Vision & Learning Laboratory

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Patents

Bridging the Knowledge Gap via Transformer-based Multi-Layer Correlation Learning

Hun-Beom Bak and Seung-Hwan Bae*

IEEE Access, Vol. 11, pp. 53533-53548, April, 2024

DOI: 10.1109/ACCESS.2024.3387859

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Deformable Part Region Learning and Feature Aggregation Tree Representation for Object Detection

Seung-Hwan Bae

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, pp. 10817-10834, September, 2023

DOI: 10.1109/TPAMI.2023.3268864

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Decode-MOT: How Can We Hurdle Frames to Go Beyond Tracking-by-Detection?

Seong-Ho Lee, Dae-Hyeon Park, and Seung-Hwan Bae*
[Project & Code]

IEEE Transactions on Image Processing (TIP), Vol. 32, pp. 4378-4392, August, 2023

DOI: 10.1109/TIP.2023.3298538

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AFI-GAN: Improving Feature Interpolation of Feature Pyramid Networks via Adversarial Training for Object Detection

Seong-Ho Lee, and Seung-Hwan Bae*
[Project & Code]

Pattern Recognition (PR), Vol. 138, pp. 1-14, June, 2023

DOI: 10.1016/j.patcog.2023.109365

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Effective Multi-Object Tracking via Global Object Models and Object Constraint Learning

Yong-Sang Yoo, Seong-Ho Lee, and Seung-Hwan Bae*

Sensors, Vol. 22, pp. 1-28, October, 2022

DOI: 10.3390/s22207943

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GA3N: Generative Adversarial AutoAugment Network

Vanchinbal Chinbat, and Seung-Hwan Bae*

Pattern Recognition (PR), Vol. 127, pp. 1-11, July, 2022

DOI: 10.1016/j.patcog.2022.108637

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Online Multi-Object Tracking with Visual and Radar Features

Seung-Hwan Bae

IEEE Access, Vol. 8, pp. 90324-90339, May, 2020

DOI: 10.1109/ACCESS.2020.2994000

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Generative Adversarial Ensemble Learning for Face Forensics

Jae-Yong Baek, Yong-Sang Yoo, and Seung-Hwan Bae*

IEEE Access, Vol. 8, pp. 45421-45431, March, 2020

DOI: 10.1109/ACCESS.2020.2968612

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Adversarial Learning with Knowledge of Image Classification for Improving GANs

Jae-Yong Baek, Yong-Sang Yoo, and Seung-Hwan Bae*

IEEE Access, Vol. 7, No. 1, pp. 56591-56605, April, 2019

DOI: 10.1109/ACCESS.2019.2913697

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Survey of Amplitude-Aided Multi-Target Tracking Methods

Seung-Hwan Bae

IET Radar, Sonar and Navigation (RSN), Vol. 13, No. 2, pp. 243-253, February, 2019

DOI: 10.1049/iet-rsn.2018.5064

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Learning Discriminative Appearance Models for Online Multi-Object Tracking with Appearance Discriminability Measures

Seong-Ho Lee, Myung-Yun Kim, and Seung-Hwan Bae*

IEEE Access, Vol. 6, No. 1, pp. 67316-67328, December, 2018

DOI: 10.1109/ACCESS.2018.2879535

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Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking

Seung-Hwan Bae and Kuk-Jin Yoon

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 40, No. 3, pp. 595-610, March, 2018

DOI: 10.1109/TPAMI.2017.2691769

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Joint estimation of multi-target signal-to-noise ratio and dynamic states in cluttered environment

Seung-Hwan Bae, Jong-Youl Park, and Kuk-Jin Yoon

IET Radar, Sonar and Navigation (RSN), Vol. 11, No. 3, pp. 539-549, April, 2017

DOI: 10.1049/iet-rsn.2016.0416

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Multi-Classifier-based Automatic Polyp Detection in Endoscopic Images

Yeong-Jun Cho, Seung-Hwan Bae, and Kuk-Jin Yoon

Journal of Medical and Biological Engineering (JMBE), Vol. 36, No. 6, pp. 871-882, November, 2016

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Polyp Detection via Imbalanced Learning and Discriminative Feature Learning

Seung-Hwan Bae and Kuk-Jin Yoon

IEEE Transactions on Medical IMAGING (TMI), Vol. 34, No. 11, pp. 2379-2393, November, 2015 [Demo]

DOI: 10.1109/TMI.2015.2434398

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Robust Online Multi-Object Tracking with Data Association and Track Management

Seung-Hwan Bae and Kuk-Jin Yoon

IEEE Transactions on Image Processing (TIP), Vol. 23, No. 7, pp. 2820-2833, July, 2014 [Demo]

