Anbang Yao
Anbang Yao
PE, Principal Research Scientist, Intel Labs China
Verified email at - Homepage
Cited by
Cited by
Incremental network quantization: Towards lossless cnns with low-precision weights
A Zhou, A Yao(†,corresponding author), Y Guo, L Xu, Y Chen
ICLR 2017. arXiv preprint arXiv:1702.03044, 2017
Dynamic network surgery for efficient dnns
Y Guo, A Yao†, Y Chen
NIPS 2016. Advances In Neural Information Processing Systems, 1379-1387, 2016
Hypernet: Towards accurate region proposal generation and joint object detection
T Kong, A Yao†, Y Chen, F Sun
CVPR 2016. Proceedings of the IEEE conference on computer vision and pattern …, 2016
Ron: Reverse connection with objectness prior networks for object detection
T Kong, F Sun, A Yao†, H Liu, M Lu, Y Chen
CVPR 2017. IEEE Conference on Computer Vision and Pattern Recognition 1, 2, 2017
Capturing au-aware facial features and their latent relations for emotion recognition in the wild
A Yao†, J Shao, N Ma, Y Chen
ACM ICMI 2015. Proceedings of the 2015 ACM on International Conference on …, 2015
Learning supervised scoring ensemble for emotion recognition in the wild
P Hu, D Cai, S Wang, A Yao(*, Project leader), Y Chen
ACM ICMI 2017.Proceedings of the 19th ACM International Conference on …, 2017
Efficient facial landmark tracking using online shape regression method
A Yao, Y Du, X Tong, T Wang, Y Chen, J Li, J Ye, W Li, Y Zhang
US Patent 9,361,510, 2016
Network sketching: Exploiting binary structure in deep cnns
Y Guo, A Yao, H Zhao, Y Chen
CVPR 2017. arXiv preprint arXiv:1706.02021, 2017
HoloNet: towards robust emotion recognition in the wild
A Yao†, D Cai, P Hu, S Wang, L Sha, Y Chen
ACM ICMI 2016. Proceedings of the 18th ACM International Conference on …, 2016
Learning Two-View Correspondences and Geometry Using Order-Aware Network
J Zhang, D Sun, Z Luo, A Yao†, L Zhou, T Shen, Y Chen, L Quan, H Liao
ICCV 2019. arXiv preprint arXiv:1908.04964, 2019
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks
A Zhou, A Yao†, K Wang, Y Chen
CVPR 2018. Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
A compact association of particle filtering and kernel based object tracking
A Yao, X Lin, G Wang, S Yu
Pattern Recognition 45 (7), 2584-2597, 2012
Decoder Network over Lightweight Reconstructed Feature for Fast Semantic Style Transfer
M Lu, H Zhao, A Yao†, F Xu, Y Chen, L Zhang
ICCV 2017. Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Efficient Semantic Scene Completion Network with Spatial Group Convolution
J Zhang, H Zhao, A Yao†, Y Chen, L Zhang, H Liao
ECCV 2018. Proceedings of the European Conference on Computer Vision, 733-749, 2018
Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
H Zhao, M Lu, A Yao†, Y Guo, Y Chen, L Zhang
CVPR 2017. arXiv preprint arXiv:1707.00383, 2017
Region proposal for image regions that include objects of interest using feature maps from multiple layers of a convolutional neural network model
A Yao, T Kong, Y Chen
US Patent App. 16/070,483, 2019
Programmable coarse grained and sparse matrix compute hardware with advanced scheduling
E Nurvitadhi, B Vembu, NCG Von Borries, R Barik, TH Lin, K Sinha, ...
US Patent 10,186,011, 2019
An incremental Bhattacharyya dissimilarity measure for particle filtering
A Yao†, G Wang, X Lin, X Chai
Pattern Recognition 43 (4), 1244-1256, 2010
Coupled multi-task fully convolutional networks using multi-scale contextual information and hierarchical hyper-features for semantic image segmentation
L Wang, A Yao, Y Chen
US Patent 10,929,977, 2021
A Closed-form Solution to Universal Style Transfer
M Lu, H Zhao, A Yao†, Y Chen, F Xu, L Zhang
ICCV 2019. arXiv preprint arXiv:1906.00668, 2019
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