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Weimin Wang (王维民)

Associate Professor
International School of Information Science and Engineering
Dalian University of Technology
Email: wangweimin [at] dlut (dot) edu (dot) cn

Google Scholar / DBLP / ORCID / Github / 中文

Research Topics
  • Multi-Modal Sensors Calibration
  • Multi-Modal Perception
  • 3D Reconstruction
  • Scene Understanding

I am currently an Associate Professor (Tenured) of International School of Information Science and Engineering at Dalian University of Technology (DUT) . Before joining DUT, I was a researcher at Artificial Intelligence Research Center (AIRC) of AIST from 2018 to 2021. I received the Ph.D. degree from Nagoya University in 2017, an M.Sc. degree from Osaka University in 2012 and a Bachelor degree from Shanghai Jiao Tong University (SJTU) in 2009. I am also a Guest Researcher of AIRC since 2022 and a Guest Associate Professor of Ritsumeikan University since 2022.

I research machine perception, scene understanding and interaction from different scales of the 3D physical world using multimodal sensor data (Camera images, LiDAR 3D point clouds, Radar scans, etc.), aiming to enable machines to see the world in super vision.


News

[2024.03] Two papers accepted by ICME 2024.
[2024.02] One paper accepted by CVPR 2024.
[2023.12] Two papers accepted by ICASSP 2024.
[2023.09] One paper accepted by Neurocomputing.
[2023.08] One paper accepted by RA-L.
[2023.08] Two papers accepted by PRCV 2023.
[2023.07] One paper accepted by ACM MM 2023.
[2023.04] Homepage renewed.
[2023.02] One paper accepted by ICASSP 2023.
[2022.12] One paper accepted by IJAEOG.
[2022.10] Co-organize a special issue on Real-Time Machine Vision Acceleration Technology and Applications at JRTIP.

Publications

(* indicates corresponding author(s))

[2024]

asp
Attribution-based Scanline Perturbation Attack on 3D Detectors of LiDAR Point Clouds
Ziyang Yu, Ting Yang, Qiong Chang, Yu Liu, Weimin Wang*
ICASSP 2024, Paper / Project Page
Sketch_shape_retrieval
Sketch-based 3D Shape Retrieval with Multi-view Fusion Transformer
Cunjuan Zhu, Dongdong Cui, Qi Jia, Weimin Wang, Yu Liu*, Michael S. Lew
ICASSP 2024, Paper

[2023]

DU
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation
Haoyi Xiu, Xin Liu*, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
Neurocomputing
Neurocomputing, Paper/ Arxiv/ Project
CRFOR
Snow Removal for LiDAR Point Clouds With Spatio-Temporal Conditional Random Fields
Weimin Wang, Ting Yang, Yu Du, Yu Liu*
IEEE Robotics and Automation Letters
CMSCNet
Enhancing Lidar and Radar Fusion for Vehicle Detection in Adverse Weather via Cross-Modality Semantic Consistency
Yu Du, Ting Yang, Qiong Chang, Wei Zhong, Weimin Wang*
PRCV 2023, Paper
PACL
Broaden Your Positives: A General Rectification Approach for Novel Class Discovery
Yaqi Cai, Nan Pu, Qi Jia, Weimin Wang, Yu Liu*
PRCV 2023, Paper
MSECNet
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning
Haoyi Xiu, Xin Liu*, Weimin Wang*, Kyoung-Sook Kim, Masashi Matsuoka
ACM'MM 2023, Paper / Arxiv / Project Page
van-icp
VAN-ICP: GPU-Accelerated Approximate Nearest Neighbor Search for ICP Registration via Voxel Dilation
Weimin Wang, Qiong Chang*
ICASSP 2023, Paper / Project Page
Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling
Haoyi Xiu, Xin Liu*, Weimin Wang*, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
MMM 2023, Paper
DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds
Haoyi Xiu, Xin Liu*, Weimin Wang*, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
International Journal of Applied Earth Observation and Geoinformation
IJAEOG, Paper

[2022]

Weakly Supervised Point Cloud Upsampling VIA Optimal Transport
Zezeng Li, Weimin Wang, Na Lei, Rui Wang
ICASSP 2022, Paper / Project Page
Surgical Skill Assessment via Video Semantic Aggregation
Zhenqiang Li, Lin Gu, Weimin Wang*, Ryosuke Nakamura, Yoichi Sato
MICCAI 2022, Paper / Arxiv / Project Page
Spatio-Temporal Perturbations for Video Attribution
Zhenqiang Li, Weimin Wang*, Zuoyue Li, Yifei Huang, Yoichi Sato
IEEE Transactions on Circuits and Systems for Video Technology,
Efficient Stereo Matching on Embedded GPUs with Zero-Means Cross Correlation
Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama
Journal of Systems Architecture,

[2021]

Towards Visually Explaining Video Understanding Networks with Perturbation
Zhenqiang Li, Weimin Wang*, Zuoyue Li, Yifei Huang, Yoichi Sato
WACV 2021, / Paper / Arxiv / Project Page
Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention
Haoyi Xiu, Xin Liu*, Weimin Wang*, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
BMVC 2021, Paper / Arxiv
Delivery of Omnidirectional Video using Saliency Prediction and Optimal Bitrate Allocation
Cagri Ozcinar, Nevrez İmamoğlu, Weimin Wang, Aljosa Smolic
Signal, Image and Video Processing
SViP, Paper

