| Discrimination-aware channel pruning for deep neural networks Z Zhuang*, M Tan*, B Zhuang*, J Liu*, Y Guo, Q Wu, J Huang, J Zhu Advances in Neural Information Processing Systems, 875-886, 2018 | 273 | 2018 |
| Visual tracking via discriminative sparse similarity map B Zhuang, H Lu, Z Xiao, D Wang IEEE Transactions on Image Processing 23 (4), 1872-1881, 2014 | 167 | 2014 |
| Towards Effective Low-bitwidth Convolutional Neural Networks B Zhuang, C Shen, M Tan, L Liu, I Reid The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 …, 2018 | 123 | 2018 |
| Towards Context-aware Interaction Recognition for Visual Relationship Detection B Zhuang, L Liu, C Shen, I Reid Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017, 2017 | 113 | 2017 |
| Fast Training of Triplet-based Deep Binary Embedding Networks B Zhuang, G Lin, C Shen, I Reid The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 …, 2016 | 109 | 2016 |
| TasselNet: counting maize tassels in the wild via local counts regression network H Lu, Z Cao, Y Xiao, B Zhuang, C Shen Plant methods 13 (1), 1-17, 2017 | 95 | 2017 |
| Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation B Zhuang, C Shen, M Tan, L Liu, I Reid The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, 2019 | 88* | 2019 |
| Attend in groups: a weakly-supervised deep learning framework for learning from web data B Zhuang, L Liu, Y Li, C Shen, I Reid The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 60 | 2017 |
| Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries B Zhuang, Q Wu, C Shen, I Reid, A van den Hengel The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 2018 | 48 | 2018 |
| Hcvrd: a benchmark for large-scale human-centered visual relationship detection B Zhuang, Q Wu, C Shen, I Reid, A Hengel Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 33* | 2018 |
| Sequential Person Recognition in Photo Albums with a Recurrent Network Y Li, G Lin, B Zhuang, L Liu, C Shen, A Hengel The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2016 | 26 | 2016 |
| Visual tracking via shallow and deep collaborative model B Zhuang, L Wang, H Lu Neurocomputing 218, 61-71, 2016 | 17 | 2016 |
| Training Quantized Neural Networks With a Full-Precision Auxiliary Module B Zhuang, L Liu, M Tan, C Shen, I Reid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 13* | 2020 |
| RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs C Liu, W Ding, X Xia, Y Hu, B Zhang, J Liu, B Zhuang, G Guo IJCAI, 2019 | 11 | 2019 |
| Effective training of convolutional neural networks with low-bitwidth weights and activations B Zhuang, J Liu, M Tan, L Liu, I Reid, C Shen arXiv preprint arXiv:1908.04680, 2019 | 11 | 2019 |
| Generative Low-bitwidth Data Free Quantization S Xu*, H Li*, B Zhuang*, J Liu, J Cao, C Liang, M Tan European Conference on Computer Vision (ECCV), 2020, 2020 | 9 | 2020 |
| Scalable visual transformers with hierarchical pooling Z Pan, B Zhuang, J Liu, H He, J Cai arXiv preprint arXiv:2103.10619, 2021 | 6 | 2021 |
| Automatic pruning for quantized neural networks L Guerra, B Zhuang, I Reid, T Drummond arXiv preprint arXiv:2002.00523, 2020 | 5 | 2020 |
| Structured binary neural networks for image recognition B Zhuang, C Shen, M Tan, P Chen, L Liu, I Reid arXiv preprint arXiv:1909.09934, 2019 | 5 | 2019 |
| Discrimination-aware network pruning for deep model compression J Liu, B Zhuang, Z Zhuang, Y Guo, J Huang, J Zhu, M Tan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 4 | 2021 |
Chunhua ShenSchool of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
