Hi, I am Daniel Rho

AI/ML Research Engineer

Experience in neural fields, audio signal processing, and self-supervised learning.

Contact Me

Education

Master in Artificial Intelligence

Sungkyunkwan University, Korea

2020 - 2022

Economics,
Computer Science and Engineering

Sungkyunkwan University, Korea

2014 - 2020

Work

Research Engineer

AI Tech Lab, KT

2022 - Present

Publications

Compact 3D Gaussian Representation for Radiance Field
Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park
CVPR, 2024 (highlight)

Coordinate-Aware Modulation for Neural Fields
Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park
ICLR, 2024 (spotlight)

Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields
Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park
NeurIPS, 2023

FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos
Joo Chan Lee, Daniel Rho, Jong Hwan Ko†, Eunbyung Park†
ACM MM, 2023

Masked Wavelet Representation for Compact Neural Radiance Fields
Daniel Rho^*, Byeonghyeon Lee^*, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko^†, Eunbyung Park^†
CVPR, 2023 (ratings: 5/5/4)

Regression to Classification: Waveform Encoding for Neural Field-Based Audio Signal Representation
TaeSoo Kim*, Daniel Rho*, Gahui Lee, JaeHan Park, Jong Hwan Ko
ICASSP, 2023

Neural Residual Flow Fields for Efficient Video Representations
Daniel Rho, Junwoo Cho, Jong Hwan Ko, Eunbyung Park
ACCV, 2022

Streamable neural fields
Junwoo Cho*, Seungtae Nam*, Daniel Rho, Jong Hwan Ko, Eunbyung Park
ECCV, 2022

NAS-VAD: Neural Architecture Search for Voice Activity Detection
Daniel Rho, Jinhyeok Park, and Jong Hwan Ko
Interspeech, 2022