Picture for Ziwei Wang

Ziwei Wang

DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection

May 05, 2023
Xiuwei Xu, Zhihao Sun, Ziwei Wang, Hongmin Liu, Jie Zhou, Jiwen Lu

Figure 1 for DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection

Figure 2 for DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection

Figure 3 for DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection

Figure 4 for DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection

* Code is available at: https://github.com/xuxw98/DSPDet3D

Access Paper or Ask Questions

Learning Accurate Performance Predictors for Ultrafast Automated Model Compression

Apr 13, 2023
Ziwei Wang, Jiwen Lu, Han Xiao, Shengyu Liu, Jie Zhou

* Accepted to IJCV

Access Paper or Ask Questions

Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis

Mar 27, 2023
Xiuwei Xu, Ziwei Wang, Jie Zhou, Jiwen Lu

Figure 1 for Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis

Figure 2 for Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis

Figure 3 for Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis

Figure 4 for Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis

* Accepted to CVPR2023

Access Paper or Ask Questions

Category-level Shape Estimation for Densely Cluttered Objects

Feb 23, 2023
Zhenyu Wu, Ziwei Wang, Jiwen Lu, Haibin Yan

Figure 1 for Category-level Shape Estimation for Densely Cluttered Objects

Figure 2 for Category-level Shape Estimation for Densely Cluttered Objects

Figure 3 for Category-level Shape Estimation for Densely Cluttered Objects

Figure 4 for Category-level Shape Estimation for Densely Cluttered Objects

* 7 pages, 7 figures, ICRA 2023

Access Paper or Ask Questions

Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder

Nov 20, 2022
Takuya Kurihana, James Franke, Ian Foster, Ziwei Wang, Elisabeth Moyer

Figure 1 for Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder

Figure 2 for Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder

Figure 3 for Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder

* 5 pages, 3 figures, the 36th conference on Neural Information Processing Systems (NeurIPS) Machine Learning and the Physical Sciences workshop

Access Paper or Ask Questions

Planning Irregular Object Packing via Hierarchical Reinforcement Learning

Nov 17, 2022
Sichao Huang, Ziwei Wang, Jie Zhou, Jiwen Lu

Figure 1 for Planning Irregular Object Packing via Hierarchical Reinforcement Learning

Figure 2 for Planning Irregular Object Packing via Hierarchical Reinforcement Learning

Figure 3 for Planning Irregular Object Packing via Hierarchical Reinforcement Learning

Figure 4 for Planning Irregular Object Packing via Hierarchical Reinforcement Learning

* This work is accepted by IEEE RAL. 8 pages, 6 figures

Access Paper or Ask Questions

InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee

Aug 15, 2022
Yaxian Li, Bingqing Zhang, Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ziwei Wang, Jirong Wen

Figure 1 for InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee

Figure 2 for InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee

Figure 3 for InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee

Figure 4 for InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee

* 12 pages, 10 figures and the ICANN 2022 accpeted paper

Access Paper or Ask Questions

Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value

Aug 09, 2022
Quan Zheng, Ziwei Wang, Jie Zhou, Jiwen Lu

Figure 1 for Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value

Figure 2 for Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value

Figure 3 for Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value

Figure 4 for Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value

* Accepted by ECCV 2022

Access Paper or Ask Questions