Seokhwa Cheung, Seungbeom Woo, Taehoon Kim, and Wonjun Hwang,
Knowledge Tailoring: Bridging the Teacher-Student Gap in Semantic Segmentation,
Pattern Recognition, Vol. 172, pp. 112399, Apr. 2026
[doi] (IF=7.5/JIF Rank=93.1%/Q1)

Jisu Han, Jaemin Na, and Wonjun Hwang,
Ranked Entropy Minimization for Continual Test-Time Adaptation,
International Conference on Machine Learning (ICML), 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]

Junyong Choi, Hyeon Cho, Seokhwa Cheung, and Wonjun Hwang,
ORC: Network Group-based Knowledge Distillation using Online Role Change,
IEEE/CVF Int'l Conf. on Computer Vision (ICCV), pp. 17381-17390, Paris, France, Oct. 2023
[arXiv][GitHub]

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]

Hyeon Cho, Junyong Choi, Geonwoo Baek and Wonjun Hwang,
itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection,
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 13540-13549, Vancouver, Canada, Jul. 2023
[arXiv][GitHub][YouTube]

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]

Jaemin Na, Dongyoon Han, Hyung Jin Chang and Wonjun Hwang,
Contrastive Vicinal Space for Unsupervised Domain Adaptation,
European Conf. on Computer Vision (ECCV),  pp. 92-110, Tel Aviv, Israel, Oct. 2022
[arXiv][Github]

Kunliang Liu, Ouk Choi, Jianming Wang and Wonjun Hwang,
CDGNet: Class Distribution Guided Network for Human Parsing,
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 4473-4482, New Orleans, US, Jun. 2022
[arXiv][Github][YouTube]

Ouk Choi and Wonjun Hwang,
Colored Point Cloud Registration by Depth Filtering,
Sensors, Vol. 21, No. 21, pp. 7023, Oct. 2021 

Wonchul Son, Jaemin Na, Junyong Choi, and Wonjun Hwang,
Densely Guided Knowledge Distillation using Multiple Teacher Assistants,
IEEE/CVF Int'l Conf. on Computer Vision (ICCV), pp. 9395-9404, Oct. 2021
[arXiv][Github]

Hyeon Cho, Taehoon Kim, Hyung Jin Chang, and Wonjun Hwang,
Self-Supervised Visual Learning by Variable Playback Speeds Prediction of a Video,
IEEE Access, Vol. 9, pp. 79562-79571, May 2021
[arXiv]

Jaemin Na, Heechul Jung, Hyung Jin Chang, and Wonjun Hwang,
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation,
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1094-1103, Jun., 2021
[arXiv][Github][YouTube]

Youngbin Kim, Ouk Choi, and Wonjun Hwang,
Low bit-based Convolutional Neural Network for One-class Object Detection,
Electronics Letters, Vol. 57, No. 6, pp. 255-257, Mar. 2021