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About me

I got my BSc, and MSc in the field of Computer Science from VNU University of Engineering and Technology, in 2013 and 2016, respectively. From 2013 to 2019, I worked as research assistant at FIMO Lab, and as PhD candidate at JTIRC.

Since 12/2019, I moved to IT industry and worked as data scientist holding various positions from senior title to tech lead. For more information about my journey, please visit my Linkedin.

As of 01/2021, I become COO at FIMO JSC focus on spatial data & AI technology.

📫 Reach me at [email protected]

viethungluu's Projects

cmc icon cmc

[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

dinet icon dinet

The source code of "DINet: deformation inpainting network for realistic face visually dubbing on high resolution video."

dinet_optimized icon dinet_optimized

An optimized pipeline for DINet reducing inference latency for up to 60% 🚀. Kudos for the authors of the original repo for this amazing work.

ffmpeg-python icon ffmpeg-python

Python bindings for FFmpeg - with complex filtering support

ocretina icon ocretina

End-to-end one-stage CNNs for text detection and recognition based on RetinaNet

orcnn icon orcnn

Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation

sharingan icon sharingan

Official repo for the work titled "SharinGAN: Combining Synthetic and Real Data for Unsupervised GeometryEstimation"

stargan-v2 icon stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

stn.keras icon stn.keras

Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.

ternausnetv2 icon ternausnetv2

TernausNetV2: Fully Convolutional Network for Instance Segmentation

ugatit-pytorch icon ugatit-pytorch

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

yolo_series_deepsort_pytorch icon yolo_series_deepsort_pytorch

Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).

yolov7-deepsort-human-tracking icon yolov7-deepsort-human-tracking

A human detector and tracker, written in python, using YOLOv7 for detection and DeepSORT for tracking the detections from YOLO.

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