Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds

1 code implementation • 27 Mar 2024 • Zhimin Yuan, Wankang Zeng, Yanfei Su, Weiquan Liu, Ming Cheng, Yulan Guo, Cheng Wang

3D synthetic-to-real unsupervised domain adaptive segmentation is crucial to annotating new domains.

E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning

1 code implementation • NeurIPS 2023 • Xiuhong Lin, Changjie Qiu, Zhipeng Cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang

While registration of 2D RGB images to 3D point clouds is a long-standing problem in computer vision, no prior work studies 2D-3D registration for event cameras.

Image Reconstruction Object Recognition +2

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization

1 code implementation • NeurIPS 2023 • Siqi Shen, Chennan Ma, Chao Li, Weiquan Liu, Yongquan Fu, Songzhu Mei, Xinwang Liu, Cheng Wang

Multi-agent systems are characterized by environmental uncertainty, varying policies of agents, and partial observability, which result in significant risks.

Multi-agent Reinforcement Learning reinforcement-learning

DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames

no code implementations • 9 Apr 2023 • Changjie Qiu, Zhiyong Wang, Xiuhong Lin, Yu Zang, Cheng Wang, Weiquan Liu

Second, we propose an modeling evaluation method based on HPMB for object-level modeling to overcome this limitation.

Point Cloud Registration Simultaneous Localization and Mapping

Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput Microscopic Images

1 code implementation • 13 Mar 2023 • Xuesheng Bian, Cheng Wang, Shuting Chen, Weiquan Liu, Sen Xu, Jinxin Zhu, Rugang Wang, Zexin Chen, Min Huang, Gang Li

Performing ATP bioluminescence causes cell lysis of organoids, so it is impossible to observe organoids' long-term viability changes after medication continually.

Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network

no code implementations • 12 Mar 2023 • Weiquan Liu, Minghao Liu, Shijun Zheng, Cheng Wang

It delivers the class Relevance to the activated neurons in the intermediate layers in a back-propagation manner, and associates the activation of neurons with the input points to visualize the hidden semantics of each layer.

3D Point Cloud Classification Adversarial Attack +2

Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality

no code implementations • 12 Mar 2023 • Weiquan Liu, Shijun Zheng, Cheng Wang

Adversarial examples are beneficial to improve the robustness of the 3D neural network model and enhance the stability of the AR system.

Adversarial Attack

DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds

1 code implementation • 1 Jun 2021 • Yanfei Su, Weiquan Liu, Zhimin Yuan, Ming Cheng, Zhihong Zhang, Xuelun Shen, Cheng Wang

As there is a lack of 3D point clouds datasets related to the fine-grained building facade, we construct the first large-scale building facade point clouds benchmark dataset for semantic segmentation.

3D Semantic Segmentation Point Cloud Segmentation +1