About Me

xuequanlu I am a Senior Lecturer (equiv. to Associate Professor in North American system) at La Trobe 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

Research interests: my research interests mainly fall into the category of Visual Data Computing, for example, 3D geometry modeling, processing and analysis, VR/AR, 2D data processing and analysis, animation/simulation. Please refer to ORCID for an up-to-date list of my research work. Refer to Publications or ResearchGate to download preprints (and results, codes, bibtex).

Email: b.lu AT latrobe.edu.au

I am constantly looking for active Ph.D candidates, as well as visiting students/scholars. Please contact me (typically with a CV), if you are interested in visual data computing. 

Flag Counter Recent News

12/2023 Our paper accepted to AAAI 2024!

12/2023 Two papers accepted to CVM 2024

10/2023 I am invited to be a Program Chair in the 10th ICVR 2024

09/2023 Our paper accepted to IEEE TMM!

08/2023 I am invited to be the Publicity Chair of CVM 2024

08/2023 One paper accepted to IEEE TMC

07/2023 One paper accepted to ICCV 2023!

07/2023 I act as a Session Chair in ICME 2023 (Brisbane, Australia)

07/2023 One paper accepted to Pattern Recognition

05/2023 I am invited to be an ‘AC’ & Student Competition Chair in ISMAR 2023

03/2023 Our paper accepted to IEEE TVCG!

03/2023 One paper accepted to ICME 2023 and one accepted to ICASSP 2023

02/2023 Three papers accepted to CVPR 2023!

02/2023 One paper accepted to IEEE TCSVT

01/2023 Our paper accepted to IEEE TPAMI!

01/2023 Our paper accepted to IEEE TMM!

01/2023 Our paper accepted to Pattern Recognition

12/2022 I serve as a Publication Chair for CGI 2023

11/2022 We organise a Special Session on ICME 2023 (CORE A)

10/2022 I serve as a Technical Program Co-Chair for ICVR 2023

10/2022 Our survey paper on 3D face recognition accepted to CVMJ

09/2022 Our paper accepted to IEEE TCSVT

08/2022 Our paper accepted to IEEE ISMAR 2022

08/2022 Two papers accepted to Pacific Graphics 2022

07/2022 Our Federated Learning paper accepted to IEEE TSC!

06/2022 Our paper accepted to KBS

05/2022 Our paper accepted to IEEE JBHI

05/2022 We lead a Special Session in ICONIP 2022and welcome

              submissions (full papers)

05/2022 We organise a Special Issue on IEEE Intelligent Systems (CORE A, IF: 6.744),

              and welcome submissions (full papers)
05/2022 We organise a Workshop on ACCV 2022, and welcome Oral and

              Poster submissions
05/2022 One paper accepted to CVIU
05/2022 Our paper accepted to Pattern Recognition!
04/2022 Our paper (Long Oral: 3.75% rate) accepted to IJCAI 2022!
04/2022 Our paper accepted to Pattern Recognition!
03/2022 Four papers accepted to ICME 2022!
03/2022 Our paper accepted to CVPR 2022!
01/2022 Our review paper accepted to Computers in Biology and Medicine
12/2021 Our paper accepted to CVM 2022
12/2021 I join the Editorial Board of Neurocomputing
12/2021 I join the Editorial Board of The Visual Computer Journal
11/2021 Our paper accepted to CAD
10/2021 The source code of the low-rank geometry filtering paper released
09/2021 Our papers accepted to IEEE PRDC 2021 and Knowledge-Based Systems
08/2021 Our paper accepted to IEEE ISMAR 2021!
07/2021 Our paper accepted to ICCV 2021!
06/2021 Our paper accepted to IEEE TAFFC!
04/2021 Our paper accepted to IEEE TIP!
04/2021 Papers accepted to CASA2021 and IJCNN2021
03/2021 We released a biological image dataset (& benchmark), welcome for use!
01/2021 I serve as a member in the International Program Committee of CASA2021
11/2020 I serve as a member in the International Program Committee of GMP2021
10/2020 Our paper (Blur Removal via Blurred-Noisy Image Pair) accepted to IEEE TIP!
10/2020 Our paper (Federated Learning) accepted to IEEE TPDS!
09/2020 Our papers (Pointfilter (code) and Low-rank) accepted to IEEE TVCG!
09/2020 Papers accepted to Neural Networks and ICONIP 2020!
07/2020 Our code for Deep Feature-preserving Normal Estimation released!