Abdullah Hamdi

Postdoc Researcher; Computer Vision

VGG lab, University of Oxford


I am a postdoctoral research fellow in machine learning and computer vision at the Visual Geomtry Group of the University of Oxford with Prof. Andrew Zisserman and Prof. Andrea Vidaldi. Prior to that, I earned PhD and MS degrees in Electrical an computer Engineering (Computer Vision) from KAUST, working on 3D understanding with deep neural networks. I was part of the Image and Video Understanding Laboratory (IVUL) in the Visual Computing Center (VCC), advised by Bernard Ghanem. I was a visiting PhD student with Prof Matthias Niessner at TUM in 2022 for 5 months in Munich. I received my my undergraduate degree form KFUPM in Electrical Engineering. My carear goal is to develop robust deep learning tools for 3D understanding and creation and to expand the access of AI to disadvantaged groups in the Arabic region. [video, article, TedX talk]. I am also the founder and president of fihm.ai (biggest Arabic online AI platform).


  • Multi-view for 3D Understanding and Generation
  • Robustness of Deep Learning
  • 3D Deep Learning
  • Simulation for Vision


  • PhD in Electrical and Computer Engineering (GPA 3.7/4), 2023

    King Abdullah University of Science and Technology

  • MSc in Electrical Engineering (GPA 4/4), 2018

    King Abdullah University of Science and Technology

  • BSc in Electrical Engineering (GPA 3.97/4), 2016

    King Fahd University of Petroleum and Minerals


Featured Publications

SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images

Recent advances in Neural Radiance Fields (NeRFs) treat the problem of novel view synthesis as Sparse Radiance Field (SRF) optimization …

Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding

Multi-view projection methods have demonstrated promising performance on 3D understanding tasks like 3D classification and …

MVTN: Multi-View Transformation Network for 3D Shape Recognition

Multi-view projection methods have demonstrated their ability to reach state-of-the-art performance on 3D shape recognition. Those …

Expected Tight Bounds for Robust Training

Training Deep Neural Networks (DNNs) that are robust to norm bounded adversarial attacks remains an elusive problem. While verification …

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds

Deep neural networks are vulnerable to adversarial attacks, in which imperceptible perturbations to their input lead to erroneous …

Towards Analyzing Semantic Robustness of Deep Neural Networks

Despite the impressive performance of Deep Neural Networks (DNNs) on various vision tasks, they still exhibit erroneous high …

SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications

One major factor impeding more widespread adoption of deep neural networks (DNNs) is their lack of robustness, which is essential for …

IAN: Combining Generative Adversarial Networks for Imaginative Face Generation

Generative Adversarial Networks (GANs) have gained momentum for their ability to model image distributions. They learn to emulate the …

Cascading Generative Adversarial Networks for Targeted Imagination

Abundance of labelled data played a crucial role in the recent developments in computer vision, but that faces problems like …

Smart dust-cleaner and cooler for solar PV panels

The smart dust-cleaner and cooler for solar photo-voltaic (PV) panels is a smooth transparent shield with low absorption coefficient …

Learning Rotation for Kernel Correlation Filter

Kernel Correlation Filters have shown a very promising scheme for visual tracking in terms of speed and accuracy on several benchmarks. …


