| Fully convolutional one-stage 3D object detection on LiDAR range images Z Tian, X Chu, X Wang, X Wei, C Shen NeurIPS 2022, 2022 | 6865 | 2022 |
| YOLOv6: A single-stage object detection framework for industrial applications C Li, L Li, H Jiang, K Weng, Y Geng, L Li, Z Ke, Q Li, M Cheng, W Nie, Y Li, ... arXiv preprint arXiv:2209.02976, 2022 | 2595 | 2022 |
| Twins: Revisiting the design of spatial attention in vision transformers X Chu, Z Tian, Y Wang, B Zhang, H Ren, X Wei, H Xia, C Shen NeurIPS 2021, 2021 | 1207 | 2021 |
| Conditional Positional Encodings for Vision Transformers X Chu, Z Tian, B Zhang, X Wang, X Wei, H Xia, C Shen ICLR 2023, 2023 | 854* | 2023 |
| Fairnas: Rethinking evaluation fairness of weight sharing neural architecture search X Chu, B Zhang, R Xu Proceedings of the IEEE/CVF International Conference on computer vision …, 2021 | 415 | 2021 |
| Fair darts: Eliminating unfair advantages in differentiable architecture search X Chu, T Zhou, B Zhang, J Li European conference on computer vision, 465-480, 2020 | 369 | 2020 |
| Fast, accurate and lightweight super-resolution with neural architecture search X Chu, B Zhang, H Ma, R Xu, Q Li 2020 25th International conference on pattern recognition (ICPR), 59-64, 2021 | 322 | 2021 |
| Yolov6 v3. 0: A full-scale reloading C Li, L Li, Y Geng, H Jiang, M Cheng, B Zhang, Z Ke, X Xu, X Chu arXiv preprint arXiv:2301.05586, 2023 | 305 | 2023 |
| DARTS-: robustly stepping out of performance collapse without indicators X Chu, X Wang, B Zhang, S Lu, X Wei, J Yan ICLR 2021, 2020 | 200 | 2020 |
| Promptdet: Towards open-vocabulary detection using uncurated images C Feng, Y Zhong, Z Jie, X Chu, H Ren, X Wei, W Xie, L Ma European Conference on Computer Vision, 701-717, 2022 | 177* | 2022 |
| Multi-objective reinforced evolution in mobile neural architecture search X Chu, B Zhang, R Xu european conference on computer vision, 99-113, 2020 | 142 | 2020 |
| Segvit: Semantic segmentation with plain vision transformers B Zhang, Z Tian, Q Tang, X Chu, X Wei, C Shen, Y Liu NeurIPS 2022, 2022 | 133 | 2022 |
| Cctrans: Simplifying and improving crowd counting with transformer Y Tian, X Chu, H Wang arXiv preprint arXiv:2109.14483, 2021 | 112 | 2021 |
| MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices X Chu, L Qiao, X Lin, S Xu, Y Yang, Y Hu, F Wei, X Zhang, B Zhang, X Wei, ... arXiv preprint arXiv:2312.16886, 2023 | 100 | 2023 |
| Mobilevlm v2: Faster and stronger baseline for vision language model X Chu, L Qiao, X Zhang, S Xu, F Wei, Y Yang, X Sun, Y Hu, X Lin, ... arXiv preprint arXiv:2402.03766, 2024 | 89 | 2024 |
| Mobilevlm: A fast, reproducible and strong vision language assistant for mobile devices X Chu, L Qiao, X Lin, S Xu, Y Yang, Y Hu, F Wei, X Zhang, B Zhang, X Wei, ... arXiv preprint arXiv:2312.16886v1, 2023 | 79 | 2023 |
| Parameter sharing deep deterministic policy gradient for cooperative multi-agent reinforcement learning X Chu, H Ye arXiv preprint arXiv:1710.00336, 2017 | 79 | 2017 |
| Noisy differentiable architecture search X Chu, B Zhang BMVC 2021, 2020 | 66 | 2020 |
| STRETCH meat grinder with ICCOS X Yu, X Chu IEEE Transactions on Plasma Science 41 (5), 1346-1351, 2013 | 66 | 2013 |
| Moga: Searching beyond mobilenetv3 X Chu, B Zhang, R Xu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 62 | 2020 |
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