Xiaoshui Huang
Xiaoshui Huang
Shanghai AI Laboratory
Verified email at - Homepage
Cited by
Cited by
A comprehensive survey on point cloud registration
X Huang, G Mei, J Zhang, R Abbas
arXiv preprint arXiv:2103.02690, 2021
Attention-based transactional context embedding for next-item recommendation
S Wang, L Hu, L Cao, X Huang, D Lian, W Liu
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Feature-metric registration: A fast semi-supervised approach for robust point cloud registration without correspondences
X Huang, G Mei, J Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
A systematic approach for cross-source point cloud registration by preserving macro and micro structures
X Huang, J Zhang, L Fan, Q Wu, C Yuan
IEEE Transactions on Image Processing 26 (7), 3261-3276, 2017
Clip2point: Transfer clip to point cloud classification with image-depth pre-training
T Huang, B Dong, Y Yang, X Huang, RWH Lau, W Ouyang, W Zuo
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
A coarse-to-fine algorithm for matching and registration in 3D cross-source point clouds
X Huang, J Zhang, Q Wu, L Fan, C Yuan
IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2965 …, 2017
Lamm: Language-assisted multi-modal instruction-tuning dataset, framework, and benchmark
Z Yin, J Wang, J Cao, Z Shi, D Liu, M Li, X Huang, Z Wang, L Sheng, L Bai, ...
Advances in Neural Information Processing Systems 36, 2024
IMFNet: Interpretable multimodal fusion for point cloud registration
X Huang, W Qu, Y Zuo, Y Fang, X Zhao
IEEE Robotics and Automation Letters 7 (4), 12323-12330, 2022
Hierarchical attentive transaction embedding with intra-and inter-transaction dependencies for next-item recommendation
S Wang, L Cao, L Hu, S Berkovsky, X Huang, L Xiao, W Lu
IEEE Intelligent Systems 36 (4), 56-64, 2020
A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds
X Huang, J Zhang, Q Wu, L Fan, C Yuan
2016 International Conference on Digital Image Computing: Techniques and …, 2016
Unsupervised point cloud registration by learning unified gaussian mixture models
X Huang, S Li, Y Zuo, Y Fang, J Zhang, X Zhao
IEEE Robotics and Automation Letters 7 (3), 7028-7035, 2022
Fast registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement
X Huang, L Fan, Q Wu, J Zhang, C Yuan
2019 IEEE International Conference on Multimedia and Expo (ICME), 1552-1557, 2019
Frozen CLIP Model is An Efficient Point Cloud Backbone
X Huang, S Li, W Qu, T He, Y Zuo, W Ouyang
arXiv preprint arXiv:2212.04098, 2022
Unsupervised deep probabilistic approach for partial point cloud registration
G Mei, H Tang, X Huang, W Wang, J Liu, J Zhang, L Van Gool, Q Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
DeepMMSA: A novel multimodal deep learning method for non-small cell lung cancer survival analysis
Y Wu, J Ma, X Huang, SH Ling, SW Su
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021
Graph cuts stereo matching based on patch-match and ground control points constraint
X Huang, C Yuan, J Zhang
Advances in Multimedia Information Processing--PCM 2015: 16th Pacific-Rim …, 2015
Classification constrained discriminator for domain adaptive semantic segmentation
T Chen, J Zhang, GS Xie, Y Yao, X Huang, Z Tang
2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020
Cross-source point cloud registration: Challenges, progress and prospects
X Huang, G Mei, J Zhang
Neurocomputing, 126383, 2023
Robust real-world point cloud registration by inlier detection
X Huang, Y Wang, S Li, G Mei, Z Xu, Y Wang, J Zhang, M Bennamoun
Computer Vision and Image Understanding 224, 103556, 2022
MIG-net: Multi-scale network alternatively guided by intensity and gradient features for depth map super-resolution
Y Zuo, H Wang, Y Fang, X Huang, X Shang, Q Wu
IEEE Transactions on Multimedia 24, 3506-3519, 2021
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