Latest Publication
2024
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), Abu Dhabi, UAE, Oct. 2024, Accepted
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]
2023
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, New Orleans, US, 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]
2022
2021
Ouk Choi and Wonjun Hwang,
Colored Point Cloud Registration by Depth Filtering,
Sensors, Vol. 21, No. 21, pp. 7023, Oct. 2021
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]
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