Hi, I am Daniel Rho

I am a Ph.D. student at the University of North Carolina, working under the supervision of Professor Roni Sengupta. My research focuses on integrating physics into neural rendering techniques and applying neural rendering to medical applications. Also, I have experience in neural fields, audio signal processing and generation, and self-supervised learning.

Contact Me

Education

2024 - Present

Ph.D. in Computer Science

University of North Carolina at Chapel Hill, US
Advisor: Roni Sengupta
2020 - 2022

Master of Artificial Intelligence

Sungkyunkwan University, Korea
Advisors: Jong Hwan Ko, Eunbyung Park
2014 - 2020

Bachelor of Economics,
Computer Science and Engineering

Sungkyunkwan University, Korea

Work

May 2025 - July 2025

Research Intern

Lenovo Research
Aug 2022 - June 2024

Research Engineer

AI Tech Lab, KT

Publications

NFL‑BA: Improving Endoscopic SLAM with Near‑Field Light Bundle Adjustment
Andrea Dunn Beltran*, Daniel Rho*, Marc Niethammer, Roni Sengupta
NeurIPS, 2025

F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting
Xiangyu Sun, Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Usman Ali, Eunbyung Park
ACM MM, 2024

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

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

Preprints

ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation
Daniel Rho, Jun Myeong Choi, Biswadip Dey, Roni Sengupta
arXiv preprint, 2025

Understanding Contrastive Learning Through the Lens of Margins
Daniel Rho, TaeSoo Kim, Sooill Park, Jaehyun Park, JaeHan Park
arXiv preprint, 2023