Yanjun Zhu
Yanjun Zhu
PhD Candidate, University at Buffalo
Verified email at buffalo.edu
Title
Cited by
Cited by
Year
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
632016
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
442016
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
432016
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
392015
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
322017
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
162016
Two-dimensional subspace alignment for convolutional activations adaptation
H Lu, Z Cao, Y Xiao, Y Zhu
Pattern Recognition 71, 320-336, 2017
122017
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
102017
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
62015
Cp-nas: Child-parent neural architecture search for 1-bit cnns
BZ Li’an Zhuo, H Chen, L Yang, C Chen, Y Zhu, D Doermann
IJCAI, 2020
42020
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
42015
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
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
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
12020
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 App. 17/162,580, 2021
2021
System and method for automated learning from sensors
Q Liu, Y Zhang, LU Yu-Ding, Y Zhu
US Patent App. 16/773,852, 2021
2021
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
2021
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
2021
Cam-Net: Compressed Attentive Multi-Granularity Network For Dynamic Scene Classification
Y Li, W Ding, Y Zhu, Y Huang, Y Jiang, B Zhang
2020 IEEE International Conference on Image Processing (ICIP), 668-672, 2020
2020
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks
BZ Li'an Zhuo, H Chen, L Yang, C Chen, Y Zhu, D Doermann
2020
The system can't perform the operation now. Try again later.
Articles 1–20