Purdue SMART Lab Team

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Soyun Choi

Education:
  Sungkyunkwan University, 2024 - present (Immersive Media Engineering)
Ph.D. student
M.S. Inha University, Incheon, South Korea, 2024 (Electrical and Computer Engineering)
B.S. Andong National University, Andong-si, Gyeongsangbuk-do, South Korea, 2020 (Information and Communication Engineering)

 
Research Interests:
  • Semantic/Instance Segmentation
  • Multimodal Learning
  • Prompt Learning
  • Amodal Segmentation

Conference Publications:
  • Soyun Choi, Youjia Zhang, and Sungeun Hong "Intra-Inter Modal Attention Blocks for RGB-D Semantic Segmentation," 2023 ACM International Conference on Multimedia Retrieval (ICMR), pp.217-225, June 2023.
  • Youjia Zhang, Soyun Choi, and Sungeun Hong, "Spatio-channel Attention Blocks for Cross-modal Crowd Counting," 2022 Asian Conference on Computer Vision (ACCV), pp.90-107, December 2022.

Patents:
  • Youjia Zhang, Soyun Choi and Sungeun Hong, "Spatio-channel Attention Blocks for Cross-modal Crowd Counting," Patent No. C-2022-055027, November 2022. (Korean Patent)

Contact: