Scholar
Juntae Lee
Google Scholar ID: wzigGywAAAAJ
Qualcomm AI Research
Citations & Impact
Citations
514
H-index
11
i10-index
11
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple conference papers, including accepted works at NeurIPS 2025 workshop, EMNLP 2025, CPVR 2025, NA-ACL 2025, ACL 2024, IEEE ICCV 2023, IEEE ICIP 2023, ICASSP 2023 (Oral session), ICML 2022 (Spotlight session).
Research Experience
- Worked as a Staff Engineer in Visual S/W R&D Group at Samsung Electronics Mobile, Korea from Sep. 2019 to Apr. 2020.
Education
- Received B.S. in Electrical Engineering from Korea University in Feb. 2013 and Ph.D. in Electrical Engineering from Korea University in Aug. 2019, under the supervision of Chang-Su Kim.
Background
- Currently working as a Staff Researcher at Qualcomm AI Research, focusing on computer vision and machine learning, especially audio-visual fusion, few-shot learning, personalization, efficient transfer learning, and class-incremental learning. Currently, he is researching large language models (LLM) and vision foundation models (VFM) for on-device.
Miscellany
- Contact: Email - jtlee@mcl.korea.ac.kr; Tel - +82-10-2066-5104
Co-authors