nadim@vision: ~   shell: zshSeoul, South Korea  //  00:00:00_
sayed_nadim@vision: ~/portfolio · zsh
cam0 · live feed
S M Nadim Uddin
person · 0.982
face · 0.961
REC ●track_id 07
DEPTH1.37m
iou 0.91lat 14msDETECT: ON
~ stats --summarypublications=13+q1_journals=4challenge_top10=6experience=6yr# pytorch · c++ · depth · 3d · restoration
➜ ~ cat 01_capabilities.txt

What I work on

I'm a computer vision researcher from Bangladesh, based in South Korea. My work spans traditional and deep-learning methods for 2D and 3D image processing, generative modeling and multi-sensor fusion. These days I focus on driver monitoring and in-cabin perception for production automotive systems.

[CLASS_01]

Depth & 3D Perception

Monocular, stereo and event based depth, 3D reconstruction and sensor fusion across RGB, IR, LiDAR, RADAR and IMU.

[CLASS_02]

Generative & Low-level Vision

Image inpainting, HDR reconstruction, super resolution and reversed ISP restoration with attention and generative models.

[CLASS_03]

In-cabin & Driver Monitoring

DMS and OMS pipelines: gaze, 3D body keypoints, seat pose and child presence detection for vehicle safety.

[CLASS_04]

ADAS Perception

Pedestrian and obstacle detection, distance and trajectory estimation, real time perception on edge devices.

➜ ~ ls -l research/selected

Selected research

The Second Monocular Depth Estimation Challenge (MDEC)
CVPR-W 2023
CVPR Workshops · 7th / 101 teams · J. Spencer, C. S. Qian, … S M Nadim Uddin, …
Unsupervised Deep Event Stereo for Depth Estimation
TCSVT 2022
IEEE Trans. on Circuits and Systems for Video Technology · Q1 · S M Nadim Uddin, S. H. Ahmed, Y. J. Jung
SIFNet: Free-form Image Inpainting using Color Split-Inpaint-Fuse Approach
CVIU 2022
Computer Vision and Image Understanding · Q1 · S M Nadim Uddin, Y. J. Jung
Deep Event Stereo Leveraged by Event-to-Image Translation
AAAI 2021
AAAI Conference on Artificial Intelligence · S. H. Ahmed, H. W. Jang, S M Nadim Uddin, Y. J. Jung
Global and Local Attention-Based Free-Form Image Inpainting
Sensors 2020
Sensors · Q1 · S M Nadim Uddin, Y. J. Jung
➜ ~ git log --experience

Where I've worked

2024 → Now
Senior AI/ML Researcher
Deep In Sight · Seoul, South Korea
R&D, AI Lab. Driver monitoring (DMS) and in-cabin perception: object detection, semantic and instance segmentation, monocular depth estimation, model compression and pipeline integration.
2022 → 2024
AI Researcher → Project Lead → Group Lead
DeltaX.ai · Seoul, South Korea
Automotive Perception Group, AI Lab. DMS and OMS, depth estimation, 3D body keypoints, 3D reconstruction, sensor fusion (RGB, IR, LiDAR, IMU, RADAR), detection and segmentation, path planning, trajectory estimation, model compression and pipeline integration.
2019 → 2022
Vision Researcher
CVIP Lab, Gachon University · South Korea
Computer Vision and Image Processing Lab. Depth estimation, 3D reconstruction and generative vision modeling (GANs).
➜ ~ ls projects/featured

Things I've built

Monocular Depth Estimation

2024-2026
SL / Mobase / Mobis & Deep In Sight

Monocular depth estimation for in-cabin monitoring units.

depthin-cabinedge

Level-4 ADAS Perception

2023-2027
KADIF & DeltaX

Pedestrian detection, distance estimation and predictive trajectory estimation for a Level-4 PoC ADAS system.

detectiontrajectoryADAS

Real-time Eye Distance Estimation

2023
Hyundai Mopic & DeltaX

Real-time eye distance estimation from a glasses-free 3D light-field display.

real-time3D

Workers' Detection & Tracking

2022-2023
Korea Railway Research Institute & DeltaX

Detection, distance estimation, localization and tracking of workers using a long-wave infrared camera.

LWIRtracking

Deep Stereo Matching & Motion Deblurring

2021-2022
SK hynix & CVIP Lab

Deep stereo matching and motion deblurring algorithms using a stereo event camera.

eventstereo3D

Real-time Pupil Tracking

2019-2020
ETRI & CVIP Lab

High-speed machine-learning detection engine for real-time pupil tracking of a holographic display.

trackingreal-time
➜ ~ ./contact.sh

Let's build something that sees.

Open to research collaborations and hard perception problems. The fastest way to reach me is email.

Say hello →