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Achievement: Pull SharkAchievement: StarstruckAchievement: Arctic Code Vault Contributor

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SayedNadim/README.md

Hi there 👋

I am a computer vision researcher with experience in developing cutting-edge AI-based solutions for autonomous vehicles, leading several teams and concurrently working as an AI researcher. I have experience in designing traditional/deep learning methods for 2D & 3D image processing techniques, utilizing supervised/semi-supervised/unsupervised learning, working with different sensors (RGB pinhole/wideangle/Fisheye cameras, Monochrome cameras, NIR/LWIR cameras, Neuromorphic sensors, LiDAR, IMU, etc.), and deep generative models.

I am currently working as a Group Lead and AI researcher in DeltaX.ai. Prior to that, I was working as a vision researcher in CVIP Lab, Gachon University, Republic of Korea.

Professional Experience

  • Group Lead | Nov 2023 - Present | Automotive Perception Group, AI Lab, DeltaX.ai, Rep. of Korea.

    • Leading several teams working on building ADAS solutions and SCMS-DMS-OMS solutions.

  • Team Lead and AI Researcher | Oct 2022 - Nov 2023 | X-Camera ADAS Team, AI Lab, DeltaX.ai, Rep. of Korea.

    • Led a team of developers working on large-scale, complex, and cutting-edge systems.
    • Prepared industrial proposals for projects and PoCs.
    • Managed the delivery of multiple, complex, simultaneous development projects from design through to release.
    • Led cutting-edge R&D projects which eventually progressed to industrial projects/PoCs.
    • Monitored the performance of the team and reported on performance metrics.
    • Conducted job-related administrative works.

  • Vision Researcher | Mar 2019 - Sep 2022 | Computer Vision and Image Processing (CVIP) Lab, Gachon University, Rep. of Korea.

    • Worked with deep learning-based generative image synthesis tasks such as image inpainting, image colorization etc., and stereo depth estimation using bio-inspired vision systems.
    • Participated in various industrial projects regarding depth estimation, face detection etc.
    • Provided lectures on the concepts of computer vision/ deep learning and hands-on training on Python and PyTorch.
    • Conducted job-related administrative works.

  • Analyst, Business Development | Jul 2018 - Jan 2019 | Apex DMIT Ltd. (former 'Kazi IT Center'), Dhaka, Bangladesh.

    • Participated in analysing and managing overseas assets.
    • Managed several assets and freelance contractors through direct/indirect supervisions.
    • Performed several administrative duties such as participating/supervising asset bidding, compiling reports, attending/organizing seminars etc.

  • Teaching Assistant | Feb 2018 - Jun 2018 | Dept. of EEE, University of Liberal Arts, Bangladesh.

    • Provided lectures on course-specific concepts and hands-on training on circuits and embedded systems.
    • Allocated tasks, projects and performed grading.
    • Conducted job-related administrative works.



Here are some queries about me....

  • 🔭 I’m currently working on color filter arrays and event cameras.
  • 💬 I usually work with PyTorch. I have experiences with TensorFlow (1.x), Keras and MATLAB.
  • 📫 How to reach me: smnadimuddin at gmail dot com

News

  • Nov 20, 2023 - [Job] I have been assigned as a Group Lead at DeltaX.ai. I will be overseeing the Automotive Perception Group and mainly be working with several teams to build ADAS, DMS, OMS and SCMS solutions.
  • Apr 14, 2023 - [Conference] Our team has successfully participated in CVPR’23 2nd Monocular Depth Estimation Challenge.
  • Oct 25, 2022 - [Job] I have joined DeltaX.ai as a Team Lead and AI Researcher.
  • Sep 4, 2022 - [Journal] Our paper “Multi-Scale Attention-Guided Non-Local Network for HDR Image Reconstruction” has been published in the Sensors (Q1, Impact Factor - 3.847) Journal.
  • Aug 1, 2022 - [Conference] Our team has successfully participated in ECCV’22 AIM Challenge on Reversed ISP (Track 1).
  • Jun 26, 2022 - [Journal] Our paper “Unsupervised Deep Event Stereo for Depth Estimation” has been accepted in the IEEE Transactions on Circuits and Systems for Video Technology- (Q1, Impact Factor - 5.859).
  • May 10, 2022 - [Journal] Our paper “SIFNet: Free-form image inpainting using color split-inpaint-fuse approach” has been published in the Computer Vision and Image Understanding Journal (Volume 221, August 2022, 103446) - (Q1, Impact Factor - 4.886).
  • Feb 3, 2021 - [Conference] Our paper “Deep Event Stereo Leveraged by Event to Image Translation” is published in AAAI Conference on Artificial Intelligence (AAAI-21).
  • Jul 21, 2020 - [Conference] Our team has successfully participated in ECCV AIM Challenge on Image Extreme Inpainting.
  • Jun 4, 2020 - [Journal] Our paper “Global and local attention-based free-form image inpainting” has been published in the Sensors (Q1, Impact Factor - 3.847) Journal.

Pinned Loading

  1. Global-and-Local-Attention-Based-Free-Form-Image-Inpainting Global-and-Local-Attention-Based-Free-Form-Image-Inpainting Public

    Official implementation of "Global and local attention-based free-form image inpainting"

    Python 57 8

  2. Inpainting-Evaluation-Metrics Inpainting-Evaluation-Metrics Public

    The goal of this repo is to provide a common evaluation script for image inpainting tasks. It contains some commonly used image quality metrics for inpainting (e.g., L1, L2, SSIM, PSNR and LPIPS).

    Python 9 3

  3. Image-Quality-Evaluation-Metrics Image-Quality-Evaluation-Metrics Public

    Implementation of Common Image Evaluation Metrics by Sayed Nadim (sayednadim.github.io). The repo is built based on full reference image quality metrics such as L1, L2, PSNR, SSIM, LPIPS. and featu…

    Python 22 6