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Dr. Sk Aziz Ali

  • Department:    CVI²
  • Postal Address: CVI², Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-KalergiL-1359 Luxembourg


  • Email:                     skaziz.ali@uni.lu
  • Telephone:             (+352) 123 45678
  • LinkedIn:                Sk Aziz Ali
  • Google Scholar:    Sk Aziz Ali


Sk Aziz Ali holds M.Sc in Computer Science from Technical University of Kaiserslautern(TU KL), Germany in 2017, specialized in Computer Graphics and Scientific Visualization. He did his master thesis, titled as- “Visualization of FEM data for FRP materials”, from DLR(German Aerospace) where he prototyped a visually based Fiber Reinforced Plastic(FRP) material failure analysis tool to help structure designing engineers analyzing the strength of aircraft components. Sk Aziz Ali has joined the Augmented Vision research group at DFKI in 2017. His research interest combines Reconstruction of Non-rigid bodies, Medical Image Analysis, and High-Performance Computing in Scientific Visualization.  He is currently holding Research Associate position at the Computer Vision, Imaging and Machine Intelligence (CVI2) research group in SnT, University of Luxembourg.

Research INterests

  • 3D Scene and Shape Reconstruction
  • Representation Learning and Predictive Uncertainty Modeling
  • Scientific Visualization of Unstructured Dataset
  • Learning-based 3D scan to CAD modeling
  • Natural Language Processing in Solid Geometry Modeling



Elona Dupont, Kseniya Cherenkova, Anis Kacem, Sk Aziz Ali, Ilya Arzhannikov, Gleb Gusev, and Djamila Aouada,CADOps-Net: Jointly Learning CAD Operation Types and Steps from Boundary-Representations.” In IEEE International Conference of 3D Vision (3DV), 2022. [Project Page]

Ahmet Serdar Karadeniz, Sk Aziz Ali, Anis Kacem, Elona Dupont, and Djamila Aouada,TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network.” In European Conference of Computer Vision Workshop (ECCVW), 2022. [Project Page]


Ali, Sk Aziz, Kerem Kahraman, Gerd Reis, and Didier Stricker. 2021. “RPSRNet: End-to-End Trainable Rigid Point Set Registration Network Using Barnes-Hut 2D-Tree Representation.” In Proceedings Conference on Computer Vision and Pattern Recognition, IEEE 2021

Ali, Sk Aziz, Kerem Kahraman, Christian Theobalt, Didier Stricker, and Vladislav Golyanik., “Fast Gravitational Approach for Rigid Point Set Registration with Ordinary Differential Equations.” IEEE Access 9: 79060–79. 2021

Malik, Jameel, Soshi Shimada, Ahmed Elhayek, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, and Didier Stricker., “HandVoxNet++: 3D Hand Shape and Pose Estimation Using Voxel-Based Neural Networks.” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2021


Ali, Sk Aziz, Sikang Yan, Wolfgang Dornisch, and Didier Stricker., “FoldMatch: Accurate and High Fidelity Garment Fitting onto 3D Scans.” In 2020 Ieee International Conference on Image Processing (ICIP), 2716–20. IEEE, 2020

Malik, Jameel, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, and Didier Stricker. 2020. “Handvoxnet: Deep Voxel-Based Network for 3d Hand Shape and Pose Estimation from a Single Depth Map.” In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), 7113–22. 2020


Su, Yongzhi, Vladislav Golyanik, Nareg Minaskan, Sk Aziz Ali, and Didier Stricker. 2019. “A Shape Completion Component for Monocular Non-Rigid Slam.” In International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 332–37. IEEE. 2019


Ali, Sk Aziz, Vladislav Golyanik, and Didier Stricker. 2018. “Nrga: Gravitational Approach for Non-Rigid Point Set Registration.” In International Conference on 3D Vision (3DV), IEEE, 2018.

Golyanik, Vladislav, Sk Aziz Ali, and Didier Stricker. 2016. “Gravitational Approach for Point Set Registration.” In Proceedings of  Conference on Computer Vision and Pattern Recognition (CVPR), 2016