Подписаться
Yanjun Zhu
Yanjun Zhu
PhD Candidate, University at Buffalo
Подтвержден адрес электронной почты в домене buffalo.edu
Название
Процитировано
Процитировано
Год
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
832016
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
642016
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
532016
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
522015
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
362017
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
212016
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
142017
Two-dimensional subspace alignment for convolutional activations adaptation
H Lu, Z Cao, Y Xiao, Y Zhu
Pattern Recognition 71, 320-336, 2017
122017
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
112021
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
102015
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
92021
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
72015
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
32016
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
22021
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks
L Zhuo, B Zhang, H Chen, L Yang, C Chen, Y Zhu, D Doermann
arXiv preprint arXiv:2005.00057, 2020
22020
Selecting Informative Frames for Action Recognition with Partial Observations
Y Zhu, G Yu, J Yuan, KK Ma
2018 25th IEEE International Conference on Image Processing (ICIP), 465-469, 2018
22018
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
12022
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
12021
System and method for automated learning from sensors
Q Liu, Y Zhang, LU Yu-Ding, Y Zhu
US Patent 11,507,778, 2022
2022
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
2022
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20