| Cms-rcnn: contextual multi-scale region-based cnn for unconstrained face detection C Zhu, Y Zheng, K Luu, M Savvides Deep learning for biometrics, 57-79, 2017 | 310 | 2017 |
| Ring loss: Convex feature normalization for face recognition Y Zheng, DK Pal, M Savvides Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 248 | 2018 |
| Multiple scale faster-rcnn approach to driver's cell-phone usage and hands on steering wheel detection T Hoang Ngan Le, Y Zheng, C Zhu, K Luu, M Savvides Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 215 | 2016 |
| Methods and software for detecting objects in images using a multiscale fast region-based convolutional neural network M Savvides, K Luu, Y Zheng, C Zhu US Patent 10,354,362, 2019 | 60 | 2019 |
| Robust hand detection in vehicles THN Le, C Zhu, Y Zheng, K Luu, M Savvides 2016 23rd International Conference on Pattern Recognition (ICPR), 573-578, 2016 | 48 | 2016 |
| Towards a deep learning framework for unconstrained face detection Y Zheng, C Zhu, K Luu, C Bhagavatula, THN Le, M Savvides 2016 IEEE 8th International Conference on Biometrics Theory, Applications …, 2016 | 36 | 2016 |
| Complementary interactions between command-like interneurons that function to activate and specify motor programs JS Wu, N Wang, MJ Siniscalchi, MH Perkins, YT Zheng, W Yu, S Chen, ... Journal of Neuroscience 34 (19), 6510-6521, 2014 | 29 | 2014 |
| CDTD: A large-scale cross-domain benchmark for instance-level image-to-image translation and domain adaptive object detection Z Shen, M Huang, J Shi, Z Liu, H Maheshwari, Y Zheng, X Xue, ... International Journal of Computer Vision 129, 761-780, 2021 | 23 | 2021 |
| DeepSafeDrive: A grammar-aware driver parsing approach to Driver Behavioral Situational Awareness (DB-SAW) THN Le, CC Zhu, Y Zheng, K Luu, M Savvides Pattern Recognition 66, 229-238, 2017 | 23 | 2017 |
| Weakly supervised facial analysis with dense hyper-column features C Zhu, Y Zheng, K Luu, T Hoang Ngan Le, C Bhagavatula, M Savvides Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 18 | 2016 |
| Powering finetuning in few-shot learning: Domain-agnostic bias reduction with selected sampling R Tao, H Zhang, Y Zheng, M Savvides Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8467-8475, 2022 | 15 | 2022 |
| Unsupervised disentanglement of linear-encoded facial semantics Y Zheng, YK Huang, R Tao, Z Shen, M Savvides Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 13 | 2021 |
| Correlation between electric potential and peristaltic behavior in Physarum polycephalum Y Zheng, R Jia, Y Qian, Y Ye, C Liu BioSystems 132, 13-19, 2015 | 10 | 2015 |
| Deep learning for biometrics C Zhu, Y Zheng, K Luu, M Savvides Cham: Springer, 57-79, 2017 | 8 | 2017 |
| Adversarial-based knowledge distillation for multi-model ensemble and noisy data refinement Z Shen, Z He, W Cui, J Yu, Y Zheng, C Zhu, M Savvides arXiv preprint arXiv:1908.08520, 2019 | 7 | 2019 |
| CMS-RCNN: Contextual multi-scale region-based CNN for unconstrained face detection. arXiv 2016 C Zhu, Y Zheng, K Luu, M Savvides arXiv preprint arXiv:1606.05413, 0 | 7 | |
| Enhancing interior and exterior deep facial features for face detection in the wild C Zhu, Y Zheng, K Luu, M Savvides 2018 13th IEEE international conference on automatic face & gesture …, 2018 | 6 | 2018 |
| A Single Central Pattern Generator for the Control of a Locomotor Rolling Wave in Mollusc Aplysia HY Wang, K Yu, Z Yang, G Zhang, SQ Guo, T Wang, DD Liu, RN Jia, ... Research 6, 0060, 2023 | 5 | 2023 |
| Is pose really solved? a frontalization study on off-angle face matching D Pal, C Bhagavatula, Y Zheng, R Tao, M Savvides 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2058-2067, 2019 | 5 | 2019 |
| Powering finetuning in few-shot learning: Domain-agnostic feature adaptation with rectified class prototypes R Tao, H Zhang, Y Zheng, M Savvides ar Xiv preprint, 2022 | 3 | 2022 |
Chenchen ZhuResearch Scientist, Meta AI在 meta.com 的电子邮件经过验证
