Juntae (Jun-Tae) Lee (이준태) 

Research Interest

Research Area: Machine Learning, Large Language Models, Computer Vision, Image Processing

Current Research Topics (in industrial area): 

• Large language models for edge devices

• Vision-language model for edge devices

Previous Research Topics

• Action recognition: few-shot, multi-modality (audio-visual), class-incremental learning 

• Few-shot learning

• Transfer learning 

• Personalized deep networks

• Personalized Image Aesthetics Estimation

• Semantic Line Detection 

• Photographic Composition Classification

Education

• 2013 - 2019 Ph.D. Dept. of Electrical Engineering, Korea University (Advisor: Chang-Su Kim) 

• 2009 - 2013 B.S. Dept. of Electrical Engineering, Korea University 

Conference Publications

1. Juntae Lee, Munawar Hayat, Sungrack Yun, "Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning," accepted at CPVR 2025.

2. Juntae Lee, Jihwan Bang, Seunghan Yang, Kyuhong Shim, Simyung Chang, "Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device," accepted at NA-ACL (short, findings) 2025.

3.  Jihwan Bang*, Juntae Lee*, Kyuhong Shim, Seunghan Yang, Simyung Chang, "Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference" in Proc. ACL (main) 2024. *: equal contribution

4. Jun-Tae Lee, Mihir Jain, Sungrack Yun, "Few-shot common action localization via cross-attentional fusion of context and temporal dynamics," in Proc.  IEEE ICCV 2023.

5. Jun-Tae Lee and Sungrack Yun, "Multi-scale temporal feature fusion for few-shot action recognition," in Proc. IEEE ICIP 2023.

6. Byeonggeun Kim*, Jun-Tae Lee*, Kyuhong Shim, Simyung Chang, "Task-agnostic open-set prototype for few-shot open-set recognition," in Proc. IEEE ICIP 2023. *: equal contribution

7. Byeonggeun Kim, Jun-Tae Lee*, Seunghan Yang, Simyung Chang, "Scalable Weight Reparametrization for Efficient Transfer Learning," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 (Oral session) *:equal contribution 

8. Jangho Kim*, Jun-Tae Lee*, Simyung Chang, "Variational On-the-Fly Personalization," in International Conference on Machine Learning (ICML), 2022 (Spotlight session) *: equal contribution

9. Byeonggeun Kim, Seunghan Yang, Jangho Kim, Hyunsin Park, Juntae Lee, Simyung Chang, "Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification," in Proc. INTERSPEECH, 2022.

10. Jun-Tae Lee, Hyunsin Park, Sungrack Yun, Simyung Chang, "Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Network," in Proc. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022 

11. Jun-Tae Lee, Mihir Jain, Sungrack Yun, "Leaky Gated Cross-Attention for Weakly Supervised Multi-Modal Temporal Action Localization," in Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 

12. Hanul Kim, Mihir Jain, Jun-Tae Lee, Sungrack Yun, Faith Porikli, "Efficient Action Recognition via Dynamic Knowledge Propagation," in Proc.  IEEE International Conference on Computer Vision (ICCV), 2021

13. Jun-Tae Lee, Mihir Jain, Hyoungwoo Park, Sungrack Yun, "Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization," in Proc. 9th International Conference on Learning Representation (ICLR), 2021

14. Dongkwon Jin, Jun-Tae Lee, and Chang-Su Kim, "Semantic line detection using mirror attention and comparative ranking and matching," in Proc. 16th European Conference on Computer Vision (ECCV), 2020

15. Jun-Tae Lee, and Chang-Su Kim, “Image Aesthetic Assessment Based on Pairwise Comparison – A Unified Approach to Score Regression, Binary Classification, and Personalization,” in Proc. IEEE International Conference on Computer Vision (ICCV), 2019

16. Jun-Tae Lee, Han-Ul Kim, Chul Lee, and Chang-Su Kim, “Semantic line detection and its applications,” in Proc. IEEE International Conference on Computer Vision (ICCV), 2017.

17. Keunsoo Ko, Jun-Tae Lee, and Chang-Su Kim, “PAC-Net: Pairwise aesthetic comparison network for image aesthetic assessment,” in Proc. IEEE International Conference on Image Processing (ICIP), Athens, Greece, Oct. 2018.

18. Jun-Tae Lee, Chulwoo Lee, Jae-Young Sim, and Chang-Su Kim, “Depth-guided adaptive contrast enhancement using 2D histograms,” in Proc. IEEE International Conference on Image Processing (ICIP), Paris, France, Oct. 2014.

19. Jun-Tae Lee, Kyung-Rae Kim, Won-Dong Jang, and Chang-Su Kim, “Near-duplicate video clustering using multiple complementary video signatures,” in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Hong-Kong, Dec. 2015.

20. Jun-Tae Lee, Jae-Kyun Ahn, Chang-Su Kim, “Stitching of heterogeneous images using depth information,” in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Kaohsiung, Taiwan, Nov. 2013.

Journal Publications

1. Jun-Tae Lee, Han-Ul Kim, Chul Lee, and Chang-Su Kim, “Photographic composition classification and dominant geometric element detection for outdoor scenes,” Journal of Visual Communication and Image Representation, vol. 55, no. 1, pp. 91–105, Aug. 2018.

2.  Jun-Tae Lee, Chul Lee, and Chang-Su Kim, “Property-Specific Aesthetic Assessment With Unsupervised Aesthetic Property Discovery,” IEEE ACCESS, vol. 7, no. 1, pp. 114349–114362, Aug. 2019.