Wenshan Wang

According to our database, Wenshan Wang authored at least 59 papers between 2010 and 2024.

Collaborative distances:

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

2024

PVA-GCN: point-voxel absorbing graph convolutional network for 3D human pose estimation from monocular video.

Minghao Liu, Wenshan Wang, Wei Zhao

Signal Image Video Process., June, 2024

Variable selection for misclassified current status data under the proportional hazards model.

Wenshan Wang, Lijun Fang, Shuwei Li, Jianguo Sun

Commun. Stat. Simul. Comput., March, 2024

Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping.

Shubhra Aich, Wenshan Wang, Parv Maheshwari, Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Jason M. Gregory, John G. Rogers III, Sebastian A. Scherer

CoRR, 2024

TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks.

Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian A. Scherer

CoRR, 2024

2023

Adversarial Defense Method Based on Latent Representation Guidance for Remote Sensing Image Scene Classification.

Qingan Da, Guoyin Zhang, Wenshan Wang, Yingnan Zhao, Dan Lu, Sizhao Li, Dapeng Lang

Entropy, September, 2023

Regression Analysis of Misclassified Current Status Data with Informative Observation Times.

Wenshan Wang, Da Xu, Shishun Zhao, Jianguo Sun

J. Syst. Sci. Complex., June, 2023

Customer Volume Prediction Using Fusion of Shared-private Dynamic Weighting over Multiple Modalities.

Wenshan Wang, Su Yang, Weishan Zhang

ACM Trans. Intell. Syst. Technol., 2023

Gradient-free adversarial attack algorithm based on differential evolution.

Qingan Da, Guoyin Zhang, Sizhao Li, Zechao Liu, Wenshan Wang

Int. J. Bio Inspired Comput., 2023

PIAug - Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation.

Parv Maheshwari, Wenshan Wang, Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, John G. Rogers III, Jason M. Gregory, Sebastian A. Scherer

CoRR, 2023

SubT-MRS: A Subterranean, Multi-Robot, Multi-Spectral and Multi-Degraded Dataset for Robust SLAM.

Shibo Zhao, Damanpreet Singh, Haoxiang Sun, Rushan Jiang, Yuanjun Gao, Tianhao Wu, Jay Karhade, Chuck Whittaker, Ian Higgins, Jiahe Xu, Yuheng Qiu, Sourojit Saha, Chen Wang, Wenshan Wang, Sebastian A. Scherer

CoRR, 2023

Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation.

Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments.

Shihao Shen, Yilin Cai, Wenshan Wang, Sebastian A. Scherer

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability.

Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix A. Sanchez, John G. Rogers, Sebastian A. Scherer

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

PyPose: A Library for Robot Learning with Physics-based Optimization.

Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady G. Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Kun Cao, Yi Du, Han Wang, Huai Yu, Shanzhao Wang, Siyu Chen, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Lihua Xie, Luca Carlone, Marco Hutter, Sebastian A. Scherer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised Online Learning for Robotic Interestingness With Visual Memory.

Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian A. Scherer

IEEE Trans. Robotics, 2022

Adversarial transformation network with adaptive perturbations for generating adversarial examples.

Guoyin Zhang, Qingan Da, Sizhao Li, Jianguo Sun, Wenshan Wang, Qing Hu, Jiashuai Lu

Int. J. Bio Inspired Comput., 2022

PyPose: A Library for Robot Learning with Physics-based Optimization.

Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady G. Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Han Wang, Huai Yu, Shanzhao Wang, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Luca Carlone, Marco Hutter, Sebastian A. Scherer

CoRR, 2022

MF-GAN: Multi-conditional Fusion Generative Adversarial Network for Text-to-Image Synthesis.

Yuyan Yang, Xin Ni, Yanbin Hao, Chenyu Liu, Wenshan Wang, Yifeng Liu, Haiyong Xie

Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems.

Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models.

Samuel Triest, Matthew Sivaprakasam, Sean J. Wang, Wenshan Wang, Aaron M. Johnson, Sebastian A. Scherer

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

AirDOS: Dynamic SLAM benefits from Articulated Objects.

