Dr Xuequan Lu

STAFF PROFILE

Position

Lecturer, Information Technology

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Biography

I am a Lecturer (Assistant Professor) at Deakin University in Australia. I have spent more than two wonderful years as a Research Fellow in Singapore. Prior to that, I received my Ph.D in the College of Computer Science and Technology at Zhejiang University (China) in June 2016.

Read more on Xuequan's profile

Research interests

My research interests mainly fall into the category of Visual Data Computing, for example, geometry modeling, processing and analysis, animation/simulation, 2D data processing and analysis. Please refer to DBLP for a complete list of my research work.

Units taught

SIT105: THINKING TECHNOLOGY AND DESIGN

SIT103: DATA AND INFORMATION MANAGEMENT

SIT740: RESEARCH AND DEVELOPMENT IN INFORMATION TECHNOLOGY

SIT264 - AUTHORING OF INTERACTIVE MEDIA

Publications

Filter by

2020

HLO: Half-kernel Laplacian Operator for surface smoothing

W Pan, X Lu, Y Gong, W Tang, J Liu, Y He, G Qiu

(2020), Vol. 121, pp. 1-11, CAD computer aided design, Amsterdam, The Netherlands, C1

journal article

G2MF-WA: Geometric multi-model fitting with weakly annotated data

C Zhang, X Lu, K Hotta, X Yang

(2020), pp. 1-11, Computational Visual Media, Berlin, Germany, C1

journal article

Deep feature-preserving normal estimation for point cloud filtering

Dening Lu, Xuequan Lu, Yangxing Sun, Jun Wang

(2020), Vol. 125, pp. 1-12, Computer-aided design, Amsterdam, The Netherlands, C1

journal article

Application of evolutionary and swarm optimization in computer vision: a literature survey

T Nakane, N Bold, H Sun, X Lu, T Akashi, C Zhang

(2020), Vol. 12, pp. 1-34, IPSJ Transactions on Computer Vision and Applications, London, Eng., C1

journal article

Blur-countering keypoint detection via eigenvalue asymmetry

Chao Zhang, Xuequan Lu, Takuya Akashi

(2020), Vol. 8, pp. 159077-159088, IEEE Access, Piscataway, N.J., C1

journal article

Multi-label zero-shot learning with graph convolutional networks

G Ou, G Yu, C Domeniconi, X Lu, X Zhang

(2020), Vol. 132, pp. 333-341, Neural networks, Amsterdam, The Netherlands, C1

journal article

A Search History-Driven Offspring Generation Method for the Real-Coded Genetic Algorithm.

Takumi Nakane, Xuequan Lu, Chao Zhang

(2020), Vol. 2020, pp. 1-20, Computational Intelligence and Neuroscience, New York, N.Y., C1

journal article

HDF: Hybrid deep features for scene image representation

Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu

(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1

conference
2019

Indoor image representation by high-level semantic features

C Sitaula, Y Xiang, Y Zhang, X Lu, S Aryal

(2019), Vol. 7, pp. 84967-84979, IEEE access, Piscataway, N.J., C1

journal article

3D articulated skeleton extraction using a single consumer-grade depth camera

X Lu, Z Deng, J Luo, W Chen, S Yeung, Y He

(2019), Vol. 188, pp. 1-13, Computer vision and image understanding, Amsterdam, The Netherlands, C1

journal article

A probabilistic bitwise genetic algorithm for B-spline based image deformation estimation

T Nakane, X Lu, T Akashi, C Zhang

(2019), pp. 300-301, GECCO 2019 : Proceedings of the Genetic and Evolutionary Computation Conference, Prague, Czech Republic, E1

conference

Unsupervised deep features for privacy image classification

C Sitaula, Y Xiang, S Aryal, X Lu

(2019), Vol. 11854, pp. 404-415, Image and video technology : 9th Pacific-Rim Symposium, PSIVT 2019, Sydney, NSW, Australia, November 18-22, 2019, Proceedings, Sydney, N.S.W., E1

conference

Tag-based semantic features for scene image classification

C Sitaula, Y Xiang, A Basnet, S Aryal, X Lu

(2019), Vol. 11955, pp. 90-102, APNNS 2019 : Proceedings of the 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society 2019, Sydney, N.S.W., E1

conference
2018

GPF: GMM-inspired feature-preserving point set filtering

Xuequan Lu, Shihao Wu, Honghua Chen, Sai-Kit Yeung, Wenzhi Chen, Matthias Zwicker

(2018), Vol. 24, pp. 2315-2326, IEEE transactions on visualization and computer graphics, Piscataway, N.J., C1-1

journal article

Unsupervised articulated skeleton extraction from point set sequences captured by a single depth camera

X Lu, H Chen, S Yeung, Z Deng, W Chen

(2018), pp. 7226-7234, AAAI-18 : Proceedings of the 32nd AAAI Conference on Artificial Intelligence, New Orleans, La., E1-1

conference
2017

Robust mesh denoising via vertex pre-filtering and L?-median normal filtering

X Lu, W Chen, S Schaefer

(2017), Vol. 54, pp. 49-60, Computer aided geometric design, Amsterdam, The Netherlands, C1-1

journal article

An efficient approach for feature-preserving mesh denoising

X Lu, X Liu, Z Deng, W Chen

(2017), Vol. 90, pp. 186-195, Optics and lasers in engineering, Amsterdam, The Netherlands, C1-1

journal article
2016

A robust scheme for feature-preserving mesh denoising

Xuequan Lu, Zhigang Deng, Wenzhi Chen

(2016), Vol. 22, pp. 1181-1194, IEEE transactions on visualization and computer graphics, Piscataway, N.J., C1-1

journal article
2014

AA-FVDM: an accident-avoidance full velocity difference model for animating realistic street-level traffic in rural scenes

X Lu, W Chen, M Xu, Z Wang, Z Deng, Y Ye

(2014), Vol. 25, pp. 83-97, Computer animation and virtual worlds, Chichester, Eng., C1-1

journal article

An original-stream based solution for smoothly replaying high-definition videos in desktop virtualization systems

K Su, Z Wang, X Lu, W Chen

(2014), Vol. 25, pp. 39-46, Journal of Visual Languages & Computing: Distributed Multimedia Systems DMS2014 Part I, Pittsburgh, PA, USA, E1-1

conference

A personality model for animating heterogeneous traffic behaviors

X Lu, Z Wang, M Xu, W Chen, Z Deng

(2014), Vol. 25, pp. 361-371, CASA 2014 : Proceedings of the 27th Conference on Computer Animation and Social Agents 2014, Houston, Tex., E1-1

conference
2013

Adaptive-AR model with drivers' prediction for traffic simulation

X Lu, M Xu, W Chen, Z Wang, A El Rhalibi

(2013), International journal of computer games technology, Cairo, Egypt, C1-1

journal article

Funded Projects at Deakin

Industry and Other Funding

3D Foot Matching

Dr Xuequan Lu

  • 2020: $37,000

Supervisions

No completed student supervisions to report