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

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.

[PDF]

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.

[PDF]

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.

[PDF]

Intra-inter modal attention blocks for RGB-D semantic segmentation

Soyun Choi, Youjia Zhang and Sungeun Hong, Proc. ACM International Conference on Multimedia Retrieval (ICMR 2023) (Oral), June 2023. 

[PDF] [Project]

TL-ADA: transferable loss-based active domain adaptation

Kyeongtak Han, Youngeun Kim, Dongyoon Han, Hojun Lee, and Sungeun Hong, Neural Networks, February 2023. 

[PDF

IFQA: Interpretable face quality assessment

Byungho Jo, Donghyeon Cho, In Kyu Park, and Sungeun Hong, Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), pp.3444-3453, January 2023.

[PDF] [Project]

Spatio-channel attention blocks for cross-modal crowd counting

Youjia Zhang, Soyun Choi, and Sungeun Hong, Proc. Asian Conference on Computer Vision (ACCV 2022) (Oral), December 2022.

[PDF] [Project]

Adaptive graph adversarial networks for partial domain adaptation

Youngeun Kim and Sungeun Hong, IEEE Trans. on Circuits and Systems for Video Technology, vol. 32, no. 1, pp. 172-182, January 2022.

[PDF

Re-Aging GAN: Toward personalized face age transformation

Farkhod Makhmudkhujaev, Sungeun Hong, and In Kyu Park, Proc. IEEE/CVF International Conference on Computer Vision (ICCV 2021), October 2021.

[PDF]

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.

[PDF

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.

[PDF

Towards privacy-preserving domain adaptation

Youngeun Kim, Donghyeon Cho, and Sungeun Hong, IEEE Signal Processing Letters, vol. 27, pp. 1675-1679, September 2020.

[PDF

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.

[PDF

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.

[PDF]

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.

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, Donghyeon Cho, VisDrone Workshops at International Conference on Computer Vision (ICCVW 2019), Ranked 3rd, October 2019

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

[PDF]  [Demo1] [Demo2]

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

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

June 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, Proc. Asian Conference on Computer Vision (ACCV 2018), December 2018.

[PDF] [Project]

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.

[PDF

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.

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, Proc. ACM International Conference on Multimedia Retrieval (ICMR 2018) (spotlight), June 2018.

[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, Neurocomputing, vol. 273, pp. 611-621, January 2018. 

[PDF]  [Slides]  [Dataset

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. 

[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, IEEE International Conference on Image Processing (ICIP 2017) (Oral), September 2017.

[PDF]  [Slides]  [Dataset] [Lecture]

Sorted consecutive local binary pattern for texture classification

Jongbin Ryu, Sungeun Hong, and Hyun S. Yang, IEEE Trans. on Image Processing, vol. 24, no. 7, pp. 2254-2265, July 2015. 

[PDF]

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. 

[PDF]

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

Sujung Bae, Sungeun Hong, and Hyun S. Yang, Machine Vision and Applications (MVA 2013), IAPR, May 2013.

[PDF]

 Research Projects

Ongoing


Completed

 Academic Activities

  Honors & Awards

Patents