Yuheng Qiu, Chen Wang, Wenshan Wang, Mina Henein, Sebastian A. Scherer

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

2021

VDB-EDT: An Efficient Euclidean Distance Transform Algorithm Based on VDB Data Structure.

Delong Zhu, Chaoqun Wang, Wenshan Wang, Rohit Garg, Sebastian A. Scherer, Max Q.-H. Meng

CoRR, 2021

Risk Prediction on Traffic Accidents using a Compact Neural Model for Multimodal Information Fusion over Urban Big Data.

Wenshan Wang, Su Yang, Weishan Zhang

CoRR, 2021

Identification Method of Coal and Coal Gangue Based on Dielectric Characteristics.

Yongcun Guo, Xinquan Wang, Shuang Wang, Kun Hu, Wenshan Wang

IEEE Access, 2021

ORStereo: Occlusion-Aware Recurrent Stereo Matching for 4K-Resolution Images.

Yaoyu Hu, Wenshan Wang, Huai Yu, Weikun Zhen, Sebastian A. Scherer

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Improving Off-road Planning Techniques with Learned Costs from Physical Interactions.

Matthew Sivaprakasam, Samuel Triest, Wenshan Wang, Peng Yin, Sebastian A. Scherer

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Architecture Design of High Safety Helicopter Flight Control System with Direct Control Mode.

Liqiang Teng, Wenshan Wang, Yining Liu

Proceedings of the 4th International Conference on Complex Systems Design & Management Asia, 2021

Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning.

Sean J. Wang, Samuel Triest, Wenshan Wang, Sebastian A. Scherer, Aaron M. Johnson

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

A data authentication scheme for UAV ad hoc network communication.

Jianguo Sun, Wenshan Wang, Liang Kou, Yun Lin, Liguo Zhang, Qingan Da, Lei Chen

J. Supercomput., 2020

Autonomous aerial cinematography in unstructured environments with learned artistic decision-making.

Rogerio Bonatti, Wenshan Wang, Cherie Ho, Aayush Ahuja, Mirko Gschwindt, Efe Camci, Erdal Kayacan, Sanjiban Choudhury, Sebastian A. Scherer

J. Field Robotics, 2020

Dynamic interaction networks for image-text multimodal learning.

Wenshan Wang, Pengfei Liu, Su Yang, Weishan Zhang

Neurocomputing, 2020

TartanAir: A Dataset to Push the Limits of Visual SLAM.

Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, Sebastian A. Scherer

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Visual Memorability for Robotic Interestingness via Unsupervised Online Learning.

Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian A. Scherer

Proceedings of the Computer Vision - ECCV 2020, 2020

TartanVO: A Generalizable Learning-based VO.

Wenshan Wang, Yaoyu Hu, Sebastian A. Scherer

Proceedings of the 4th Conference on Robot Learning, 2020

2019

A multi-focus image fusion algorithm in 5G communications.

Jianguo Sun, Wenshan Wang, Kejia Zhang, Liguo Zhang, Yun Lin, Qilong Han, Qingan Da, Liang Kou

Multim. Tools Appl., 2019

Neural aesthetic image reviewer.

Wenshan Wang, Su Yang, Weishan Zhang, Jiulong Zhang

IET Comput. Vis., 2019

An intelligent method of cancer prediction based on mobile cloud computing.

Guoyin Zhang, Liang Kou, Ye Yuan, Jianguo Sun, Yun Lin, Qingan Da, Wenshan Wang

Clust. Comput., 2019

Improving Learning-based Ego-motion Estimation with Homomorphism-based Losses and Drift Correction.

Xiangwei Wang, Daniel Maturana, Shichao Yang, Wenshan Wang, Qijun Chen, Sebastian A. Scherer

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematography.

Mirko Gschwindt, Efe Camci, Rogerio Bonatti, Wenshan Wang, Erdal Kayacan, Sebastian A. Scherer

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments.

Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, Sebastian A. Scherer

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Improved Generalization of Heading Direction Estimation for Aerial Filming Using Semi-Supervised Regression.

Wenshan Wang, Aayush Ahuja, Yanfu Zhang, Rogerio Bonatti, Sebastian A. Scherer

Proceedings of the International Conference on Robotics and Automation, 2019

2018

A Novel Hybrid Information Security Scheme for 2D Vector Map.

