Publications

Peer-reviewed papers, preprints, and patents — generative models, face and driver perception, and speech coding.

3 papers 3 patents NeurIPS 2022 1 US patent

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Papers
SEMACS: Semantic–Acoustic Speech Coding for Ultra-Low Token Rates

SEMACS: Semantic–Acoustic Speech Coding for Ultra-Low Token Rates

Tu Nguyen, Thoai Bui, Dat Viet Thanh Nguyen, Dat Ngo

Under review, 2026

Joint semantic and acoustic speech coding aimed at ultra-low token rates. Under review.

Driver Attention Tracking and Analysis

Driver Attention Tracking and Analysis

Dat Viet Thanh Nguyen, Anh Tran, Hoai Nam Vu, Cuong Pham, Minh Hoai

arXiv preprint, 2024

Estimating where a driver is actually looking in the road scene, using two ordinary cameras instead of eye-tracking glasses — plus a large in-situ driving dataset with point-of-gaze annotations.

QC-StyleGAN: Quality Controllable Image Generation and Manipulation

QC-StyleGAN: Quality Controllable Image Generation and Manipulation

Dat Viet Thanh Nguyen, Phong Tran The, Tan M. Dinh, Cuong Pham, Anh Tuan Tran

NeurIPS 2022

A StyleGAN variant whose output quality is an explicit, continuous control code — letting you edit real low-quality photos without first “fixing” them, and getting blind image restoration for free.

Patents
  1. Driver Monitor System On Edge Device

    Toan Bui Duc, De Vu, Dat Viet Thanh Nguyen, Tuong Nguyen, Tin Nguyen Truong Trung, Hung Bui

    VinAI2022

  2. Method And System For Training A Machine Learning Model For Face Recognition

    Duc Toan Bui, Van Tuong Nguyen, The De Vu, Viet Thanh Dat Nguyen, Hai Hung Bui

    VinAI2022US Patent

  3. Method And System For Training A Machine Learning Model For Point Of Gaze Prediction

    Dat Viet Thanh Nguyen, Anh Tran, Cuong Pham, Hung Bui

    VinAI2021