well fuck me, @facebook hq, you utter set of wankers. turn my brain to chill for a few days & come back and you fucked my fb account, by removing any any .gif or artwork i post and targeting my posts with your "Non Fact Checker", lucky for me im not as thick as you, its called a screen grab ya thick fuck's like this, see images. how is me sharing a post saying coronavirus isnt a new disease, false info?, when the page it opens up says pretty much the same thing, but tries weakly to blame mother fucking bats?!?, i mean really says i, i've never heard such utter garbage in my life, well this just gets better and better the fucker from the article publishers Zhu et al also work on many discriminatory projects in china, such as invasive facial recognition through a matrix scatter technique and people tracking Via gait recognition ,
[Gait
Human Description. Human gait refers to locomotion achieved through the movement of human limbs. Human gait is defined as bipedal, biphasic forward propulsion of center of gravity of the human body, in which there are alternate sinuous movements of different segments of the body with least expenditure of energy. Wikipedia]
fake book and planted scientist references
[Scientific research on 2019-nCoV is ongoing. This review will be updated as new information becomes available.]
REFERENCES
1 – Zhu et al. (2020) A Novel Coronavirus from Patients with Pneumonia in China, 2019. New England Journal of Medicine.
2 – Lu et al. (2020) Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. The Lancet.
3 – Zhou et al. (2020) Discovery of a novel coronavirus associated with the recent pneumonia outbreak in humans and its potential bat origin. bioRxiv. [Note: This report is a pre-print; readers are cautioned that its findings have not yet undergone peer review or been published in a journal at the time of this review’s publication.]
digging into their other projects.
Zhao, R., Ouyang, W., & Wang, X. (2013). Unsupervised salience learning for person re-identification. In IEEE conference on computer vision and pattern recognition. Zhao, R., Ouyang, W., & Wang, X. (2013). Unsupervised salience learning for person re-identification. In IEEE conference on computer vision and pattern recognition.Rui Zhao
SenseTime Group Limited
確認したメール アドレス: sensetime.com - ホームページ
DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification
W Li, R Zhao, T Xiao, X Wang
IEEE Conference of Computer Vision and Pattern Recognition (CVPR) 1263 2014
Unsupervised Salience Learning for Person Re-identification
R Zhao, W Ouyang, X Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 945 2013
Saliency Detection by Multi-Context Deep Learning
R Zhao, W Ouyang, H Li, X Wang
IEEE Conference of Computer Vision and Pattern Recognition (CVPR), 1265-1274 594 2015
Learning Midlevel Filters for Person Reidentification
R Zhao, W Ouyang, X Wang
IEEE Conference of Computer Vision and Pattern Recognition (CVPR) 538 2014
Human Reidentification with Transferred Metric Learning
W Li, R Zhao, X Wang
Asian Conference on Computer Vision (ACCV) 493 2012
Person Re-Identification by Salience Matching
R Zhao, W Ouyang, X Wang
IEEE International Conference on Computer Vision (ICCV), 2528-2535 472 2013
A comprehensive study on cross-view gait based human identification with deep cnns
Z Wu, Y Huang, L Wang, X Wang, T Tan
IEEE transactions on pattern analysis and machine intelligence 39 (2), 209-226 184 2016
Person Re-identification by Saliency Learning
R Zhao, W Ouyang, X Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 118 2014
Attention-aware compositional network for person re-identification
J Xu, R Zhao, F Zhu, H Wang, W Ouyang
Proceedings of the IEEE Conference on Computer Vision and Pattern … 111 2018
Highly efficient forward and backward propagation of convolutional neural networks for pixelwise classification
H Li, R Zhao, X Wang
arXiv preprint arXiv:1412.4526 69 2014
Person re-identification: System design and evaluation overview
X Wang, R Zhao
Person Re-Identification, 351-370 45 2014
Counting Vehicles from Semantic Regions
R Zhao, X Wang
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 1-7 33 2013
Crossing-line Crowd Counting with Two-phase Deep Neural Networks
Z Zhao, H Li, R Zhao, X Wang
European Conference on Computer Vision (ECCV), 2016 29 2016
Adacos: Adaptively scaling cosine logits for effectively learning deep face representations
X Zhang, R Zhao, Y Qiao, X Wang, H Li
Proceedings of the IEEE Conference on Computer Vision and Pattern … 5 2019
SVD based linear filtering in DCT domain
L Zhuang, R Zhao, N Yu, B Liu
17th IEEE International Conference on Image Processing (ICIP), 2769-2772 3 2010
P2sgrad: Refined gradients for optimizing deep face models
X Zhang, R Zhao, J Yan, M Gao, Y Qiao, X Wang, H Li
Proceedings of the IEEE Conference on Computer Vision and Pattern … 2 2019
Memory-Based Neighbourhood Embedding for Visual Recognition
S Li, D Chen, B Liu, N Yu, R Zhao
Attention-Aware Compositional Network for Person Re-identification
W Ouyang, H Wang, J Xu, R Zhao, F Zhu
Saliency Learning and Person Re-Identification
R Zhao
論文 1–19
さらに表示
