profile photo

Hengli Wang (王恒立)

Ph.D. candidate
Robotics Institute
Department of Electronic and Computer Engineering
The Hong Kong University of Science and Technology

Email: hwangdf@connect.ust.hk

About me

I am Hengli Wang, a third-year Ph.D. candidate of RAM-LAB at the Robotics Institute of Hong Kong University of Science and Technology (HKUST), supervised by Prof. Ming Liu . I received my B.E. from Zhejiang University (ZJU) in 2018.

CV  /  Github  /  Google Scholar

News!!!

  • 12/2020: One paper got accepted by IEEE RAM.
  • 10/2020: One paper got accepted by IEEE T-IV.
  • 10/2020: One paper got accepted by CoRL 2020.
  • 09/2020: Welcome to our Autonomous Vehicle Vision (AVVision'21) Workshop in conjunction with WACV 2021.
  • 08/2020: Two papers got accepted by ECCV Workshop 2020.
  • 07/2020: One paper got accepted by ECCV 2020.
  • 07/2020: One paper got accepted by IROS 2020.

Research

My research interests mainly include computer vision and visual navigation on mobile robots. Specifically, I am working on the computation of visual features such as stereo matching, optical flow estimation and surface normal estimation. I am also focusing on improving perception performance and visual navigation performance by exploiting the aforementioned visual features. Representative works are highlighted.

Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak
IEEE Robotics and Automation Magazine (RAM), 2020

Tianyu Liu*, Qinghai Liao*, ..., Hengli Wang, ..., Ming Liu (* indicates equal contribution)
arXiv / bibtex

VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments
IEEE Transactions on Intelligent Vehicles (T-IV), 2020

Peide Cai, Yuxiang Sun, Hengli Wang, Ming Liu
arXiv / bibtex / project page / code / dataset

CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation
Conference on Robot Learning (CoRL), 2020 (34% acceptance rate)

Hengli Wang, Rui Fan, Ming Liu
arXiv / bibtex / project page / code
ATG-PVD: Ticketing Parking Violations on A Drone
European Conference on Computer Vision (ECCV) Workshops, 2020

Hengli Wang*, Yuxuan Liu*, Huaiyang Huang*, Yuheng Pan*, Wenbin Yu, Jialin Jiang, Dianbin Lyu, Mohammud J. Bocus, Ming Liu, Ioannis Pitas, Rui Fan (* indicates equal contribution)
arXiv / bibtex / project page / dataset

We Learn Better Road Pothole Detection: from Attention Aggregation to Adversarial Domain Adaptation
European Conference on Computer Vision (ECCV) Workshops, 2020

Rui Fan*, Hengli Wang*, Mohammud J. Bocus, Ming Liu (* indicates equal contribution)
arXiv / bibtex / project page / code / dataset

SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection
European Conference on Computer Vision (ECCV), 2020

Rui Fan*, Hengli Wang*, Peide Cai, Ming Liu (* indicates equal contribution)
arXiv / bibtex / project page / code / dataset
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

Hengli Wang*, Rui Fan*, Yuxiang Sun, Ming Liu (* indicates equal contribution)
arXiv / bibtex / code

FuseSeg: Semantic Segmentation of Urban Scenes Based on RGB and Thermal Data Fusion
IEEE Transactions on Automation Science and Engineering (T-ASE), 2020

Yuxiang Sun, Weixun Zuo, Peng Yun, Hengli Wang, Ming Liu
pdf / bibtex

Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator
arXiv:2005.08165

Rui Fan, Hengli Wang, Bohuan Xue, Huaiyang Huang, Yuan Wang, Ming Liu, Ioannis Pitas
arXiv / bibtex / project page

Self-Supervised Drivable Area and Road Anomaly Segmentation Using RGB-D Data For Robotic Wheelchairs
IEEE Robotics and Automation Letters (RA-L), 2019

Hengli Wang, Yuxiang Sun, Ming Liu
arXiv / bibtex / code / dataset

Service

  • Journal review for IEEE RA-L.
  • Conference review for IROS 2019, 2020; ICRA 2019, 2020, 2021; BMVC 2020, WACVW 2021 and CVPR 2021.
  • Technical program committee for AVVision'21 Workshop in conjunction with WACV 2021.


Page template