Duan, M Gao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
112023
Defending against data-free model extraction by distributionally robust defensive training
Z Wang, L Shen, T Liu, T Duan, Y Zhu, D Zhan, D Doermann, M Gao
Advances in Neural Information Processing Systems 36, 624-637, 2023
102023
A novel denoising autoencoder assisted segmentation algorithm for cotton field
Y Li, Z Cao, Y Xiao, H Lu, Y Zhu
2015 Chinese Automation Congress (CAC), 588-593, 2015
92015
System and method for vision-based joint action and pose motion forecasting
Y Zhu, Y Zhang, Q Liu, A Girgensohn, D Avrahami, F Chen, H Hu
US Patent 10,911,775, 2021
62021
Fine-grained maize cultivar identification using filter-specific convolutional activations
H Lu, Z Cao, Y Xiao, Z Fang, Y Zhu
2016 IEEE International Conference on Image Processing (ICIP), 3718-3722, 2016
62016
System and method for automated learning from sensors
Q Liu, Y Zhang, LU Yu-Ding, Y Zhu
US Patent 11,507,778, 2022
52022
What and How? Jointly Forecasting Human Action and Pose
Y Zhu, D Doermann, Y Zhang, Q Liu, A Girgensohn
2020 25th International Conference on Pattern Recognition (ICPR), 771-778, 2021
42021
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