Publication
International Journal
Scale-aware Token-matching for Transformer-based Object Detector
Aecheon Jung, Sungeun Hong, and Yoonsuk Hyun, Pattern Recognition Letters, vol. 185, pp. 197-202, September 2024.
Transformer Object Detection Small Object
G-TRACE: Grouped Temporal Recalibration for Video Object Segmentation
Jiyun Kim, Jooho Kim, and Sungeun Hong, Image and Vision Computing (Q1), May 2024.
Video Object Segmentation Attention Memory Network
Elastic Modulus Prediction from Indentation Using Machine Learning: Considering Tip Geometric Imperfection
Jong-hyoung Kim, Dong-Yeob Kim, Junsang Lee, Soon Woo Kwon, Jongheon Kim, Seung-Kyun Kang, Sungeun Hong, and Young-Cheon Kim, Metals and Materials International (Q1), March 2024.
Indentation Elastic Modules
Visual and tactile perception techniques for braille recognition
Byeong-Sun Park, Seong-Min Im, Hojun Lee, Young Tack Lee, Changjoo Nam, Sungeun Hong, and Min-gu Kim, Micro and Nano Systems Letters, vol. 11, no. 1, pp. 1-8, December 2023.
Multimodal Learning Sensor Fusion Tactile Touch Braille Recognition
Re-Aging GAN++: Temporally consistent transformation of faces in videos
Farkhod Makhmudkhujaev, Sungeun Hong, and In Kyu Park, IEEE Access, vol. 11, pp. 137377-137386, December 2023.
Face Age Transformation Video Processing
SegTex: A large scale synthetic face dataset for face recognition
Laudwika Ambardi, Sungeun Hong, and In Kyu Park, IEEE Access, vol. 11, pp. 131939-131949, November 2023.
Face Synthetic Data Segmentation
TL-ADA: transferable loss-based active domain adaptation
Kyeongtak Han, Youngeun Kim, Dongyoon Han, Hojun Lee, and Sungeun Hong, Neural Networks (Q1), February 2023.
Active Domain Adaptation Active Learning Learning Loss
Adaptive graph adversarial networks for partial domain adaptation
Youngeun Kim and Sungeun Hong, IEEE Trans. on Circuits and Systems for Video Technology (Q1), vol. 32, no. 1, pp. 172-182, January 2022.
Domain Adaptation Graph Neural Networks
Domain adaptation without source data
Youngeun Kim, Donghyeon Cho, Kyeongtak Han, Priyadarshini Panda, and Sungeun Hong, IEEE Trans. on Artificial Intelligence (TAI), vol. 2, no. 6, pp. 508-518, December 2021.
Domain Adaptation Privacy Source-Free
Self-supervised feature enhancement networks for small object detection in noisy images
Geonsoo Lee, Sungeun Hong (co-first author), and Donghyeon Cho, IEEE Signal Processing Letters, vol. 28, pp. 1026-1030, May 2021.
Object Detection Small Object Self-Supervised Learning
Towards privacy-preserving domain adaptation
Youngeun Kim, Donghyeon Cho, and Sungeun Hong, IEEE Signal Processing Letters, vol. 27, pp. 1675-1679, September 2020.
Domain Adaptation Privacy
Attention-guided adaptation factors for unsupervised facial domain adaptation
Sungeun Hong and Jongbin Ryu, Electronics Letters, vol. 56, no. 16, pp. 816-818, August 2020.
Domain Adaptation Attention
Unsupervised face domain transfer for low-resolution face recognition
Sungeun Hong and Jongbin Ryu, IEEE Signal Processing Letters, vol. 27, pp. 156-160, December 2019.
Face Domain Adaptation Low-Resolution
D3: Recognizing dynamic scenes with deep dual descriptor based on key frames and key segments
Sungeun Hong, Jongbin Ryu, Woobin Im, and Hyun S. Yang, Neurocomputing (Q1), vol. 273, pp. 611-621, January 2018.
Dynamic Scene Dynamic Texture Key Frame
Not all frames are equal: aggregating salient features for dynamic texture classification
Sungeun Hong, Jongbin Ryu, and Hyun S. Yang, Multidimensional Systems and Signal Processing, vol. 29, pp. 279-298, January 2018.
Dynamic Texture Feature Aggregation
Sorted consecutive local binary pattern for texture classification
Jongbin Ryu, Sungeun Hong, and Hyun S. Yang, IEEE Trans. on Image Processing (Q1), vol. 24, no. 7, pp. 2254-2265, July 2015.
Texture Classification LBP Rotation Invariant
Recursive Bayesian fire recognition using greedy margin-maximizing clustering
Sujung Bae, Sungeun Hong, Yeongjae Choi, and Hyun S. Yang, Machine Vision and Applications, vol. 24, pp. 1605-1621, November 2013.
Fire Recognition Beyesian Clustering
AI & Media Lab (AIM Lab)
Office : 90313, International Hall, Sungkyunkwan University,
25-2 Sungkyunkwan-ro, Jongno-gu, Seoul 03063, Korea
Email : csehong@skku.edu Web : aim.skku.edu Tel : 02-740-1809