Jisu Han, Joong-Won Hwang, Hyunsouk Cho, and Wonjun Hwang,
Collaborative Adaptation without Forgetting in Source-free Domain Adaptation,
Pattern Recognition, Vol. 180, Part E, pp. 114551, Dec. 2026
[doi] (IF=9.1/JIF Rank=93.4%/Q1)
Seokhwa Cheung, Seungbeom Woo, Taehoon Kim, and Wonjun Hwang,
Knowledge Tailoring: Bridging the Teacher-Student Gap in Semantic Segmentation,
Pattern Recognition, Vol. 172, Part A, pp. 112399, Apr. 2026
[doi] (IF=9.1/JIF Rank=93.4%/Q1)
Jisu Han, Jaemin Na, and Wonjun Hwang,
Ranked Entropy Minimization for Continual Test-Time Adaptation,
International Conference on Machine Learning (ICML), PMLR 267:21798-21813, July 2025
[arXiv][Github][ProjectPage]
Junmin Lee and Wonjun Hwang,
Sensor Fusion-based Autoencoder Feature Distillation for 3D Object Detection,
Electronics Letters, Vol. 61, No 1, pp. e70295, May 2025
[doi]
Jaemin Na, Heechul Jung, Hyung Jin Chang, and Wonjun Hwang,
Bridging Domain Spaces for Unsupervised Domain Adaptation,
Pattern Recognition, Vol. 164, pp. 111537, Aug. 2025
[doi] (IF=7.5/JIF Rank=93.1%/Q1)
Jisu Han, Jaemin Na*, and Wonjun Hwang*,
Semantic Prompting with Image Token for Continual Learning,
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 6987-6997, Arizona, US, Feb. 2025
[CVF]
Kunliang Liu, Rize Jin, Yuelong Li, Jianming Wang, and Wonjun Hwang,
Channel and Spatial Enhancement Network for Human Parsing,
Image and Vision Computing (IVC), Vol. 152, pp. 105332, Dec. 2024
[doi] (IF=4.2/Q1)
Taehoon Kim, Jaemin Na, Joong-won Hwang, Hyung Jin Chang, and Wonjun Hwang,
Dual Prototype-driven Objectness Decoupling for Cross-Domain Object Detection in Urban Scene,
17th Asian Conference on Computer Vision (ACCV), pp. 1148-1165, Hanoi, Vietnam, Dec. 2024
[CVF]
Jisu Han, Jaemin Na, and Wonjun Hwang,
SRIL: Selective Regularization for Class-Incremental Learning,
17th Asian Conference on Computer Vision (ACCV), pp. 1532-1548, Hanoi, Vietnam, Dec. 2024
[CVF]
Taehoon Kim, Jaemin Na, Joong-Won Hwang, and Wonjun Hwang,
Stay Focus on Object: Cross-Domain Detection using Domain-Invariant Object Representation,
IEEE International Conference on Image Processing (ICIP), pp. 2487-2493, Abu Dhabi, UAE, Oct. 2024
Dinh Phat Do, Taehoon Kim, Jaemin Na, Jiwon Kim, Keonho Lee, Kyunghwan Cho, and Wonjun Hwang,
D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection,
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 23313-23322, Seattle, WA, US, Jun. 2024
[arXiv][Github][YouTube]
Jaemin Na, Jung-woo Ha, Hyung Jin Chang, Dongyoon Han*, and Wonjun Hwang*,
Switching Temporary Teachers for Semi-supervised Semantic Segmentation,
Advances in Neural Information Processing Systems (NeurIPS), Vol. 36, pp. 40367-40380, Dec. 2023
[arXiv][ProjectPage]
Yuqi Lang, Kunliang Liu, Jianming Wang and Wonjun Hwang,
Class Relationship-based Knowledge Distillation for Efficient Human Parsing,
Electronics Letters, Vol. 59, No 15, Aug. 2023
[doi]
Joonhwan Han, Seungbeom Woo, Joong-won Hwang and Wonjun Hwang,
Weighted Alignment-based Multi-Source Domain Adaptation for Object Detection,
Electronics Letters, Vol. 59, No 2, Jan. 2023
[doi]