[2023-05-02] Started my postdoc at VGG lab , University of Oxford .
~ The beginning of my postdoc ~
[2023-05-02] Presneted our Voint cloud paper at ICLR 2023 ( picutres )
[2023-04-10] Successsfully defended my PhD dissertation titled Towards Designing Robust Deep Learning Models for 3D Understanding ( picutres ).
[2023-02-19] Gave a talk and presented a poster at KAUST AI Rising Stars Symposium .
[2023-02-14] Gave a talk about Stable Diffusion and Beyond at KAUST.
[2023-01-21] Our Voint Cloud paper accepted as poster at ICLR 2023 conference, Rawanda
[2022-12-16] Our CVPR 2023 workshop proposal `3DMV: Learning 3D with multi-view supervision` was acepted to CVPR 2023
[2022-10-27] I lead a team `Ain Sports` to win the 2'nd place at the Thakaa AI for sposrts competetion , with a total prize of SR 250K
[2022-10-24] We won the 1'st place in Ego4D VQ3D challenge at ECCV2022
[2022-09-28] I represented KAUST at the Saudi-Chinese Youths Audio-visual Communication Workshop
[2022-09-13] I represented KAUST at the 2'nd global AI summit in Riyadh
[2022-08-17] I gave a talk at Stanford Geometric Computing group on `the robustness of 3D understanding methods`.
[2022-08-04] I supervised an intern to our group `Faisal Alzahrani` to win at a poster competetion at KAUST for his work on a TPAMI extension to MVTN.
[2022-07-02] My first child `Jamal` was born
[2022-06-19] Attended CVPR 2022 ,Virtually.
[2022-06-17] Gave a talk at TUM AI group at Munich , Germany about `Pix2Rad: learning to Generate 3D Shapes Radiance Fields from Few Images`
[2022-05-15] I was hosted on Jeddah Radio to talk about AI as a carear and advice for college students.
[2022-02-15] I was awarded the prestegious `Ibn Rushd Postdoc Fellowship Award` by KAUST amoung 12 Saudis from all over the world.
[2022-02-01] I started a research internship with Prof. Matthias Niessner in TUM, Munich.
[2021-11-17] I was awarded `CEMSE Student Research Excellence Award` at KAUST for the 2nd time.
[2021-10-12] Attended ICCV 2021 ,Virtual to present MVTN paper.
[2021-10-06] I was hosted on the mainstream podcast `Thmaniah` to talk about AI bias .
[2021-09-23] I successfully passed the phd proposal exam titled: `Towards Designing Robust Deep Learning Models for 3D Understanding`.
[2021-06-18] Attended CVPR 2021 Virtually.
[2021-06-01] Gave a TedX talk about AI inequality at KAUST.
[2021-05-14] One paper ( MVTN ) accepted as poster at ICCV 2021 conference, Virtual
[2021-03-21] I was hosted on Elm Al-Heal podcast to talk about AI history and application .
[2021-02-14] One paper ( Tight Bounds ) accepted as poster at ICLR 2021 Workshops .
[2020-12-15] Gave a seminar about `3D attacks on deep learning models` to ACM IIT, Hyderabad chapter .
[2020-12-10] Winner of the NEOM AI Challenge , Entertainment track (AI-Sports team).
[2020-11-17] I was awarded `CEMSE Student Research Excellence Award` at KAUST.
[2020-10-27] Gave Introduction to Deep Learning Workshop .
[2020-10-04] Gave a seminar about my recent papers on 3D Adversarial Attacks on `Computer Vision talks` serirs
[2020-10-04] I was hosted on Jeddah Radio to talk about AI and it’s positive and negative implications
[2020-06-09] Gave Introduction to Deep Learning Workshop to +600 attendees in KFUPM innovation club.
[2020-07-24] Attended ECCV 2020 ,Virtual to present AdvPC paper.
[2020-07-23] ( Semantic Robsutness ) paper wins Best Paper Award at Workshop on Adversarial Robustness in the Real World in ECCV 2020
[2020-06-18] Attended CVPR 2020 Virtually.
[2020-04-14] One paper ( AdvPC ) accepted as poster at ECCV 2020 conference, Virtual
[2020-01-25] Accepted for a research internship at Adobe, London with Prof. Niloy Mitra (canceled last minute due to COVID 19)
[2019-12-09] Gave a two hours talk on Neural Rendering in an IVUL's group meeting
[2019-11-07] One paper ( SADA ) accepted for spotlight at AAAI 2020 conference, New York
[2019-06-18] Attended ICCV 2019 in Seoul, South Korea to present at Explainable AI workshop
[2019-06-18] Attended CVPR 2019 at Long Beach, Calfornia
[2019-03-01] Gave a lecture Lecture on GANs , EE354 (Intro to Computer Vision), KAUST
[2018-08-08] Volunteered as an orientation leader to help new KAUST students
[2018-06-10] Started my PhD degree at KAUST with Bernard Ghanem
[2018-04-10] Started fihm.ai to be the Arbic AI hub
[2018-03-25] Awarded KAUST Fellowship with full tuition support for a PhD degree
[2018-02-20] Granted a US Patent on invention: `Smart dust-cleaner and cooler for solar PV panels`
~ The beginning of my PhD program ~
[2018-04-12] Successfully defended my Master’s thesis on GANs for imaginative generation
[2017-11-25] I obtained 107/120 in English TOEFEL IBT test
[2017-05-21] Won the 1st place in Entrepreneurship Super Steam challenge for Saudi universities in KAUST, $ 8,000 prize, startup idea: VR labs.
[2017-01-07] Attended the Winter Enrichment Program WEP 2017 at KAUST
[2016-11-03] Completed the Coursera-Stanford course on Machine Learning
[2016-10-03] Developing visual object tracking and orientation detection vision for UAVs, participating with KAUST team that wins MBZIRC international competition.
[2016-08-21] Started my Master's degree at KAUST and joined IVUL 's research group
[2016-07-10] Awarded KAUST Fellowship with full tuition support for an MS degree
~ The beginning of my master's program ~
[2016-05-24] Graduated from KFUPM with a BSc in Electrical Engineering
[2016-05-04] Leading Best Senior Design Project: `Low cost automatic controlled drones`
[2015-06-14] Started my summer internship at General Electric, Power Generation Services with Hassan Elokdy in Dammam, Saudi Arabia
[2015-07-20] Member in KFUPM president highest advisory student board, and chairman of student activities development committee in the board.
[2015-04-20] Founder and president of KFUPM Innovation Club (+200 members).
[2015-07-20] (+200 members).
[2014-09-07] The 1st place winner in Nassir Bin Hamad international youth creativity award in science for invention in solar dust cleaning. US Patent: US9899957B2 .
[2014-07-21] Started an Exchange program at Texas A&M , College Station, TX. I finished 14 credit hours with perfect GPA (4.0/4.0)
[2014-05-01] Placed 9th inventor in the the fifth Scientific conference for higher education in Riyadh, Saudi Arabia
[2011-09-10] Started my Bachelor's degree at KFUPM aiming to be an academic.
~ The beginning of my Bachelor's program ~
[2011-05-25] Obtained my high school diploma from Alfalah school , Makkah, with a 100% accumlated grade.
[2010-02-01] Won the 1st place in the national Mawhiba Chemistry Olympiad
[2009-07-01] Won the 3rd place in the national Mawhiba Chemistry Olympiad
[2008-07-01] Nominated to represent Saudi Arabia in International Junior Science Olympiad for most qualified students in the world in Changwon, Korea.