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2020 – today
- 2024
[c5]Qianjiang Hu
, Zhimin Zhang, Wei Hu:
RangeLDM: Fast Realistic LiDAR Point Cloud Generation. ECCV (44) 2024: 115-135- [i7]Qianjiang Hu, Zhimin Zhang, Wei Hu:
RangeLDM: Fast Realistic LiDAR Point Cloud Generation. CoRR abs/2403.10094 (2024) - 2023
- [c4]Qianjiang Hu, Daizong Liu, Wei Hu:
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection. CVPR 2023: 17556-17566 - [c3]Pufan Li, Xiang Gao, Qianjiang Hu, Wei Hu:
Robust Graph-Based Segmentation of Noisy Point Clouds. ICIP 2023: 3090-3094 - [i6]Qianjiang Hu, Daizong Liu, Wei Hu:
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection. CoRR abs/2304.09446 (2023) - 2022
- [c2]Qianjiang Hu, Daizong Liu, Wei Hu:
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks. ECCV (3) 2022: 229-248 - [i5]Qianjiang Hu, Daizong Liu, Wei Hu:
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks. CoRR abs/2202.07261 (2022) - [i4]Qianjiang Hu, Wei Hu:
Dynamic Point Cloud Denoising via Gradient Fields. CoRR abs/2204.08755 (2022) - 2021
- [j1]Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao:
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance. IEEE Trans. Image Process. 30: 6168-6183 (2021) - [c1]Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi:
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries. CVPR 2021: 1074-1083 - 2020
- [i3]Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao:
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning. CoRR abs/2003.08355 (2020) - [i2]Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi:
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries. CoRR abs/2011.08435 (2020)
2010 – 2019
- 2019
- [i1]Qianjiang Hu, Zehua Wang, Wei Hu, Xiang Gao, Zongming Guo:
3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling. CoRR abs/1904.12284 (2019)
Coauthor Index
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