| Pointmamba: A simple state space model for point cloud analysis D Liang, X Zhou, X Wang, X Zhu, W Xu, Z Zou, X Ye, X Bai NeurIPS 2024, 2024 | 103 | 2024 |
| Fine-grained iterative attention network for temporal language localization in videos X Qu, P Tang, Z Zou, Y Cheng, J Dong, P Zhou, Z Xu ACM MM 2020, 4280-4288, 2020 | 99 | 2020 |
| Attend to count: Crowd counting with adaptive capacity multi-scale CNNs Z Zou, Y Cheng, X Qu, S Ji, X Guo, P Zhou Neurocomputing 367, 75-83, 2019 | 71 | 2019 |
| Adversarial category alignment network for cross-domain sentiment classification X Qu, Z Zou, Y Cheng, Y Yang, P Zhou NAACL 2019, 2496-2508, 2019 | 69 | 2019 |
| CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model D Liang, J Xie, Z Zou, X Ye, W Xu, X Bai CVPR 2023, 2023 | 62 | 2023 |
| The devil is in the task: Exploiting reciprocal appearance-localization features for monocular 3d object detection Z Zou, X Ye, L Du, X Cheng, X Tan, L Zhang, J Feng, X Xue, E Ding ICCV 2021, 2713-2722, 2021 | 57 | 2021 |
| DA-Net: Learning the fine-grained density distribution with deformation aggregation network Z Zou, X Su, X Qu, P Zhou IEEE Access 6, 60745-60756, 2018 | 56* | 2018 |
| Enhanced 3D convolutional networks for crowd counting Z Zou, H Shao, X Qu, W Wei, P Zhou BMVC 2019, 2019 | 48 | 2019 |
| SOOD: Towards Semi-Supervised Oriented Object Detection W Hua, D Liang, J Li, X Liu, Z Zou, X Ye, X Bai CVPR 2023, 2023 | 44 | 2023 |
| SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model D Zhang, D Liang, H Yang, Z Zou, X Ye, Z Liu, X Bai Science China Information Sciences, 2023 | 40 | 2023 |
| SGM3D: Stereo guided monocular 3D object detection Z Zhou, L Du, X Ye, Z Zou, X Tan, L Zhang, X Xue, J Feng IEEE Robotics and Automation Letters 7 (4), 10478-10485, 2022 | 36 | 2022 |
| Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network Z Zou, X Qu, P Zhou, S Xu, X Ye, W Wu, J Ye ACM MM 2021, 2021 | 35 | 2021 |
| Crowd counting via hierarchical scale recalibration network Z Zou, Y Liu, S Xu, W Wei, S Wen, P Zhou ECAI 2020, 2020 | 35 | 2020 |
| Revealing the reciprocal relations between self-supervised stereo and monocular depth estimation Z Chen, X Ye, W Yang, Z Xu, X Tan, Z Zou, E Ding, X Zhang, L Huang ICCV 2021, 15529-15538, 2021 | 32 | 2021 |
| DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning W Wu, Y Zhao, Y Xu, X Tan, D He, Z Zou, J Ye, Y Li, M Yao, Z Dong, Y Shi ACM MM 2021, 2021 | 31 | 2021 |
| A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection D Zhang, D Liang, Z Zou, J Li, X Ye, Z Liu, X Tan, X Bai ICCV 2023, 8373-8383, 2023 | 26 | 2023 |
| Attend to where and when: Cascaded attention network for facial expression recognition X Qu, Z Zou, X Su, P Zhou, W Wei, S Wen, D Wu IEEE Transactions on Emerging Topics in Computational Intelligence 6 (3 …, 2021 | 26 | 2021 |
| Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis X Zhou, D Liang, W Xu, X Zhu, Y Xu, Z Zou, X Bai CVPR 2024, 2024 | 18 | 2024 |
| Leaping from 2D detection to efficient 6DoF object pose estimation J Liu, Z Zou, X Ye, X Tan, E Ding, F Xu, X Yu ECCVw 2020, 707-714, 2020 | 16 | 2020 |
| Query-based Temporal Fusion with Explicit Motion for 3D Object Detection J Hou, Z Liu, D Liang, Z Zou, X Ye, X Bai NeurIPS 2023, 2023 | 15 | 2023 |
Ye XiaoqingBaidu Inc.Verified email at whu.edu.cn