DOI: 10.1109/TIP.2014.2320821

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Classification of road surface status using a 94 GHz dual-channel polarimetric radiometer

Il Young Song, Ju Hong Yoon, Seung-Hwan Bae, Moon Gu Jeon, and Vladimir Shin

International Journal of Remote Sensing (IJRS), Vol. 33, No. 18, pp. 5746-5767, September, 2012

Automated Multi-target Tracking with Kinematic and Non-kinematic Information

Seung-Hwan Bae, Du Yong Kim, Ju Hong Yoon, Vladimir Shin, and Kuk-Jin Yoon

IET Radar, Sonar and Navigation (RSN), Vol. 6, No. 4, pp. 272-281, April, 2012

DOI: 10.1049/iet-rsn.2011.0154

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Joint Initialization and Tracking of Multiple Moving Objects Using Doppler Information

Ju Hong Yoon, Du Yong Kim, Seung-Hwan Bae, and Vladimir Shin

IEEE Transactions on Signal Processing (TSP), Vol. 59, No. 7, pp. 3447-3452, March, 2011

DOI: 10.1109/TSP.2011.2132720

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Maximum probability data association particle filter with amplitude information

Seung Hwan Bae, Du Yong Kim, Ju Hong Yoon and Vladimir Shin

International Journal of Systems Control, Vol. 1, No. 3, pp. 138-145, May, 2010

A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection

Jae-Yong Baek, Yong-Sang Yoo, Seung-Hwan Bae*

38th NeurIPS (Neural Information Processing Systems), December, 2024

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RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks

Donghwa Kang, Seunghoon Lee, Hoon Sung Chwa, Seung-Hwan Bae, Chang Mook Kang, Jinkyu Lee and Hyeongboo Baek

43rd IEEE Real-Time Systems Symposium, December, 2022

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Deformable Part Region Learning for Object Detection

Seung-Hwan Bae

AAAI Conference on Artificial Intelligence (AAAI), (Accept rate 15%), pp. 95-103, June, 2022

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Object Detection based on Region Decomposition and Assembly

Seung-Hwan Bae

AAAI Conference on Artificial Intelligence (AAAI), (Accept rate 16.2%), pp. 8094-8101, July, 2019

Download PDF

Rank of Experts: Detection Network Ensemble

Seung-Hwan Bae, Youngwan Lee, Youngjoo Jo, Yuseok Bae, and Joong-won Hwang

Computing Research Repository (CoRR), pp. 1-10, December, 2017

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Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning

Seung-Hwan Bae and Kuk-Jin Yoon
[Demo] [Project & Code]

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-8, June, 2014

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Algorithm for unknown SNR estimation based on sequential monte Carlo method in cluttered environment

Seung Hwan Bae, Yong Hoon Kim, Seok Jae Lee, Ju-Hong Yoon, Vladimir Shin

International Conference on Control, Automation and Systems (ICCAS), pp. 1004-1009, Seoul, Korea, October, 2010

Monitoring of road surface status using a passive millimeter wave sensor

Seung Hwan Bae, Ju Hong Yoon, Il Young Song, Yong Hoon Kim, Vladimir Shin*

17th ITS World Congress, Busan, Korea, October, 2010

ASTR: Efficient Multi-Modal Tracking with Asymmetric Transformer

Jeong-Hun Ha, Dae-Hyeon Park, and Seung-Hwan Bae*

제 37회 영상처리 및 이해에 관한 워크샵 pp. 1-6, Feburary, 2025

쌍방향 지식 전이를 통한 데이터 프리 양자화

Deok-Woong Kim, Chan-Seop Park, Jae-Yong Baek, and Seung-Hwan Bae*

제 37회 영상처리 및 이해에 관한 워크샵 pp. 1-6, Feburary, 2025

Neural-NGBoost: Enhancing Natural Gradient Boosting with Deep Learning Base Learners

Jamshidjon Ganiev, Deok-Woong Kim, and Seung-Hwan Bae*

제 37회 영상처리 및 이해에 관한 워크샵 pp. 1-6, Feburary, 2025

이미지 디헤이징을 위한 대조 학습 기술 개선

Ho-Hyun Yu, Du-Hwan Hur, and Seung-Hwan Bae*

제 37회 영상처리 및 이해에 관한 워크샵 pp. 1-6, Feburary, 2025

단안 카메라 기반의 3D 객체 검출을 위한 샘플 인식 지식 증류

Mina Baek, Se-Gwon Cheon, Hyuk-Jin Shin, and Seung-Hwan Bae*

제 37회 영상처리 및 이해에 관한 워크샵 pp. 1-5, Feburary, 2025

3D Object Detection via Multi-Scale Feature Knowledge Distillation

Se-Gwon Cheon, Hyuk-Jin Shin, Seung-Hwan Bae*

한국컴퓨터정보학회논문지 pp. 35-45, October, 2024

군용 도메인 영상에 대한 서버와 온-보드 간의 객체 검출 성능 분석

Du-Hwan Hur, Dae-Hyeon Park, Deok-Woong Kim, Jae-Yong Baek, Jun-Hyeong Bak and Seung-Hwan Bae*

