| ResNeSt: Split-Attention Networks H Zhang, C Wu, Z Zhang, Y Zhu, H Lin, Z Zhang, Y Sun, T He, J Mueller, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 1931 | 2022 |
| Bag of tricks for image classification with convolutional neural networks T He, Z Zhang, H Zhang, Z Zhang, J Xie, M Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1817 | 2019 |
| Context encoding for semantic segmentation H Zhang, K Dana, J Shi, Z Zhang, X Wang, A Tyagi, A Agrawal Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 1584 | 2018 |
| AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data N Erickson, J Mueller, A Shirkov, H Zhang, P Larroy, M Li, A Smola arXiv preprint arXiv:2003.06505, 2020 | 715 | 2020 |
| Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP F Liang, B Wu, X Dai, K Li, Y Zhao, H Zhang, P Zhang, P Vajda, ... | 349 | 2023 |
| Multi-style generative network for real-time transfer H Zhang, K Dana Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 333 | 2018 |
| Co-Occurrent Features in Semantic Segmentation H Zhang, H Zhang, C Wang, J Xie The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 321 | 2019 |
| Deep ten: Texture encoding network H Zhang, J Xue, K Dana Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 299 | 2017 |
| Bag of freebies for training object detection neural networks Z Zhang, T He, H Zhang, Z Zhang, J Xie, M Li arXiv preprint arXiv:1902.04103, 2019 | 228 | 2019 |
| Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ... Journal of Machine Learning Research 21 (23), 1-7, 2020 | 225 | 2020 |
| Deep Texture Manifold for Ground Terrain Recognition J Xue, H Zhang, K Dana The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 151 | 2018 |
| Differential Angular Imaging for Material Recognition J Xue, H Zhang, K Dana, K Nishino The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 107 | 2017 |
| Transfer learning in computer vision tasks: Remember where you come from X Li, Y Grandvalet, F Davoine, J Cheng, Y Cui, H Zhang, S Belongie, ... Image and Vision Computing 93, 103853, 2020 | 101 | 2020 |
| Improving Semantic Segmentation via Efficient Self-Training Y Zhu, Z Zhang, C Wu, Z Zhang, T He, H Zhang, R Manmatha, M Li, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 68* | 2021 |
| Reflectance Hashing for Material Recognition H Zhang, K Dana, K Nishino The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3071 …, 2015 | 62 | 2015 |
| Improving semantic segmentation via self-training Y Zhu, Z Zhang, C Wu, Z Zhang, T He, H Zhang, R Manmatha, M Li, ... arXiv preprint arXiv:2004.14960, 2020 | 60 | 2020 |
| Friction from reflectance: Deep reflectance codes for predicting physical surface properties from one-shot in-field reflectance H Zhang, K Dana, K Nishino European Conference on Computer Vision (ECCV), 808--824, 2016 | 30 | 2016 |
| FBNetV5: Neural Architecture Search for Multiple Tasks in One Run B Wu, C Li, H Zhang, X Dai, P Zhang, M Yu, J Wang, Y Lin, P Vajda | 29 | 2021 |
| Differential Viewpoints for Ground Terrain Material Recognition J Xue, H Zhang, K Nishino, KJ Dana IEEE transactions on pattern analysis and machine intelligence, 2020 | 28 | 2020 |
| Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources H Lin, H Zhang, Y Ma, T He, Z Zhang, S Zha, M Li arXiv preprint arXiv:1904.12043, 2019 | 21 | 2019 |
Zhongyue (Jerry) ZhangMachine Learning EngineerVerified email at snap.com
