Seung-Hwan Bae [CV] 
Professor/ Ph.D.

Department of Computer Engineering
Inha University 
100 Inha-ro, Michuhol-gu, Incheon, 22212, South Korea


Contact Information
Tel.: +82-32-860-9430 [Office]
    
Research Interest

Computer vision, machine learning, statistical signal processing
  • Multi-object tracking
  • Object detection
  • Image forensic
  • Deep learning
  • Generative adversarial learning
  • Dimensionality reduction
  • Online learning
  • Medical image analysis
  • Bayesian filtering


News
  • [2020.08] Winning the KCCV Sang-Uk Lee Prize (For CVPR 2014 MOT paper)
  • New homepage is launched! (Vision & Learning Lab.)
  • [2020.04] One paper is accepted in IEEE Access (SCIE)
  • [2020.03] One paper is accepted in IEEE Access (SCIE)
  • [2019.04] One paper is accepted in IEEE Access (SCIE)
  • [2018.11] One paper is accepted in AAAI 2019 
  • [2018.10] One paper is accepted in IEEE Access (SCIE)
  • [2018.09] One paper is accepted in IET-RSN (SCI)
  • [2017.03] One paper is accepted in TPAMI (SCI)
  • Winning the 2 place at 

    Large Scale Visual Recognition Challenge 2017 (ILSVRC2017)

    • Our team (DeepView) was ranked in the 2nd place for ILSRVC2017 object detection. [Link] 




Publication

International Journal

Seung-Hwan Bae, Online Multi-Object Tracking with Visual and Radar Features, IEEE Access,  Vol. 8, No. 1, pp. 90324-90339,  May, 2020.  

Jae-Yong Baek, Yong-Sang Yoo, and Seung-Hwan Bae*, Generative Adversarial Ensemble Learning for Face Forensics, IEEE Access, Vol. 8, No. 1, pp. 45421-45431,  March, 2020.

Jae-Yong Baek, Yong-Sang Yoo, and Seung-Hwan Bae*, Adversarial Learning with Knowledge of Image Classification for Improving GANs, IEEE Access, Vol. 7, No. 1, pp. 56591-56605,  March, 2020.

Seung-Hwan Bae, Survey of Amplitude-Aided Multi-Target Tracking Methods, IET Radar, Sonar and Navigation (RSN), Vol. 13, No. 2, pp. 243-253, February, 2019. [PDF]

Seong-Ho Lee , Myung-Yun KIM, and Seung-Hwan Bae*, Learning Discriminative Appearance Models for Online Multi-Object Tracking with Appearance Discriminability Measures, IEEE Access, Vol. 6, No. 1, pp. 67316-67328, December, 2018. [PDF] 

Seung-Hwan Bae and Kuk-Jin Yoon, Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.  40, No. 3, pp. 595-610,  March, 2018. [PDF]


Seung-Hwan Bae, Jong-Youl Park, and Kuk-Jin Yoon, Joint estimation of multi-target signal-to-noise ratio and dynamic states in cluttered environment, IET Radar, Sonar and Navigation (RSN), Vol. 11, No. 3, pp. 539-549, March, 2017. [PDF]

Yeong-Jun Cho, Seung-Hwan Bae, and Kuk-Jin Yoon, Multi-Classier-based Automatic Polyp Detection in Endoscopic Images, Journal of Medical and Biological Engineering (JMBE), Vol. 36, No. 6, pp. 871-882, December, 2016.

Seung-Hwan Bae and Kuk-Jin Yoon, 
Polyp Detection via Imbalanced Learning and Discriminative Feature Learning, 
IEEE Transactions on Medical 
IMAGING (TMI), Vol. 34, No. 11, pp., 2379-2393, November, 2015. [PDF] [Demo]

Seung-Hwan Bae and Kuk-Jin Yoon, Robust Online Multi-Object Tracking 
with Data Association and Track Management, 
IEEE Transactions on Image Processing (TIP), Vol. 23, No. 7, pp. 2820-2833, July, 2014. [PDF] [Demo]

Il Young Song, Ju Hong Yoon, Seung-Hwan Bae, Moon Gu Jeon, and Vladimir 
Shin, Classification of road surface status using a 94 GHz dual-channel polarimetric 
radiometer, 
International Journal of Remote Sensing (IJRS), Vol. 33, No.18, pp. 
5746- 5767, September, 2012.

Seung-Hwan Bae, Du Yong Kim, Ju Hong Yoon, Vladimir Shin, and Kuk-
Jin Yoon, Automated Multi-target Tracking with Kinematic and Non-kinematic 
Information, 
IET Radar, Sonar and Navigation (RSN), Vol. 6, No.4, pp. 272-
281, April, 2012. [PDF]

Ju Hong Yoon, Du Yong Kim, Seung-Hwan Bae, and Vladimir Shin, Joint 
Initialization and tracking of multiple moving objects using Doppler information, 
IEEE Transactions on Signal Processing (TSP), vol. 59. No.7, pp. 3447-3452, March, 2011.