한국컴퓨터정보학회논문지 pp. 157-164, August, 2024

생성 모델을 이용한 데이터 프리 양자화를 위한 Bit-width Aware Generator와 채널 어텐션 기반 중간 레이어 지식 증류

Jae-Yong Baek, Dae-Hyeon Park, Yong-Sang Yoo, Du-Hwan Hur, Deok-Woong Kim, Hyuk-Jin Shin and Seung-Hwan Bae*

한국컴퓨터정보학회논문지 pp. 11-20, July, 2024

딥러닝 기반 유도무기 표적 검출에 적합한 지역적/전역적 적외선 이미지 전처리 기법에 관한 연구

Jae-Yong Baek, Dae-Hyeon Park, Yong-Sang Yoo, Du-Hwan Hur, Deok-Woong Kim, Hyuk-Jin Shin and Seung-Hwan Bae*

한국컴퓨터정보학회논문지 pp. 41 - 51, July, 2024

Multi-Source Light Detection with Semi-supervised Learning and Lightness Focal Loss

Yong-Sang Yoo, Jae-Yong Baek, and Seung-Hwan Bae*

제 36회 영상처리 및 이해에 관한 워크샵 pp. 1-6, Feburary, 2024

PM-ZSQ: Precision-Aware Generator and Multi-Layer Distillation for Zero-Shot Quantization

Deok-Woong Kim, Hun-Beom Bak, and Seung-Hwan Bae*

제 36회 영상처리 및 이해에 관한 워크샵 pp. 1-6, Feburary, 2024

Tracking and Scene Contextual Similarity Learning for Accelerating MOT

Dae-Hyeon Park, Seong-Ho Lee, and Seung-Hwan Bae*

제 36회 영상처리 및 이해에 관한 워크샵 pp. 1-7, Feburary, 2024

Knowledge Distillation based-on Internal/External Correlation Learning

Hun-Beom Bak, and Seung-Hwan Bae*

한국컴퓨터정보학회논문지 Vol. 28, No. 4, pp. 31-39, April, 2023

Internal/External 상관성 활용 가능한 이종 레이어간 지식 증류

Hun-Beom Bak, Dae-Hyeon Park, and Seung-Hwan Bae*

제 35회 영상처리 및 이해에 관한 워크샵, pp. 1-4, February, 2023

Data-Free Knowledge Distillation via Hard Sample Generation

Se-Gwon Cheon, Yong-Sang Yoo, and Seung-Hwan Bae*

제 35회 영상처리 및 이해에 관한 워크샵, pp. 1-4, February, 2023

A Self-Supervised Detector Scheduler for Efficient Tracking-by-Detection Mechanism

Dae-Hyeon Park, Seong-Ho Lee, Seung-Hwan Bae*

한국컴퓨터정보학회논문지, Vol. 27, No. 10, pp. 19-28, October, 2022

객체 검출을 위한 적대적 학습 기반 Feature Pyramid Network 특징맵 보간 성능 향상 기법

Seong-Ho Lee, and Seung-Hwan Bae*

제34회 영상처리 및 이해에 관한 워크샵, pp. 1-6, Feburary, 2022

효율적인 다중 객체 추적을 위한 다중 전역 모델 및 제한적 모델 업데이트 알고리즘

Yong-Sang Yoo, Seong-Ho Lee, Dea-Hyeon Park and Seung-Hwan Bae*

2021 한국소프트웨어종합학술대회, pp. 536-538, December, 2021

자동화된 데이터 증강을 위한 적대적 생성 신경망

Vanchinbal Chinbat, Hun-Beom Bak, Jibum Kim and Seung-Hwan Bae*

2021 한국소프트웨어종합학술대회, pp. 539-541 , December, 2021

적대적 앙상블 학습을 통한 합성 얼굴 이미지 판별

Yong-Sang Yoo and Seung-Hwan Bae*

제33회 영상처리 및 이해에 관한 워크샵, pp. 1-6, February, 2021

외형 분별력 평가를 통한 온라인 다중 객체 추적에서의 외형 모델 학습

Dae-Hyeon Park, Seong-Ho Lee, and Seung-Hwan Bae*

제33회 영상처리 및 이해에 관한 워크샵, pp. 1-6, February, 2021

Online Multi-Object Tracking by Learning Discriminative Appearance with Fourier Transform and Partial Least Square Analysis

