Research output per year
Research output per year
Personal profile
Research Interests
Biometrics, Measurement, Point cloud processing, Deep learning, 3D body scanning
Biography
Pengpeng Hu is currently an Assistant Professor at the Centre for Computational Science and Mathematical Modelling, Coventry University, UK. He received his 1st PhD degree in Digital Textile Engineering from Donghua University, China, in 2017, and his 2nd PhD degree in Engineering Science from Vrije Universiteit Brussel, Belgium, in 2022. Before joining in Coventry University, he was a Senior Researcher at the Electronics and Informatics Department, Vrije Universiteit Brussel (VUB), Ixelles, Belgium. In 2016, he was a Visiting Scholar with the School of Informatics of Edinburgh University, Edinburgh, U.K. In 2017, he was a Postdoctoral Fellow with the Computer and Information Sciences Department, Northumbria University, Newcastle upon Tyne, U.K. Since 2018, he had been at VUB. His research interests include biometrics, geometric deep learning, 3D human body reconstruction, point cloud processing, and measurement. He is the Early Career Advisory Board Member for the journals MEASUREMENT, MEASUREMENT: SENSORS, JOURNAL OF TEXTILE RESEARCH, and JOURNAL OF SILK. He is also the Editorial Member for the JOURNAL OF MODERN INDUSTRY AND MANUFACTURING and is the Topical Advisory Panel Member for the journals MDPI SENSORS and MDPI DESIGNS. He was the Guest Editor of the MDPI SENSORS, the Technical Support Chair of BMVC 2018, and a member of the Program Committee in SKIMA 2017, SKIMA 2018, and SKIMA 2019. He is the outstanding paper winner of the Emerald Literati Award 2019.
Fingerprint
Dive into the research topics where Pengpeng Hu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
External collaboration on country/territory level for the past five years. Dive into details by clicking on the dots or
-
AlignBodyNet: Deep Learning-based Alignment of Non-overlapping Partial Body Point Clouds from a Single Depth Camera
Hu, P., Ho, E. S. L. & Munteanu, A., 2023, In: IEEE Transactions on Instrumentation and Measurement. 72, p. (In-Press) 9 p., 2502609.Research output: Contribution to journal › Article › peer-review
-
PoseNormNet: Identity-preserved Posture Normalization of 3D Body Scans in Arbitrary Postures
Zhao, R., Dai, X., Hu, P. & Munteanu, A., 16 Feb 2023, (E-pub ahead of print) In: IEEE Transactions on Industrial Informatics. (In-Press), p. (In-Press) 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
A Deep Learning Approach to Automatically Extract 3D Hand Measurements
Kaashki, N., Dai, X., Gyarmathy, T., Hu, P., Iancu, B. & Munteanu, A., 10 Jun 2022, Proceedings 2022 International Conference on Machine Learning Technologies: ICMLT 2022. ACM, p. 141-146 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
-
Automatic and Fast Extraction of 3D Hand Measurements using a Deep Neural Network
Kaashki, N., Dai, X., Gyarmathy, T., Hu, P., Iancu, B. & Munteanu, A., 30 Jun 2022, I2MTC 2022 - IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement under Pandemic Constraints, Proceedings. IEEE, p. 1-6 6 p. (Conference Record - IEEE Instrumentation and Measurement Technology Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review
Open AccessFile6 Downloads (Pure) -
Automatic Foot Measurement Extraction from A 3D Point Cloud via a Deep Neural Network
Kaashki, N., Dai, X., Hu, P. & Munteanu, A., Nov 2022, (E-pub ahead of print) Proceeding of 3DBODY.TECH 2022. Hometrica Consulting , 47Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review