[2020]

P2Net: A Post-Processing Network for Refining Semantic Segmentation of LiDAR Point Cloud based on Consistency of Consecutive Frames
Yutaka Momma, Weimin Wang*, Edgar Simo-Serra, Satoshi Iizuka, Ryosuke Nakamura, Hiroshi Ishikawa
SMC 2020, Paper / Arxiv
SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera
Weimin Wang, Shohei Nobuhara, Ryosuke Nakamura, Ken Sakurada
Densification of Airborne Lidar Point Cloud with Fused Encoder-Decoder Networks
Weimin Wang, Poliyapram Vinayaraj, Ryosuke Nakamura
IGARSS 2020, Paper
PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color
Xu Cao, Weimin Wang, Katashi Nagao, Ryosuke Nakamura
WACV 2020 Paper / Project Page
Weakly Supervised Silhouette-based Semantic Scene Change Detection
Ken Sakurada, Mikiya Shibuya, Weimin Wang
ICRA 2020, Paper / Arxiv / Project Page
Z2-ZNCC: ZigZag Scanning based Zero-means Normalized Cross Correlation for Fast and Accurate Stereo Matching on Embedded GPU
Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Tsutomu Maruyama
ICCD 2020 Paper

[Before 2020]

A Point-wise LiDAR and Image Multimodal Fusion Network (PMNet) for Aerial Point Cloud 3D Semantic Segmentation
Vinayaraj Poliyapram, Weimin Wang, Ryosuke Nakamura
Remote Sensing 2019,
Image-matching based Identification of Store Signage using Web-crawled Information
Chenyi Liao, Weimin Wang, Ken Sakurada, Nobuo Kawaguchi
IEEE Access, 2018
Access Paper
Image Translation Between Sar and Optical Imagery with Generative Adversarial Nets
Kenji Enomoto, Ken Sakurada, Weimin Wang, Nobuo Kawaguchi, Masashi Matsuoka, Ryosuke Nakamura
IGARSS 2018, Paper
Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera using a Printed Chessboard
Weimin Wang, Ken Sakurada, Nobuo Kawaguchi
Remote Sensing 2017,
Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets
Kenji Enomoto, Ken Sakurada, Weimin Wang, Hiroshi Fukui, Masashi Matsuoka, Ryosuke Nakamura, Nobuo Kawaguchi
CVPRW 2017, Paper / Arxiv / Project Page
Dense Optical Flow based Change Detection Network Robust to Difference of Camera Viewpoints
Ken Sakurada, Weimin Wang, Nobuo Kawaguchi, Ryosuke Nakamura
Arxiv Paper
Incremental and enhanced scanline-based segmentation method for surface reconstruction of sparse LiDAR data
Weimin Wang, Ken Sakurada, Nobuo Kawaguchi
Remote Sensing 2016,
UbiComp/ISWC 2015 PDR Challenge Corpus
Katsuhiko Kaji, Masaaki Abe, Weimin Wang, Kei Hiroi, Nobuo Kawaguchi
UbicompW 2016 Paper
A design of 0.7-V 400-MHz all-digital phase-locked loop for implantable biomedical devices
Jungnam Bae, Saichandrateja Radhapuram, Ikkyun Jo, Weimin Wang, Takao Kihara, Toshimasa Matsuoka
IEICE Transactions on Electronics 2016,
IEICE Paper
Velobug: A Mobile System for 3D Indoor Mapping
Weimin Wang, Kenji Yamakawa, Kei Hiroi, Katsuhiko Kaji, Nobuo Kawaguchi
UbicompW 2015, Paper

Teaching

  • Information Security, Fall 2021, Fall 2022, Fall 2023
  • Software Interface and Human–computer Interaction, Fall 2021, Fall 2022, Fall 2023
  • Object Oriented Technology UML, Spring 2022, Spring 2023

Projects

  • First Person Vision in 3D Physical World at AIST in 2019-2021.
  •     

  • Compact Mobile Mapping System at Nagoya University in 2017 and AIST in 2018.


  • Indoor and Outdoor Mapping at Nagoya University in 2015-2017 and AIST in 2018-2019.
  •  

Services

[Co-organizer]

  • [Speical Issue] at Journal of Real-Time Image Processing
  • [Technical Committee] Complex Adaptive Systems Conference 2019
  • [Reviewer]

  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023,2024
  • IEEE International Conference on Computer Vision (ICCV) 2023
  • European Conference on Computer Vision (ECCV) 2022,2024
  • Neural Information Processing Systems (NeurIPS) 2022,2023
  • International Conference on Machine Learning (ICML) 2023,2024
  • International Conference on Learning Representations (ICLR) 2024
  • Eurographics (EG) 2023
  • British Machine Vision Conference (BMVC) 2022
  • IEEE Robotics and Automation Letters (RA-L)
  • Pattern Recognition (PR)
  • International Journal of Computer Vision (IJCV)