Yurong Chen
Yurong Chen
Research Director, Intel Labs China
Verified email at intel.com
Title
Cited by
Cited by
Year
Incremental network quantization: Towards lossless cnns with low-precision weights
A Zhou, A Yao, Y Guo, L Xu, Y Chen
arXiv preprint arXiv:1702.03044, 2017
6412017
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
6262016
Dynamic network surgery for efficient dnns
Y Guo, A Yao, Y Chen
Advances In Neural Information Processing Systems, 1379-1387, 2016
6102016
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
4232017
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
3062017
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
1422008
Weakly supervised dense video captioning
Z Shen, J Li, Z Su, M Li, Y Chen, YG Jiang, X Xue
CVPR 2017, 2017
982017
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
972015
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
852017
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
782010
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
662016
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
642016
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
632017
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
Sparse dnns with improved adversarial robustness
Y Guo, C Zhang, C Zhang, Y Chen
Advances in neural information processing systems 31, 242-251, 2018
592018
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
582018
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
472019
Thu and icrc at trecvid 2007
J Yuan, Z Guo, L Lv, W Wan, T Zhang, D Wang, X Liu, C Liu, S Zhu, ...
TREC Video Retrieval Evaluation Proceedings, 2007
442007
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
412018
Network Decoupling: From Regular to Depthwise Separable Convolutions
J Guo, Y Li, W Lin, Y Chen, J Li
BMVC 2018, 2018
402018
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