Yumin Suh

Yumin Suh

E-mail: ysuh (at) atmanity.io
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I am an AI Research Scientist at Atmanity. Before joining Atmanity, I was a Senior Researcher at NEC Labs America. Before joining NEC, I worked as a postdoctoral researcher at Seoul National University under the supervision of Bohyung Han and Kyoung Mu Lee. I completed my PhD at Seoul National University in 2019 under the supervision of Kyoung Mu Lee. I have a broad interest in computer vision and machine learning.

Selected Publications (More)

Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation

Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker
ICLR 2025 [arXiv] [Code]

Improving the Efficiency-Accuracy Tradeoff of DETR-Style Models in Practice

Yumin Suh, Dongwan Kim, Abhishek Aich, Samuel Schulter, Jong-Chyi Su, Bohyung Han, Manmohan Chandraker
Efficient Deep Learning for Computer Vision, CVPR Workshop 2024 [paper]

Generating Enhanced Negatives for Training Language-Based Object Detectors

Shiyu Zhao, Long Zhao, Vijay Kumar BG, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter
CVPR 2024 [arXiv]

Taming Self-Training for Open-Vocabulary Object Detection

Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar BG, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas
CVPR 2024 [arXiv]

Efficient Controllable Multi-Task Architectures

Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh
ICCV 2023 [arXiv]

OmniLabel: A Challenging Benchmark for Language-Based Object Detection

Samuel Schulter, Vijay Kumar B G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris Metaxas
ICCV 2023 (Oral) [arXiv][code][project][data]

Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation

Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng
ICML 2023 [arXiv]

Controllable Dynamic Multi-Task Architectures

Dripta Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker
CVPR 2022 (Oral) [arXiv] [Project page]

Learning to Optimize Domain Specific Normalization for Domain Generalization

Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jong-Woo Han, and Bohyung Han
ECCV 2020 [Paper]

Stochastic Class-based Hard Example Mining for Deep Metric Learning

Yumin Suh, Bohyung Han, Wonsik Kim, and Kyoung Mu Lee
CVPR 2019 [Paper]

Part-Aligned Bilinear Representations for Person Re-identification

Yumin Suh, Jingdong Wang, Siyu Tang, Tao Mei and Kyoung Mu Lee
ECCV 2018 [Paper] [Supp] [Code] [Poster]

Work Experience

AI Research Scientist at Atmanity. 2025.1 - present

Senior Researcher at NEC Labs America. 2019.12 - 2025.1

Postdoctoral researcher at Seoul National University, Seoul, Korea. 2019.4 - 2019.11
Advisors: Bohyung Han, Kyoung Mu Lee

Research Intern at Microsoft Research Asia (MSRA), Beijing, China. 2016.9 - 2017.5
Advisors: Tao Mei, Jingdong Wang

Research Intern at WILLOW, Inria, Paris, France. 2014.12 - 2015.6
Advisors: Jean Ponce, Minsu Cho

Academic Services

Area Chair

ACCV 2022, CVPR 2024-2025

Senior Program Committee

IJCAI 2021, AAAI 2022

Program Committee

ACCV 2020, CVPR 2019-2023, ECCV 2020-2022, ICCV 2019-2023, ICPR 2020, MM 2017, WACV 2021
AAAI 2020-2021, ICLR 2021-2024, ICML 2020-2024, IJCAI 2022, NeurIPS 2021-2022

Journal Reviewer

TPAMI, TIP, TMM, CVIU, MMSJ, AOAS, TCSVT