Dongjun Hwang

[linkedin] [google scholar] [github]

(Updated in 2024.03) Curriculum vitae can download HERE.

About Me

I am currently a Ph.D. Student in the Department of Computer Science and Engineering at Sogang University, supervised by Prof. Junsuk Choe. Prior to this, I obtained my M.S. Degree in the Department of Artificial Intelligence at Sogang University advised by the same supervisor. Previously, I received a B.S. Degree at the same university.

Research Interests: I research how to make open-vocabulary dense prediction models, such as segmentation and object detection, more scalable. My focus is on enabling visual grounding models to perform lifelong learning. In addition, I explore how to scale dense prediction models using imperfect datasets, such as self-supervised, semi-supervised, weakly supervised, and few-shot learning.

My recent primary research question revolves around improving performance in unseen domains through continual learning.

Contact: djhwang(at)sogang(dot)ac(dot)kr

News

• 2024.10: I have released the preprint “Overcoming Domain Limitations in Open-vocabulary Segmentation” on arXiv. Please take a look!
• 2024.09: I have received a grant from the NRF Fellowship for PhD students.
• 2024.08: I have been accepted as a Visiting Student at CMU through a program organized by IITP.
• 2023.03: 1 paper accepted in Pattern Recognition Letters. (IF: 4.757)

Publications

• Overcoming Domain Limitations in Open-vocabulary Segmentation

  Dongjun Hwang, Seong Joon Oh, Junsuk Choe. [Preprint] [Code]

  • arXiv preprint: 2410.11536

• Small Object Matters in Weakly Supervised Object Localization

  Dongjun Hwang, Seong Joon Oh, Junsuk Choe.

  • Submitted to Neurocomputing.

• Curriculum Learning with Class-label Composition for Weakly Supervised Semantic Segmentation

  Dongjun Hwang, Hyoseo Kim, Doyeol Baek, Hyunbin Kim, Inhye Kye, Junsuk Choe.

  • Submitted to Pattern Recognition Letters (Under Revision).

• Entropy Regularization for Weakly Supervised Object Localization

  Dongjun Hwang, Jung-Woo Ha, Hyunjung Shim, Junsuk Choe. [Journal]

  • Pattern Recognition Letters, 2023. (IF: 4.757)

Education

• Ph.D. in Department of Computer Science and Engineering, Sogang University, Mar. 2024 – Present
  • Advisor: Junsuk Choe
• M.S. in Department of Artificial Intelligence, Sogang University, Mar. 2022 – Feb. 2024
  • Advisor: Junsuk Choe
  • Thesis: Curriculum Learning with Class-label Composition for Weakly Supervised Semantic Segmentation
• B.S. in Department of Computer Science and Engineering, Sogang University, Mar. 2018 – Feb. 2022
  
  

Experiences

• Visiting Student at Carnegie Mellon University, IITP AI Intensive Education Program, Aug. 2024 - Feb. 2025
  
  

Awards & Scholarship

• NRF Fellowship for PhD students, NRF Korea, Sep. 2024 - Aug. 2025
• Smilegate AI Major (DHE) Scholarship, Smilegate, Mar. 2022 – Feb. 2024
• 34th Workshop on Image Processing and Image Understanding (IPIU), Bronze Award, Feb. 2022