Seung Hwan Bae, Du Yong Kim, Ju Hong Yoon, Vladimir Shin, Maximum probability data association particle filter with amplitude information, International Journal of Systems Control, Vol. 1, No. 3, pp.138-145, May, 2010.

International Conference

Seung-Hwan Bae, Object Detection based on Region Decomposition and Assembly, AAAI Conference on Artificial Intelligence (AAAI), 2019 (Accept rate 16.2%) [PDF]

Seung-Hwan Bae and Kuk-Jin Yoon, Robust Online Multi-Object Tracking 
based on Tracklet Confidence and Online Discriminative Appearance Learning, 
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 
2014. [PDF] [Demo] [Project & Code]

Seung Hwan Bae , Yong Hoon Kim, Seok Jae Lee, Ju-Hong Yoon, Vladimir Shin, Algorithm for unknown SNR estimation based on sequential monte Carlo method in cluttered environment, International Conference on Control, Automation and Systems (ICCAS), Seoul, Korea, October, 2010.

Seung Hwan Bae, Ju Hong Yoon, Il Young Song, Yong Hoon Kim, VladimirShin*, Monitoring of road surface status using a passive millimeter wave sensor,
17th ITS World Congress, Busan, Korea, October, 2010.

Domestic Journal
Seong-Ho Lee, and Seung-Hwan Bae*, Online Multi-Object Tracking by Learning Discriminative Appearance with Fourier Transform and Partial Least Square Analysis, Journal of The Korea Society of Computer and Information (한국컴퓨터정보학회논문), Vol. 25, No. 2, pp. 49-58, February, 2020.

Domestic Conference
Seung-Hwan Bae and Kuk-Jin Yoon, 강인한 온라인 다중 객체 추적을 위한 신뢰도 기반 데이터 연관 및 딥러닝기반 외형 학습, 제30회 영상처리 및 이해에 관한 워크샵, February, 2018.

Seung Hwan Bae, Tae Sun Choi, Vladimir Shin, Probabilistic data association with amplitude information filter based with unknown SNR information in cluttered environment, 
Proc. Information and Communication Field Union Congress, October, 2010.

Ju Hong Yoon, Seung Hwan Bae, and Vladimir Shin, Comparison of distributed receding horizon filtering for linear discrete-time systems with uncertainties, 
Proc.Intern. Conf. on Computer and Automation Engineering, February, 2010.

Seung Hwan Bae, Ju Hong Yoon, Vladimir Shin*, Comparison and analysis of distributed fusion filtering algorithm, Proc. Information and Communication Field Union Congress, pp. 37-43, Gwangju, Korea, November, 2009 (Outstanding Paper Awarded).

Ju Hong Yoon, Seung Hwan Bae, and Vladimir Shin, Comparison of distributed fusion filters for linear dynamic system with uncertainty, 
Proc. 2nd Intern. Conf. on Computer and Network Technology, October, 2009.

Thesis

Ph.D thesis: Confidence-Based Data Association and Discriminative Appearance Learning for Robust Online Multi-Object Tracking

M.S thesis: Linear and Nonlinear Filtering using Kinematic and Non-Kinematic 
Information in Cluttered Environment



Patent

Seung-Hwan Bae, "특징맵에 대한 영역 분할과 병합을 통해 기계학습 기반의 객체 식별을 수행하는 전자 장치 및 그 동작 방법", KR 등록번호, 10-2026139, September, 2019.

Seung-Hwan Bae, "다중 객체 추적을 위한 트랙렛의 특징 벡터 할당이 가능한 전자 장치 및 그 동작 방법", KR 등록번호, 10-1991307-0000, June, 2019.

Sung-Hyun Kim, Kuk-Jin Yoon, Seung-Hwan Bae, Yeong-Jun Cho, Tae-Kyung Kim, Ji-Woon Jung, "POLYP DETECTION APPARATUS AND METHOD OF OPERATING THE SAME", Approved, US, 2014.

배승환, 조영준, 김성현, 김태경, 정지운, 윤국진, “용종 검출 장치 및 그 동작방법”, KR, 출원 번호 10-2013-0130334.



Award

Sang-Uk Lee Prize: 2020 KCCV Award, Aug, 2020. 

    Seung-Hwan Bae and Kuk-Jin Yoon. Robust Multi-Object Tracking with Tracklet Confidence and Online Appearance Learning


Silver Prize: 21st Humantech Paper Award, Feb, 2015. 

    Seung-Hwan Bae. Robust Multi-Object Tracking based on Discriminative Deep Appearance Model Learning


Bronze Prize: 20th Humantech Paper Award, Feb, 2014. 

    Seung-Hwan Bae, Tracklet Confidence and Online Discriminative Appearance Learning for Robust Online Multi-Object Tracking.


Outstanding Paper Award Nov, 2009

    Comparison and analysis of distributed fusion .ltering algorithm, Proc. Information and Communication Field Union Congress