Dr. Sk Aziz Ali

I have embarked a new position as a full-time Assistant Profesor of BITS Pilani (Hyderabad Campus) at the department of Computer Science and Information Systems (CSIS). BITS Pilani stands as India’s No.1 ranking private Institute of Eminence for STEM education. I am also associated as an adjunct researcher at the Augmented Vision group of German Research Center for Artificial Intelligence (DFKI GmbH). Previously, I was a postdoctoral researcher at the Computer Vision Imaging and Machine Intelligence (CVI2) research group led by Prof. Dr. Djamila Aouada at the University of Luxembourg. Prior to joining CVI2 group, I received my PhD and M.Sc in Computer Science from the University of Kaiserslauter-Landau (RPTU), Germany. My PhD and Masters study advisors were Prof. Dr. Didier Stricker and Prof. Dr. Hans Hagen.

Research

I did my 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. My primary emphasis during doctoral research program with the German Research Center for Artificial Intelligence was “Fast Robust Rigid and Non-rigid Registration for Globally Consistent 3D Scene and Shape Reconstruction”. My main research focus from last three years is on “AI-assisted CAD Modeling and Smart Manufacturing”. My research interest mainly combines – 3D Computer Vision, Deep Learning and Machine Learning Methods for Resource-Constrained and Explainable AI, Intelligent Perception for Autonomous Driving Systems using Vision-Language models, Point Set Registration, Globally Consistent Scene and Shape Reconstruction, NLP + Geometric Deep Learning for Scan-to-CAD Reverse Engineering.

Open Position

I have an open position for a PhD student, options to collaborate on the topics under AI-assisted CAD modeling using Vision-Language/Large-Language models.
If you are interested in doing thesis/internship/HiWi(i.e., student research) job on topics under general framework of (1) Autonomous Driving Systems (2) Vision-Language/Large-Language models, and (3) Embodied+Explainable AI on the Edge, do not hesitate to contact me.

news

Sep 21, 2024	We are releasing codes and dataset related to our paper BRep Boundary and Junction Detection for CAD Reverse Engineering published IEEE ICMI 2024. An entry point for 3D Scans to BRep modeling using large annotations for ABC and CC3D Datasets.
Apr 21, 2024	I am delighted to announce that our highlight paper CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention is accepted at the IEEE/CVF CVPR 2024.
Nov 15, 2023	I am deligted to post that our research group at AV-DFKI showed strong presence (highlighted in the DFKI press rlease) with no less than Two Papers are accepted at the IEEE/CVF ICCV 2023.
Sep 30, 2023	Two papers are accepted at the IEEE/CVF ICCV 2023 - (1) DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport and (2) SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines.
Aug 19, 2023	Our paper DELO: Deep Evidential LiDAR Odometry Using Partial Optimal Transport has been accepted for publication at IEEE CVF International Conference on Computer Vision Workshop ICCV 2023. (paper, project-page, code).

selected publications

Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts

Mohammad Sadil K Khan, Sankalp Sinha, Talha Uddin Sheikh, Didier Stricker, Sk Aziz Ali, and Muhammad Zeshan Afzal

In Neural Information Processing Systems (NeurIPS), 2024

Bib HTML PDF

@inproceedings{Text2CAD_NeurIPS2024,
  title = {Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts},
  author = {Khan, Mohammad Sadil K and Sinha, Sankalp and Sheikh, Talha Uddin and Stricker, Didier and Ali, Sk Aziz and Afzal, Muhammad Zeshan},
  booktitle = {Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  organization = {ArXiV},
}

BRep Boundary and Junction Detection for CAD Reverse Engineering

Sk Aziz Ali, Mohammad Sadil Khan, and Didier Stricker

In IEEE International Conference on Computing and Machine Intelligence (ICMI), 2024

Bib HTML PDF Code

@inproceedings{BRepDetNet_ICMI2024,
  title = {BRep Boundary and Junction Detection for CAD Reverse Engineering},
  author = {Ali, Sk Aziz and Khan, Mohammad Sadil and Stricker, Didier},
  booktitle = {IEEE International Conference on Computing and Machine Intelligence (ICMI)},
  year = {2024},
  organization = {IEEE},
}

CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention

Mohammad Sadil Khan, Elona Dupont, Sk Aziz Ali, Kseniya Cherenkova, Anis Kacem, and Djamila Aouada

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

arXiv Bib HTML PDF Poster

@inproceedings{KhanAliCADSIGNet_CVPR2024,
  title = {CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention},
  author = {Khan, Mohammad Sadil and Dupont, Elona and Ali, Sk Aziz and Cherenkova, Kseniya and Kacem, Anis and Aouada, Djamila},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  organization = {IEEE},
}

SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines

Dimitrios Mallis, Sk Aziz Ali, Elona Dupont, Kseniya Cherenkova, Ahmet Serdar Karadeniz, Mohammed Sadil Khan Anis Kacem, Gleb Gusev, and Djamila Aouada

In In IEEE/CVF International Conference on Computer Vision (ICCV), 2023

arXiv Bib HTML Poster

@inproceedings{AliSHARP_ICCV23,
  title = {SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines},
  author = {Mallis, Dimitrios and Ali, Sk Aziz and Dupont, Elona and Cherenkova, Kseniya and Karadeniz, Ahmet Serdar and Kacem, Mohammed Sadil Khan Anis and Gusev, Gleb and Aouada, Djamila},
  booktitle = {In IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2023},
  organization = {IEEE},
}

Cadops-net: Jointly learning cad operation types and steps from boundary-representations

Elona Dupont, Kseniya Cherenkova, Anis Kacem, Sk Aziz Ali, Ilya Arzhannikov, Gleb Gusev, and Djamila Aouada

In International Conference on 3D Vision (3DV), 2022

arXiv Bib HTML PDF Supp Poster Slides

@inproceedings{dupont2022cadops,
  title = {Cadops-net: Jointly learning cad operation types and steps from boundary-representations},
  author = {Dupont, Elona and Cherenkova, Kseniya and Kacem, Anis and Ali, Sk Aziz and Arzhannikov, Ilya and Gusev, Gleb and Aouada, Djamila},
  booktitle = {International Conference on 3D Vision (3DV)},
  pages = {114--123},
  year = {2022},
  organization = {IEEE},
}