| Filip: Fine-grained interactive language-image pre-training L Yao, R Huang, L Hou, G Lu, M Niu, H Xu, X Liang, Z Li, X Jiang, C Xu arXiv preprint arXiv:2111.07783, 2021 | 390 | 2021 |
| Voxel transformer for 3d object detection J Mao, Y Xue, M Niu, H Bai, J Feng, X Liang, H Xu, C Xu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 354 | 2021 |
| Detco: Unsupervised contrastive learning for object detection E Xie, J Ding, W Wang, X Zhan, H Xu, P Sun, Z Li, P Luo Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 323 | 2021 |
| Auto-fpn: Automatic network architecture adaptation for object detection beyond classification H Xu, L Yao, W Zhang, X Liang, Z Li Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 219 | 2019 |
| One million scenes for autonomous driving: Once dataset J Mao, M Niu, C Jiang, H Liang, J Chen, X Liang, Y Li, C Ye, W Zhang, ... arXiv preprint arXiv:2106.11037, 2021 | 195 | 2021 |
| Curvelane-nas: Unifying lane-sensitive architecture search and adaptive point blending H Xu, S Wang, X Cai, W Zhang, X Liang, Z Li Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 146 | 2020 |
| Pyramid r-cnn: Towards better performance and adaptability for 3d object detection J Mao, M Niu, H Bai, X Liang, H Xu, C Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 142 | 2021 |
| Classification and ranking of Fermi LAT gamma-ray sources from the 3FGL catalog using machine learning techniques PMS Parkinson, H Xu, PLH Yu, D Salvetti, M Marelli, AD Falcone The Astrophysical Journal 820 (1), 8, 2016 | 140 | 2016 |
| Spatial-aware graph relation network for large-scale object detection H Xu, C Jiang, X Liang, Z Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 133 | 2019 |
| Soft: Softmax-free transformer with linear complexity J Lu, J Yao, J Zhang, X Zhu, H Xu, W Gao, C Xu, T Xiang, L Zhang Advances in Neural Information Processing Systems 34, 21297-21309, 2021 | 116 | 2021 |
| Segmenting transparent object in the wild with transformer E Xie, W Wang, W Wang, P Sun, H Xu, D Liang, P Luo arXiv preprint arXiv:2101.08461, 2021 | 109 | 2021 |
| Bridging the gap between sample-based and one-shot neural architecture search with bonas H Shi, R Pi, H Xu, Z Li, JT Kwok, T Zhang NeurIPS, 2020 | 108 | 2020 |
| Zerogen: Efficient zero-shot learning via dataset generation J Ye, J Gao, Q Li, H Xu, J Feng, Z Wu, T Yu, L Kong arXiv preprint arXiv:2202.07922, 2022 | 98 | 2022 |
| Reasoning-rcnn: Unifying adaptive global reasoning into large-scale object detection H Xu, CH Jiang, X Liang, L Lin, Z Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 92 | 2019 |
| Hybrid knowledge routed modules for large-scale object detection C Jiang, H Xu, X Liang, L Lin NIPS, 2018 | 90 | 2018 |
| SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection L Yao, H Xu, W Zhang, X Liang, Z Li AAAI, 12661-12668, 2020 | 78 | 2020 |
| Detclip: Dictionary-enriched visual-concept paralleled pre-training for open-world detection L Yao, J Han, Y Wen, X Liang, D Xu, W Zhang, Z Li, C Xu, H Xu Advances in Neural Information Processing Systems 35, 9125-9138, 2022 | 74 | 2022 |
| C3-semiseg: Contrastive semi-supervised segmentation via cross-set learning and dynamic class-balancing Y Zhou, H Xu, W Zhang, B Gao, PA Heng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 72 | 2021 |
| Wukong: A 100 million large-scale chinese cross-modal pre-training benchmark J Gu, X Meng, G Lu, L Hou, N Minzhe, X Liang, L Yao, R Huang, W Zhang, ... Advances in Neural Information Processing Systems 35, 26418-26431, 2022 | 66 | 2022 |
| SP-NAS: Serial-to-parallel backbone search for object detection C Jiang, H Xu, W Zhang, X Liang, Z Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 64 | 2020 |
Zhenguo LiHuawei Noah's Ark LabVerified email at huawei.com
