Sayed Nadim

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3rd Floor, 24, Namdaemun-ro 9-gil

Jung-gu, Seoul,

Republic of Korea

Hi, I am Sayed Nadim.

I am a computer vision researcher with experience in developing cutting-edge AI-based solutions for autonomous vehicles, leading a mid-size team (12+ developers) 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 team 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.

Thank you for visiting my website.

news

Nov 20, 2023 [Job] I have been assigned as a Group Lead at DeltaX.ai. I will 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.