Követés
Xinzhu Ma
Xinzhu Ma
E-mail megerősítve itt: cuhk.edu.hk
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
3792019
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
2532021
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
2422021
Rethinking Pseudo-LiDAR Representation
X Ma, S Liu, Z Xia, H Zhang, X Zeng, W Ouyang
European Conference on Computer Vision (ECCV), 2020
2272020
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
1742018
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
1112022
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), 2023
1072023
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), 2023
52*2023
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
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
342021
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
322022
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
L Chen, Y Meng, C Tang, X Ma, J Jiang, X Wang, Z Wang, W Zhu
arXiv preprint arXiv:2406.17343, 2024
132024
ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
M Li, Y Tan, X Ma, B Zhong, H Yu, Z Zhou, W Ouyang, B Zhou, L Hong, ...
Advances in Neural Information Processing Systems (NeurIPS), 2024
9*2024
BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
Y Ren, Z Chen, L Qiao, H Jing, Y Cai, S Xu, P Ye, X Ma, S Sun, H Yan, ...
Advances in Neural Information Processing Systems (NeurIPS), 2024
82024
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
72024
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 1, 2023
72023
Push-and-Pull: A General Training Framework with Differential Augmentor for Domain Generalized Point Cloud Classification
J Xu, X Ma, L Zhang, B Zhang, T Chen
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2024
52024
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
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024
52024
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
42022
Evaluating the generalization ability of quantized llms: Benchmark, analysis, and toolbox
Y Liu, Y Meng, F Wu, S Peng, H Yao, C Guan, C Tang, X Ma, Z Wang, ...
arXiv preprint arXiv:2406.12928, 2024
32024
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