csehong

   Sungeun Hong

    Assistant Professor & Photographer  

    AI & Media (AIM) Lab, Sungkyunkwan University

    Web: www.csehong.com

    Email: csehong@skku.edu

    CV · Google Scholar · LinkedIn · GitHub · PhotoBlog  

    Seeking for new members from graduate students to post-doctoral researchers! 

 Work Experience

 Education

 Research Interests

    · Multimodal Learning   · Vision-Language Models   · Domain Transfer   · Robot Vision   · Efficient Transfer Learning

 

 Publications

Intra-Inter Modal Attention Blocks for RGB-D Semantic Segmentation 

Soyun Choi, Youjia Zhang, and Sungeun Hong

Jun 2023, International Conference on Multimedia Retrieval (ICMR '23 Oral), BK21+ CS Conference

TL-ADA: Transferable Loss-based Active Domain Adaptation

Kyeongtak Han, Youngeun Kim, Dongyoon Han, Hojun Lee, and Sungeun Hong

Apr 2023, Neural Networks (IF: 9.657), Elsevier

IFQA: Interpretable Face Quality Assessment

Byungho Jo, Donghyeon Cho, In Kyu Park, and Sungeun Hong

Jan 2023, Winter Conference on Applications of Computer Vision (WACV '23)

Spatio-channel Attention Blocks for Cross-modal Crowd Counting

Youjia Zhang, Soyun Choi, and Sungeun Hong

Dec 2022, Asian Conference on Computer Vision (ACCV '22 Oral), BK21+ CS Conference

Adaptive Graph Adversarial Networks for Partial Domain Adaptation

Youngeun Kim and Sungeun Hong

Jan 2022, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) (IF: 5.859), IEEE

Re-Aging GAN: Toward Personalized Face Age Transformation

Farkhod Makhmudkhujaev, Sungeun Hong, and In Kyu Park

Oct 2021, International Conference on Computer Vision  (ICCV '21), BK21+ CS Conference 

Domain Adaptation without Source Data

Youngeun Kim, Donghyeon Cho, Kyeongtak Han, Priyadarshini Panda, and Sungeun Hong

Dec 2021, IEEE Transactions on Artificial Intelligence (TAI), IEEE

Self-supervised Feature Enhancement Networks for Small Object Detection in Noisy Images

*Sungeun Hong, *Geonsoo Lee, and Donghyeon Cho (*equal contribution)

May 2021, Signal Processing Letters (SPL) (IF: 3.201), IEEE

Towards Privacy-Preserving Domain Adaptation

Youngeun Kim, Donghyeon Cho, and Sungeun Hong

Sep 2020, Signal Processing Letters (SPL) (IF: 3.201), IEEE


Attention-Guided Adaptation Factors for Unsupervised Facial Domain Adaptation

Sungeun Hong and Jongbin Ryu

May 2020, Electronics Letters (EL) (IF: 1.316), IET

[PDF] 

Unsupervised Face Domain Transfer for Low-Resolution Face Recognition

Sungeun Hong and Jongbin Ryu

Dec 2019, Signal Processing Letters (SPL) (IF: 3.201), IEEE

[PDF]

VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results

Sungeun Hong and VisDrone Challenge Participants

Oct 2019, VisDrone Workshops at International Conference on Computer Vision  (ICCVW '19) 

3rd Prize in Vision Meets Drone: A Challenge at ICCV '19 

[PDF] 

Patch-level Augmentation for Object Detection in Aerial Images 

*Sungeun Hong, *Sungil Kang, and *Donghyeon Cho (*equal contribution)

Oct 2019, VisDrone Workshops at International Conference on Computer Vision  (ICCVW '19)

3rd Prize in Vision Meets Drone: A Challenge at ICCV '19

[PDF]  [Demo1] [Demo2]

Key Instance Selection for Unsupervised Video Object Segmentation 

*Donghyeon Cho, *Sungeun Hong, *Sungil Kang, and Jiwon Kim (*equal contribution)

Jun 2019, DAVIS Challenge Workshops at Computer Vision and Pattern Recognition (CVPRW '19)

3rd Prize in DAVIS Challenge on Video Object Segmentation at CVPR '19

[PDF] [Poster]


Doubly Nested Network for Resource-Efficient Inference

Jaehong Kim, Sungeun Hong, Yongseok Choi, and Jiwon Kim

Jun 2018, arxiv

[PDF]

Scale-Varying Triplet Ranking with Classification Loss for Facial Age Estimation

Woobin Im, Sungeun Hong, Sung-Eui Yoon, and Hyun S. Yang

Dec 2018, Asian Conference on Computer Vision (ACCV '18), BK21+ CS Conference

[PDF] [Project]

Cascaded Pyramid Network for 3D Human Pose Estimation Challenge

Sungeun Hong, Wonjin Jung, Ilsang Woo, and Seung Wook Kim

Sep 2018, PoseTrack Workshops at European Conference on Computer Vision (ECCVW '18)

[PDF] 

Bilinear Attention Networks for VizWiz Challenge

Jin-Hwa Kim, Yongseok Choi, Sungeun Hong,  Jaehyun Jun, and Byoung-Tak Zhang

Sep 2018, Vizwiz Workshops at European Conference on Computer Vision (ECCVW '18)

Ranked 2nd in VizWiz Grand challenge at ECCV '18 

[PDF]  [Slides]  [Poster]

CBVMR: Content-Based Video–Music Retrieval Using Soft Intra-Modal Structure Constraint
Sungeun Hong, Woobin Im, and Hyun S. Yang

Spotlight, Jun 2018, International Conference on Multimedia Retrieval (ICMR '18), BK21+ CS Conference

[PDF] [Poster]  [Demo]

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

Jan 2018, Neurocomputing (IF: 5.779), Elsevier

[PDF]  [Slides]  [Dataset] 

Not all frames are equal: aggregating salient features for dynamic texture classification

Sungeun Hong, Jongbin Ryu, and Hyun S. Yang

Jan 2018, Multidimensional Systems and Signal Processing (IF: 2.030), Springer

[PDF]  [Slides] 

SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per Person

Sungeun Hong, Woobin Im, Jongbin Ryu, and Hyun S. Yang

Sep 2017, Oral, International Conference on Image Processing (ICIP '17), IEEE

[PDF]  [Slides]  [Dataset] [Lecture]

Sorted consecutive local binary pattern for texture classification

Jongbin Ryu, Sungeun Hong, and Hyun S. Yang

Jul 2015, IEEE Transactions on Image Processing (TIP) (IF: 11.041), IEEE

[PDF]

Recursive Bayesian fire recognition using greedy margin-maximizing clustering

Sujung Bae, Sungeun Hong, Yeongjae Choi, and Hyun S. Yang

Nov 2013, Machine Vision and Applications (MVA)  (IF: 2.983), Springer

[PDF]

3D Keypoint Tracking Based on Hybrid Flow Computation for Human Motion Analysis

Sujung Bae, Sungeun Hong, and Hyun S. Yang

May 2013, Machine Vision and Applications (MVA '13), IAPR

[PDF]

 Research Projects

Ongoing


Completed

 Academic Activities

  Honors & Awards

Patents