Miran Heo

Research Experience

• Meta, New York, NY                                                                                                                                                                       Sep 2025 - present

  • Research Scientist 

• NVIDIA Research, Taiwan (remote)                                                                                                                                           Jul 2024 - May 2025

  • Research Scientist Intern 

• Adobe Research, San Jose, CA                                                                                                                                                  May 2023 - Sep 2023

  • Research Scientist Intern 

• Adobe Research, San Jose, CA (remote)                                                                                                                                  Mar 2021 - Dec 2021

  • Research Scientist Intern 

 Publications

Autoregressive Universal Video Segmentation Model

Miran Heo*, Sukjun Hwang*, Min-Hung Chen, Yu-Chiang Frank Wang, Albert Gu, Seon Joo Kim, Ryo Hachiuma

preprint 2025

paper

Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks

Miran Heo, Min-Hung Chen, De-An Huang, Sifei Liu, Subhashree Radhakrishnan, Seon Joo Kim, Yu-Chiang Frank Wang, Ryo Hachiuma

CVPR 2025

paper / project page

Robust and Consistent Online Video Instance Segmentation via Instance Mask propagation

Miran Heo, Seoung Wug Oh, Seon Joo Kim, Joon-Young Lee

AAAI 2025

paper

VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement

Hanjung Kim, Jaehyun Kang, Miran Heo, Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim

ECCV 2024

paper / code  

A Generalized Framework for Video Instance Segmentation

Miran Heo, Sukjun Hwang, Jeongseok Hyun, Hanjung Kim, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim

CVPR 2023

paper / code  

VITA: Video Instance Segmentation via Object Token Association

Miran Heo*, Sukjun Hwang*, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim 

NeurIPS 2022

Ranked #3 in LSVOS Challenge at CVPR 2022

paper / code 

Integrating Pose and Mask Predictions for Multi-person in Videos

Miran Heo, Sukjun Hwang, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim

CVPR Efficient Deep Learning for Computer Vision Workshop 2022

paper / project page

Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos

Sukjun Hwang, Miran Heo, Seoung Wug Oh, Seon Joo Kim

CVPR 2022

paper / code

Video Instance Segmentation using Inter-frame Communication Transformers

Sukjun Hwang, Miran Heo, Seoung Wug Oh, Seon Joo Kim

NeurIPS 2021

paper / code

Polygonal Point Set Tracking

Gunhee Nam, Miran Heo, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim

CVPR 2021

paper / code

Awards & Honors

• Best PhD Dissertation Award, College of Computing, Yonsei University, Jul 2025

• Yonsei Young Researcher Fellowship (Top 2 students in CS department), Jan 2024

• Google Student Travel Grants (CVPR 2023)

• The 3rd Place in Track 2 of the 4th Large-scale Video Object Segmentation Challenge (CVPR 2022)

Reviewer Service

• Conference: CVPR (2021 ~) / ICCV (2021 ~) / ECCV (2022 ~) / WACV (2023 ~) / NeurIPS (2023 ~)

• Journal: IJCV, TPAMI

US Patent

• Generating Segmentation Masks for Objects in Digital Videos using Pose Tracking Data