Hyun-Bin Oh

About Me

I am a Ph.D. candidate at POSTECH, advised by Prof. Tae-Hyun Oh. I am also a research scientist intern at Sony AI.

My research lies at the intersection of computer vision and machine learning, with a focus on multimodal signals that evolve over time, such as video and audio. I am especially interested in audio-visual understanding and generation.

News

• 2026.06 One paper has been accepted to INTERSPEECH 2026.
• 2026.02 One paper has been accepted to CVPR 2026 as an Oral presentation.
• 2025.07 Started a research scientist internship at Sony AI, Tokyo.
• 2025.02 One paper has been accepted to CVPR 2025 as a Highlight.
• 2025.01 One paper has been accepted to ICLR 2025.
• 2024.07 One paper has been accepted to ECCV 2024.
• 2024.06 Two papers have been accepted to INTERSPEECH 2024.
• 2024.04 One paper has been accepted to RA-L 2024 and presented at IROS 2024 as an oral presentation.

* denotes equal contribution. † denotes co-corresponding authors.

Physics-Aware Deepfake Detection via Distance–Speech Consistency

Kyeongrae Kim, Kim Sung-Bin, Oh Hyun-Bin, Tae-Hyun Oh

INTERSPEECH 2026

We detect dynamic talking-head deepfakes by checking whether speech energy is physically consistent with speaker-to-camera distance, complementing lip-sync cues in in-the-wild videos.

Spatio-Temporal Audio Language Modeling for Dynamic Sound Sources

Oh Hyun-Bin, Kazuki Shimada, Yuhta Takida, Kim Sung-Bin, Toshimitsu Uesaka, Takashi Shibuya, Kyeongyoon Lee, Tae-Hyun Oh†, Yuki Mitsufuji†

Preprint

We enable audio-language models to reason about what is sounding, where it is, and how it moves over time from spatial audio.

PAVAS: Physics-Aware Video-to-Audio Synthesis

Oh Hyun-Bin, Yuhta Takida, Toshimitsu Uesaka, Tae-Hyun Oh, Yuki Mitsufuji

CVPR 2026 Oral presentation

Paper Project Page

We generate physically plausible audio from a video by explicitly integrating physics estimation into a latent diffusion-based model.

Perceptually Accurate 3D Talking Head Generation: New Definitions, Speech-Mesh Representation, and Evaluation Metrics

Lee Chae-Yeon*, Oh Hyun-Bin*, Han EunGi, Kim Sung-Bin, Suekyeong Nam, Tae-Hyun Oh

CVPR 2025 Highlight

Paper Project Page

We introduce new definitions, a speech-mesh representation space, and evaluation metrics for perceptually accurate 3D talking face generation.

AVHBench: A Cross-Modal Hallucination Evaluation for Audio-Visual Large Language Models

Kim Sung-Bin*, Oh Hyun-Bin*, JungMok Lee, Arda Senocak, Joon Son Chung, Tae-Hyun Oh

ICLR 2025

Paper Project Page

We introduce a benchmark for evaluating the perception and comprehension capabilities of audio-visual large language models.

Learning-based Axial Video Motion Magnification

Kwon Byung-Ki, Oh Hyun-Bin, Kim Jun-Seong, Hyunwoo Ha, Tae-Hyun Oh

ECCV 2024

Paper Project Page

We magnify invisible small motions in user-specified directions.

Enhancing Speech-Driven 3D Facial Animation with Audio-Visual Guidance from Lip Reading Expert

Han EunGi*, Oh Hyun-Bin*, Kim Sung-Bin, Corentin Nivelet Etcheberry, Suekyeong Nam, JangHoon Ju, Tae-Hyun Oh

INTERSPEECH 2024

Paper Project Page

We generate speech-synchronized lip movements in 3D facial animation with an audio-visual lip reading expert.

MultiTalk: Enhancing 3D Talking Head Generation Across Languages with Multilingual Video Dataset

Kim Sung-Bin*, Lee Chae-Yeon*, Gihun Son*, Oh Hyun-Bin, JangHoon Ju, Suekyeong Nam, Tae-Hyun Oh

INTERSPEECH 2024

Paper Project Page

We generate accurate 3D talking heads from multilingual speech.

Uni-DVPS: Unified Model for Depth-Aware Video Panoptic Segmentation

Kim Ji-Yeon, Oh Hyun-Bin, Kwon Byung-Ki, Dahun Kim, Yongjin Kwon, Tae-Hyun Oh

RA-L 2024 IROS Oral

Paper Project Page

We present a unified multi-task model for depth-aware video panoptic segmentation.

Revisiting Learning-based Video Motion Magnification for Real-time Processing

Hyunwoo Ha*, Oh Hyun-Bin*, Kim Jun-Seong, Kwon Byung-Ki, Kim Sung-Bin, Linh-Tam Tran, Ji-Yun Kim, Sung-Ho Bae, Tae-Hyun Oh

Preprint

Paper

We magnify invisible small motions in real time.

Experience

Research Scientist Intern

Sony AI

Jul 2025 - Present

• Hosts (Deep Generative Modeling Team): Yuhta Takida, Toshimitsu Uesaka, and Yuki Mitsufuji
• Hosts (Cinematic Technology Team): Kazuki Shimada, Takashi Shibuya, and Yuki Mitsufuji

Education

• 2022.03 - Present Integrated Ph.D. in Electrical Engineering, POSTECH, Pohang, South Korea
• 2017.03 - 2021.08
  B.S. in Physics and B.E. in Electrical Engineering, Chung-Ang University, Seoul, South Korea

  Summa Cum Laude

Honors and Awards

• 2025 Best Paper Award, IPIU
• 2024 Best Paper Award, KRoC
• 2023 Best Paper Award, IPIU
• 2021 Summa Cum Laude, Chung-Ang University
• 2021 Department Honors Scholarship (ranked 1st in the department), Chung-Ang University
• 2018 Science Scholarship, Suwon Municipal Scholarship Foundation
• 2017 Department Honors Scholarship (ranked 1st in the department), Chung-Ang University

Academic Services

• Reviewer ACCV, CVPR, NeurIPS, SIGGRAPH Asia, IJCV, Pattern Recognition

Teaching Experiences

• 2023 NAVER Boostcamp AI Tech Computer Vision Track (5th, 6th)
• 2022 Introduction to Machine Learning (EECE454), POSTECH