Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
Youjia Zhang, Youngeun Kim, Young-Geun Choi, Hongyeob Kim, Huiling Liu, and Sungeun Hong, Conference on Neural Information Processing Systems (NeurIPS 2025), December 2025
Test-Time Adaptation Domain Shift Backpropagation-Free Gaussian Discriminant Analysis
PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models
Ruiqi Wang, Dezhong Zhao, Ziqin Yuan, Tianyu Shao, Guohua Chen, Dominic Kao, Sungeun Hong, and Byung-Cheol Min, Conference on Neural Information Processing Systems (NeurIPS 2025) Oral🎤, December 2025
Multimodal Learning Robot Manipulation Preference-based Reinforcement Learning Causal Inference
DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding
Jungbin Cho*, Junwan Kim*, Jisoo Kim, Minseo Kim, Mingu Kang, Sungeun Hong, Tae-Hyun Oh, and Youngjae Yu, IEEE/CVF International Conference on Computer Vision (ICCV 2025) Highlight🌟, October 2025
3D Human Human Motion Generation Flow Matching
Question-Aware Gaussian Experts for Audio-Visual Question Answering
Hongyeob Kim*, Inyoung Jung*, Dayoon Suh, Youjia Zhang, Sangmin Lee and Sungeun Hong, Proc. IEEE/CVF Conference on Computer Vision and Patter Recognition (CVPR 2025) Highlight🌟, June 2025.
Multimodal Learning Audio-Vision-Language Question Answering
VisDrone-DET2019: The vision meets drone object detection in image challenge results
Sungeun Hong and VisDrone Challenge Participants, VisDrone Workshops at International Conference on Computer Vision (ICCVW 2019), Ranked at 3rd, October 2019.
Object Detection Drone Small Object
Patch-level augmentation for object detection in aerial images
Sungeun Hong, Sungil Kang, Donghyeon Cho, VisDrone Workshops at International Conference on Computer Vision (ICCVW 2019), Ranked 3rd, October 2019
Object Detection Drone Text-driven Augmentation
Key instance selection for unsupervised video object segmentation
Sungeun Hong, Donghyeon Cho, Sungil Kang, and Jiwon Kim, DAVIS Challenge Workshops at Computer Vision and Pattern Recognition (CVPRW 2019), Ranked 3rd, June 2019
Video Object Segmentation Instance Selection
Scale-varying triplet ranking with classification loss for facial age estimation
Woobin Im, Sungeun Hong , Sung-Eui Yoon, and Hyun S. Yang, Proc. Asian Conference on Computer Vision (ACCV 2018), December 2018.
Face Age Estimation Ranking Loss
Cascaded pyramid network for 3D human pose estimation challenge
Sungeun Hong , Wonjin Jung, Ilsang Woo, and Seung Wook Kim, PoseTrack Workshops at European Conference on Computer Vision (ECCVW 2018), September 2018.
Human Pose Estimation Pyramid Network 3D Pose
Bilinear attention networks for VizWiz challenge
Jin-Hwa Kim, Yongseok Choi, Sungeun Hong, Jaehyun Jun, and Byoung-Tak Zhang, Vizwiz Workshops at European Conference on Computer Vision (ECCVW 2018), Ranked 2nd, September 2018.
Visual Question Answering Attention Visually Impaired
CBVMR: Content-based video–music retrieval using soft intra-modal structure constraint
Sungeun Hong , Woobin Im, and Hyun S. Yang, Proc. ACM International Conference on Multimedia Retrieval (ICMR 2018) (spotlight), June 2018.
Multimodal Learning Cross-modal Retrieval Video Object Segmentation Music
SSPP-DAN: Deep domain adaptation network for face recognition with single sample per person
Sungeun Hong, Woobin Im, Jongbin Ryu, and Hyun S. Yang, IEEE International Conference on Image Processing (ICIP 2017) (Oral), September 2017.
Domain Adaptation Face Recognition
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