Youngjo Min

I am a Ph.D. student in Computer Science at Duke University, advised by Professor David Carlson. I am also working closely with Professor Carlo Tomasi. 

My research focuses on 3D computer vision and its applications. I am currently researching the 3D human/animal reconstruction while also exploring the relationship between brain signal data and reconstructed 3D behaviors. I am also deeply interested in multimodal learning tasks that integrate 3D vision with diverse data modalities, such as text and audio. 

Graduate Research Assistant 

9/2023 - 05/2027 (expected)    Duke University           

• Developing methods to reconstruct 3D shape and pose of humans and animals using 3D Gaussian Splatting. 

• Exploring relations between brain signals and 3D animal behavior.

Researcher

9/2022 - 8/2023    Seoul National University

• Developed unsupervised open-set domain adaptation model using a vision-language model

Undergraduate Researcher

8/2020 - 8/2022    Korea University

• Developed a semi-supervised classifcation framework using a learnable confidence estimator and a confidence-aware consistency regularization.

• Created an implicit neural representation-based style transfer model that can handle a variety of flexible image translation tasks.

• Developed a framework for 3D human recovery from a single image by combining meta-learning with test-time optimization.

• Devised a semantic matching model that jointly optimizes feature extraction and cost aggregation modules

Air Force Sergeant

2/2017 - 2/2019    Republic of Korea Air Force 

• Participated in multiple Korea–U.S. joint military exercises and operations conducted with U.S. Forces Korea and the U.S. 7th Air Force.

Computer Science Ph.D.

9/2023 - 05/2027 (expected)   Duke University

Computer Science B.S.

(Double major: Business)

3/2016 - 8/2022     Korea University