| Incremental network quantization: Towards lossless cnns with low-precision weights A Zhou, A Yao, Y Guo, L Xu, Y Chen ICLR 2017, 2017 | 885 | 2017 |
| Dynamic network surgery for efficient dnns Y Guo, A Yao, Y Chen Advances In Neural Information Processing Systems, 1379-1387, 2016 | 844 | 2016 |
| 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 | 782 | 2016 |
| 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 | 544 | 2017 |
| 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 | 384 | 2017 |
| 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 | 142 | 2008 |
| 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 | 132 | 2019 |
| 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 | 128 | 2017 |
| Weakly supervised dense video captioning Z Shen, J Li, Z Su, M Li, Y Chen, YG Jiang, X Xue CVPR 2017, 2017 | 123 | 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 | 122 | 2016 |
| 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 | 109 | 2015 |
| Sparse dnns with improved adversarial robustness Y Guo, C Zhang, C Zhang, Y Chen Advances in neural information processing systems 31, 242-251, 2018 | 96 | 2018 |
| 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 | 87 | 2010 |
| 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 | 86 | 2016 |
| 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 | 84 | 2017 |
| 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 | 75 | 2018 |
| 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 | 62 | 2008 |
| Network Decoupling: From Regular to Depthwise Separable Convolutions J Guo, Y Li, W Lin, Y Chen, J Li BMVC 2018, 2018 | 58 | 2018 |
| 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 | 56 | 2018 |
| 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 | 54 | 2019 |
Anbang Yao (姚安邦)PE, Principal Research Scientist, Intel Labs ChinaVerified email at intel.com
