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Yurong Chen
Yurong Chen
Principal AI Scientist / Research Director, Intel Labs China
intel.com의 이메일 확인됨
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Incremental network quantization: Towards lossless cnns with low-precision weights
A Zhou, A Yao, Y Guo, L Xu, Y Chen
ICLR 2017, 2017
10172017
Dynamic network surgery for efficient dnns
Y Guo, A Yao, Y Chen
Advances In Neural Information Processing Systems, 1379-1387, 2016
9712016
Hypernet: Towards accurate region proposal generation and joint object detection
T Kong, A Yao, Y Chen, F Sun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
8492016
Dsod: Learning deeply supervised object detectors from scratch
Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue
Proceedings of the IEEE International Conference on Computer Vision, 1919-1927, 2017
6102017
RON: Reverse Connection with Objectness Prior Networks for Object Detection
T Kong, A Yao, F Sun, M Lu, H Liu, Y Chen
CVPR 2017, 2017
4152017
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
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1952019
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
1482016
SIFT implementation and optimization for multi-core systems
Q Zhang, Y Chen, Y Zhang, Y Xu
2008 IEEE International Symposium on Parallel and Distributed Processing, 1-8, 2008
1452008
Learning Supervised Scoring Ensemble for Emotion Recognition in the Wild
P Hu, D Cai, S Wang, A Yao, Y Chen
Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017
1442017
Sparse dnns with improved adversarial robustness
Y Guo, C Zhang, C Zhang, Y Chen
Advances in neural information processing systems 31, 242-251, 2018
1302018
Weakly supervised dense video captioning
Z Shen, J Li, Z Su, M Li, Y Chen, YG Jiang, X Xue
CVPR 2017, 2017
1262017
Capturing AU-aware facial features and their latent relations for emotion recognition in the wild
A Yao, J Shao, N Ma, Y Chen
17th ACM International Conference on Multimodal Interaction, ICMI 2015, 451-458, 2015
1142015
Network sketching: Exploiting binary structure in deep cnns
Y Guo, A Yao, H Zhao, Y Chen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1032017
HoloNet: towards robust emotion recognition in the wild
A Yao, D Cai, P Hu, S Wang, L Sha, Y Chen
Proceedings of the 18th ACM International Conference on Multimodal …, 2016
982016
Bundled depth-map merging for multi-view stereo
J Li, E Li, Y Chen, L Xu, Y Zhang
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
942010
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks
A Zhou, A Yao, K Wang, Y Chen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
842018
Network Decoupling: From Regular to Depthwise Separable Convolutions
J Guo, Y Li, W Lin, Y Chen, J Li
BMVC 2018, 2018
682018
Learning Visual Knowledge Memory Networks for Visual Question Answering
Z Su, C Zhu, Y Dong, D Cai, Y Chen, J Li
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
672018
Object detection from scratch with deep supervision
Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue
IEEE transactions on pattern analysis and machine intelligence 42 (2), 398-412, 2019
652019
Parallelization and characterization of SIFT on multi-core systems
H Feng, E Li, Y Chen, Y Zhang
2008 IEEE International Symposium on Workload Characterization, 14-23, 2008
622008
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