| Empirical evaluation of rectified activations in convolutional network B Xu arXiv preprint arXiv:1505.00853, 2015 | 4405 | 2015 |
| Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems T Chen, M Li, Y Li, M Lin, N Wang, M Wang, T Xiao, B Xu, C Zhang, ... arXiv preprint arXiv:1512.01274, 2015 | 2942 | 2015 |
| Collaborative deep learning for recommender systems H Wang, N Wang, DY Yeung Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 2022 | 2015 |
| Adaptive batch normalization for practical domain adaptation Y Li, N Wang, J Shi, X Hou, J Liu Pattern Recognition 80, 109-117, 2018 | 1393* | 2018 |
| Learning a Deep Compact Image Representation for Visual Tracking N Wang, DY Yeung Advances in Neural Information Processing Systems (NIPS), 809-817, 2013 | 1335 | 2013 |
| Scale-aware trident networks for object detection Y Li, Y Chen, N Wang, Z Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1193 | 2019 |
| Demystifying neural style transfer Y Li, N Wang, J Liu, X Hou arXiv preprint arXiv:1701.01036, 2017 | 782 | 2017 |
| Unsupervised scale-consistent depth and ego-motion learning from monocular video J Bian, Z Li, N Wang, H Zhan, C Shen, MM Cheng, I Reid Advances in neural information processing systems 32, 2019 | 746 | 2019 |
| Data-driven sparse structure selection for deep neural networks Z Huang, N Wang Proceedings of the European conference on computer vision (ECCV), 304-320, 2018 | 737 | 2018 |
| Dynamic R-CNN: Towards high quality object detection via dynamic training H Zhang, H Chang, B Ma, N Wang, X Chen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 606 | 2020 |
| Like what you like: Knowledge distill via neuron selectivity transfer Z Huang, N Wang arXiv preprint arXiv:1707.01219, 2017 | 605 | 2017 |
| Understanding and diagnosing visual tracking systems N Wang, J Shi, DY Yeung, J Jia Proceedings of the IEEE international conference on computer vision, 3101-3109, 2015 | 463 | 2015 |
| Transferring rich feature hierarchies for robust visual tracking N Wang, S Li, A Gupta, DY Yeung arXiv preprint arXiv:1501.04587, 2015 | 410 | 2015 |
| Devnet: A deep event network for multimedia event detection and evidence recounting C Gan, N Wang, Y Yang, DY Yeung, AG Hauptmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 408 | 2015 |
| QueryDet: Cascaded sparse query for accelerating high-resolution small object detection C Yang, Z Huang, N Wang Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2022 | 383 | 2022 |
| Sequence level semantics aggregation for video object detection H Wu, Y Chen, N Wang, Z Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 300 | 2019 |
| Cross view fusion for 3d human pose estimation H Qiu, C Wang, J Wang, N Wang, W Zeng Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 292 | 2019 |
| Embracing single stride 3d object detector with sparse transformer L Fan, Z Pang, T Zhang, YX Wang, H Zhao, F Wang, N Wang, Z Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 277 | 2022 |
| Rangedet: In defense of range view for lidar-based 3d object detection L Fan, X Xiong, F Wang, N Wang, Z Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 277 | 2021 |
| Lidar r-cnn: An efficient and universal 3d object detector Z Li, F Wang, N Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 264 | 2021 |
Zhaoxiang ZhangInstitute of Automation, Chinese Academy of SciencesZweryfikowany adres z ieee.org