Qingan Da, Jianguo Sun, Liguo Zhang, Liang Kou, Wenshan Wang, Qilong Han, Ruolin Zhou

Mob. Networks Appl., 2018

Urban Perception of Commercial Activeness from Satellite Images and Streetscapes.

Wenshan Wang, Su Yang, Zhiyuan He, Minjie Wang, Jiulong Zhang, Weishan Zhang

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Autonomous Drone Cinematographer: Using Artistic Principles to Create Smooth, Safe, Occlusion-Free Trajectories for Aerial Filming.

Rogerio Bonatti, Yanfu Zhang, Sanjiban Choudhury, Wenshan Wang, Sebastian A. Scherer

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

A lightweight multi-factor mobile user authentication scheme.

Jianguo Sun, Qi Zhong, Liang Kou, Wenshan Wang, Qingan Da, Yun Lin

Proceedings of the IEEE INFOCOM 2018, 2018

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories.

Yanfu Zhang, Wenshan Wang, Rogerio Bonatti, Daniel Maturana, Sebastian A. Scherer

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Predicting Commercial Activeness over Urban Big Data.

Su Yang, Minjie Wang, Wenshan Wang, Yi Sun, Jun Gao, Weishan Zhang, Jiulong Zhang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

A Novel Fragile Watermarking Scheme for 2D Vector Map Authentication.

Guoyin Zhang, Qingan Da, Liguo Zhang, Jianguo Sun, Qilong Han, Liang Kou, Wenshan Wang

Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

2016

Ubiquitous Robotic Technology for Smart Manufacturing System.

Wenshan Wang, Xiaoxiao Zhu, Liyu Wang, Qiang Qiu, Qixin Cao

Comput. Intell. Neurosci., 2016

3D FieldLut Algorithm Based Indoor Localization for Planar Mobile Robots Using Kinect.

Xiaoxiao Zhu, Qixin Cao, Wenshan Wang

Proceedings of the Intelligent Autonomous Systems 14, 2016

Online Adjusting Task Models for Ubiquitous Robotic Systems.

Wenshan Wang, Qixin Cao, Qiang Qiu, Gilbert K. Cheruiyot

Proceedings of the Intelligent Autonomous Systems 14, 2016

Study on ubiquitous robotic systems for smart manufacturing program.

Qixin Cao, Wenshan Wang, Xiaoxiao Zhu, Chuntao Leng, Masaru Adachi

Proceedings of the 2016 IEEE Workshop on Advanced Robotics and its Social Impacts, 2016

2015

A Framework for Intelligent Service Environments Based on Middleware and General Purpose Task Planner.

Wenshan Wang, Qixin Cao, Xiaoxiao Zhu, Shuang Liang

Proceedings of the 2015 International Conference on Intelligent Environments, 2015

Social context awareness from taxi traces: mining how human mobility patterns are shaped by bags of POI.

Jingmin Chen, Su Yang, Wenshan Wang, Minjie Wang

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

2014

An automatic switching approach of robotic components for improving robot localization reliability in complicated environment.

Wenshan Wang, Qixin Cao, Xiaoxiao Zhu, Masaru Adachi

Ind. Robot, 2014

Online Multiperson Tracking and Counting with Cloud Computing.

Weishan Zhang, Wenshan Wang, Pengcheng Duan, Xin Liu, Qinghua Lu

Proceedings of the International Conference on Identification, 2014

2013

Towards a Pervasive Cloud Computing Based Food Image Recognition.

Wenshan Wang, Pengcheng Duan, Weishan Zhang, Faming Gong, Peiying Zhang, Yuan Rao

Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

Food Image Recognition Using Pervasive Cloud Computing.

Pengcheng Duan, Wenshan Wang, Weishan Zhang, Faming Gong, Peiying Zhang, Yuan Rao

Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2010

Auto-Creation and Navigation of the Multi-area Topological Map for 3D Large-Scale Environment.

Wenshan Wang, Qixin Cao, Chengcheng Deng, Zhong Liu

Proceedings of the Life System Modeling and Intelligent Computing, 2010