Dr. Sk Aziz Ali

Assistant Professor | Computer Science and Information Systems @ BITS Pilani, India
Email: skaziz.ali@hyderabad.bits-pilani.ac.in
Phone: +91 40-6630-3968 (Extension - 968)
Address: BITS Pilani, CSIS Department, Block-H, Office H115, Secunderabad, Telangana 500078

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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

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).
Aug 19, 2023 I am co-organizing the The 4th edition of the SHARP Workshop and challenge in conjunction with ICCV 2023. The registrations for this workshop are open. Join the challenge here! with the oppotunity to win a prize money of🔸 8k€ sponsored by Artec 3D 🏆

selected publications

  1. CAD-SIGNet_Teaser.png
    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
  2. DELO_TEASER.gif
    DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
    Sk Aziz Ali, Djamila Aouada, Gerd Reis, and Didier Stricker
    In In IEEE CVF International Conference on Computer Vision (ICCV), 2023
  3. SHARP23ICCV_TEASER.png
    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
  4. HandVoxNet_TEASER.svg
    HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map
    Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, and Didier Stricker
    In In IEEE/CVF Computer Vision and Pattern Recognition (CVPR), Jun 2020
  5. GA_MAIN.gif
    Gravitational Approach for Point Set Registration
    Vladislav Golyanik, Sk Aziz Ali, and Didier Stricker
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2016
  6. NRGA_TEASER.gif
    Nrga: Gravitational approach for non-rigid point set registration
    Sk Aziz Ali, Vladislav Golyanik, and Didier Stricker
    In 2018 International Conference on 3D Vision (3DV), Jun 2018
  7. TSCOMNet_TEASER.png
    TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network
    Ahmet Serdar Karadeniz, Sk Aziz Ali, Anis Kacem, Elona Dupont, and Djamila Aouada
    In Computer Vision – ECCV 2022 Workshops, Jun 2022
  8. CADOpsNet.png
    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), Jun 2022
  9. RPSRNet_TEASER.png
    RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2^D-Tree Representation
    Sk Aziz Ali, Kerem Kahraman, Gerd Reis, and Didier Stricker
    In IEEE/CVF Computer Vision and Pattern Recognition (CVPR), Jun 2021