Qianjiang Hu

14 papers A* 2B 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dynamic Point Cloud Denoising via Gradient Fields.
ACM Trans. Multim. Comput. Commun. Appl.
Qianjiang Hu, Wei Hu
2024 — conf
RangeLDM: Fast Realistic LiDAR Point Cloud Generation.
ECCV (44)
Qianjiang Hu, Zhimin Zhang, Wei Hu
2024 J jnl
RangeLDM: Fast Realistic LiDAR Point Cloud Generation.
CoRR
Qianjiang Hu, Zhimin Zhang, Wei Hu
2023 A* conf
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection.
CVPR
Qianjiang Hu, Daizong Liu, Wei Hu
2023 J jnl
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection.
CoRR
Qianjiang Hu, Daizong Liu, Wei Hu
2023 B conf
Robust Graph-Based Segmentation of Noisy Point Clouds.
ICIP
Pufan Li, Xiang Gao, Qianjiang Hu, Wei Hu
2022 J jnl
Dynamic Point Cloud Denoising via Gradient Fields.
CoRR
Qianjiang Hu, Wei Hu
2022 — conf
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks.
ECCV (3)
Qianjiang Hu, Daizong Liu, Wei Hu
2022 J jnl
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks.
CoRR
Qianjiang Hu, Daizong Liu, Wei Hu
2021 A* conf
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries.
CVPR
Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi
2021 J jnl
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance.
IEEE Trans. Image Process.
Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao
2020 J jnl
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning.
CoRR
Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao
2020 J jnl
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries.
CoRR
Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi
2019 J jnl
3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling.
CoRR
Qianjiang Hu, Zehua Wang, Wei Hu, Xiang Gao, Zongming Guo