关注
Xinzhu Ma
Xinzhu Ma
在 cuhk.edu.hk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving
X Ma, Z Wang, H Li, P Zhang, W Ouyang, X Fan
International Conference on Computer Vision (ICCV), 2019
3372019
Delving into Localization Errors for Monocular 3D Object Detection
X Ma, Y Zhang, D Xu, D Zhou, S Yi, H Li, W Ouyang
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
2042021
Geometry Uncertainty Projection Network for Monocular 3D Object Detection
Y Lu, X Ma, L Yang, T Zhang, Y Liu, Q Chu, J Yan, W Ouyang
International Conference on Computer Vision (ICCV), 2021
1922021
Rethinking Pseudo-LiDAR Representation
X Ma, S Liu, Z Xia, H Zhang, X Zeng, W Ouyang
European Conference on Computer Vision (ECCV), 2020
1892020
User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks
Y Ci, X Ma, Z Wang, H Li, Z Luo
ACM International Conference on Multimedia (ACM MM), 1536-1544, 2018
1542018
MonoDistill: Learning Spatial Features for Monocular 3D Object Detection
Z Chong, X Ma, H Zhang, Y Yue, H Li, Z Wang, W Ouyang
International Conference on Learning Representations (ICLR), 2022
852022
3D Object Detection from Images for Autonomous Driving: A Survey
X Ma, W Ouyang, A Simonelli, E Ricci
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022
542022
An Efficient Protocol with Bidirectional Verification for Storage Security in Cloud Computing
B Feng, X Ma, C Guo, H Shi, Z Fu, T Qiu
IEEE Access 4, 7899-7911, 2016
412016
Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
D Zong, Z Qiu, X Ma, K Yang, C Liu, J Hou, S Yi, W Ouyang
International Conference on Learning Representations (ICLR), 2022
36*2022
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection
Y Zhang, X Ma, S Yi, J Hou, Z Wang, W Ouyang, D Xu
arXiv preprint arXiv:2107.13931, 2021
312021
Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting
W Lin, K Yang, X Ma, J Gao, L Liu, S Liu, J Hou, S Yi, AB Chan
British Machine Vision Conference (BMVC), 2022
172022
Rethinking the BERT-like Pretraining for DNA Sequences
C Liang, W Bai, L Qiao, Y Ren, J Sun, P Ye, H Yan, X Ma, W Zuo, ...
arXiv preprint arXiv:2310.07644, 2023
52023
Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
C Tang, Y Meng, J Jiang, S Xie, R Lu, X Ma, Z Wang, W Zhu
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
32024
Gupnet++: geometry uncertainty propagation network for monocular 3D object detection
Y Lu, X Ma, L Yang, T Zhang, Y Liu, Q Chu, T He, Y Li, W Ouyang
arXiv preprint arXiv:2310.15624, 2023
32023
Learning to Segment Unseen Category Objects using Gradient Gaussian Attention
P Zhang, Z Wang, X Ma, H Li, J Li
International Conference on Multimedia and Expo (ICME), 1636-1641, 2019
32019
Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection
X Ma, Y Wang, Y Zhang, Z Xia, Y Meng, Z Wang, H Li, W Ouyang
International Conference on Computer Vision (ICCV), 6425-6435, 2023
22023
An Empirical Study of Pseudo-labeling for Image-based 3D Object Detection
X Ma, Y Meng, Y Zhang, L Bai, J Hou, S Yi, W Ouyang
arXiv preprint arXiv:2208.07137, 2022
22022
TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models
H Sun, C Tang, Z Wang, Y Meng, X Ma, W Zhu
arXiv preprint arXiv:2404.09532, 2024
12024
Self-Adaption Multi-classifier Fusion Networks for Image Recognition
Z Guo, X Ma, H Li, Z Wang, P Zhang
International Conference on Multimedia and Expo (ICME), 399-405, 2019
12019
Disparity-Based Robust Unstructured Terrain Segmentation
P Zhang, X Ma, Z Wang, H Li, Z Luo
Pattern Recognition and Computer Vision (PRCV), 421-431, 2018
12018
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