Qianliang Wu

According to our database, Qianliang Wu authored at least 21 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Leaning geometrical diffusion network via power spherical distribution for point clouds generation.

Jian Bi, Qianliang Wu, Jianjun Qian, Lei Luo, Jian Yang

Pattern Recognit., 2026

Structure-aware spherical density steered cross-domain learning for effective point cloud understanding.

Jian Bi, Qianliang Wu, Jianjun Qian, Lei Luo, Jian Yang

Pattern Recognit., 2026

Shaping Without Tearing: Controllable Diffeomorphic Deformations for Topology-Preserving 3D Point Cloud Augmentation.

Jian Bi, Qianliang Wu, Jianjun Qian, Lei Luo, Jian Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Efficient Minimal Solvers for Relative Pose Estimation With Known Rotation Angle.

Qianliang Wu, Yaqing Ding, Jin Xie, Jian Yang

IEEE Robotics Autom. Lett., August, 2025

Diff-Reg v2: Diffusion-Based Matching Matrix Estimation for Image Matching and 3D Registration.

Qianliang Wu, Haobo Jiang, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang

CoRR, March, 2025

DCNOT: Diffusion-Cascaded Neural Optimal Transport for Scalable Multi-Domain Image-to-Image Translation.

Yingzhen Zhang, Jimin Dai, Qianliang Wu, Jian Yang, Lei Luo

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation.

Jian Bi, Qianliang Wu, Xiang Li, Shuo Chen, Jianjun Qian, Lei Luo, Jian Yang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Three-view Focal Length Recovery From Homographies.

Yaqing Ding, Viktor Kocur, Zuzana Berger Haladová, Qianliang Wu, Shen Cai, Jian Yang, Zuzana Kukelova

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis.

Jian Bi, Qianliang Wu, Jianjun Qian, Lei Luo, Jian Yang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Diff-Reg v1: Diffusion Matching Model for Registration Problem.

Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang

CoRR, 2024

Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration.

Qianliang Wu, Haobo Jiang, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang

CoRR, 2024

SGNet: Salient Geometric Network for Point Cloud Registration.

Qianliang Wu, Yaqing Ding, Lei Luo, Haobo Jiang, Shuo Gu, Chuanwei Zhou, Jin Xie, Jian Yang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem.

Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

Fundamental Matrix Estimation Using Relative Depths.

Yaqing Ding, Václav Vávra, Snehal Bhayani, Qianliang Wu, Jian Yang, Zuzana Kukelova

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

SGFeat: Salient Geometric Feature for Point Cloud Registration.

Qianliang Wu, Yaqing Ding, Lei Luo, Chuanwei Zhou, Jin Xie, Jian Yang

CoRR, 2023

Large-scale Point Cloud Registration Based on Graph Matching Optimization.

Qianliang Wu, Yaqi Shen, Guofeng Mei, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang

CoRR, 2023

Graph Matching Optimization Network for Point Cloud Registration.

Qianliang Wu, Yaqi Shen, Haobo Jiang, Guofeng Mei, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang

IROS, 2023

2022

RecNet: A Resource-Constraint Aware Neural Network for Used Car Recommendation.

Haihua Shi, Jianjun Qian, Nengjun Zhu, Tong Zhang, Zhen Cui, Qianliang Wu, Shanshan Feng

Int. J. Comput. Intell. Syst., 2022

Globally Optimal Relative Pose Estimation for Multi-Camera Systems with Known Gravity Direction.

Qianliang Wu, Yaqing Ding, Xinlei Qi, Jin Xie, Jian Yang

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2020

Interest-Behaviour Multiplicative Network for Resource-limited Recommendation.

Qianliang Wu, Tong Zhang, Zhen Cui, Jian Yang

CoRR, 2020

2014

Visual Exploration of Sparse Traffic Trajectory Data.

Zuchao Wang, Tangzhi Ye, Min Lu, Xiaoru Yuan, Huamin Qu, Jacky Yuan, Qianliang Wu

IEEE Trans. Vis. Comput. Graph., 2014