Seong-Ho Lee, Seung-Hwan Bae*

한국컴퓨터정보학회논문지, Vol. 25, No. 2, pp. 49-58, February, 2020

강인한 온라인 다중 객체 추적을 위한 신뢰도 기반 데이터 연관 및 딥러닝기반 외형 학습

Seung-Hwan Bae and Kuk-Jin Yoon

제30회 영상처리 및 이해에 관한 워크샵, Vol. 30, pp. N2-0002, February, 2018

Probabilistic data association with amplitude information filter based with unknown SNR information in cluttered environment

Seung Hwan Bae, Tae Sun Choi, Vladimir Shin

Proc. Information and Communication Field Union Congress, October, 2010

Comparison of distributed receding horizon filtering for linear discrete-time systems with uncertainties

Ju Hong Yoon, Seung Hwan Bae, and Vladimir Shin

Proc.Intern. Conf. on Computer and Automation Engineering, pp. 117-122, February, 2010

Comparison and analysis of distributed fusion filtering algorithm

Seung Hwan Bae, Ju Hong Yoon, Vladimir Shin*

Proc. Information and Communication Field Union Congress, pp. 37-43, Gwangju, Korea, November, 2009 (Outstanding Paper Awarded)

Comparison of distributed fusion filters for linear dynamic system with uncertainty

Ju Hong Yoon, Seung Hwan Bae, and Vladimir Shin

Proc. 2nd Intern. Conf. on Computer and Network Technology, pp. 367-371, October, 2009

변형 가능한 부분 모델에 기반한 대규모 객체 검출 및 학습 방법 및 장치

발명자: Seung-Hwan Bae

등록일: January, 2025 KR 등록번호: 10-2750905

적대적 초해상도 다중 스케일 특징맵 학습 및 객체 검출기

발명자: Seung-Hwan Bae, Seong-Ho Lee

등록일: October, 2023 KR 등록번호: 10-2589986

영상 및 레이더 특징 학습 기반 온라인 다중 객체 추적 방법 및 장치

발명자: Seung-Hwan Bae

등록일: October, 2023 KR 등록번호: 10-2589987

영상에서의 객체 추적을 위한 트랙렛의 특징 벡터 할당을 수행하는 전자 장치 및 그 동작 방법

발명자: Seung-Hwan Bae

등록일: November, 2020 KR 등록번호: 10-2176179

특징맵에 대한 영역 분할과 병합을 통해 기계학습 기반의 객체 식별을 수행하는 전자 장치 및 그 동작 방법

발명자: Seung-Hwan Bae

등록일: September, 2019 KR 등록번호: 10-2026139

다중 객체 추적을 위한 트랙렛의 특징 벡터 할당이 가능한 전자 장치 및 그 동작 방법

발명자: Seung-Hwan Bae

등록일: June, 2019 KR 등록번호: 10-1991307

Bridging the Knowledge Gap via Transformer-based Multi-Layer Correlation Learning

Hun-Beom Bak and Seung-Hwan Bae*

IEEE Access, Vol. 11, pp. 53533-53548, April, 2024

Deformable Part Region Learning and Feature Aggregation Tree Representation for Object Detection

Seung-Hwan Bae

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 45, pp. 10817-10834, September, 2023

Decode-MOT: How Can We Hurdle Frames to Go Beyond Tracking-by-Detection?

Seong-Ho Lee, Dae-Hyeon Park, and Seung-Hwan Bae*[Project & Code]

IEEE Transactions on Image Processing (TIP), Vol. 32, pp. 4378-4392, August, 2023

AFI-GAN: Improving Feature Interpolation of Feature Pyramid Networks via Adversarial Training for Object Detection

Seong-Ho Lee, and Seung-Hwan Bae* [Project & Code]

Pattern Recognition (PR), Vol. 138, pp. 1-14, June, 2023

Effective Multi-Object Tracking via Global Object Models and Object Constraint Learning

Yong-Sang Yoo, Seong-Ho Lee, and Seung-Hwan Bae*

Sensors, Vol. 22, pp. 1-28, October, 2022

GA3N: Generative Adversarial AutoAugment Network

Vanchinbal Chinbat, and Seung-Hwan Bae*

Pattern Recognition (PR), Vol. 127, pp. 1-11, July, 2022

Online Multi-Object Tracking with Visual and Radar Features

Seung-Hwan Bae

IEEE Access, Vol. 8, pp. 90324-90339, May, 2020

Generative Adversarial Ensemble Learning for Face Forensics

Jae-Yong Baek, Yong-Sang Yoo, and Seung-Hwan Bae*

IEEE Access, Vol. 8, pp. 45421-45431, March, 2020

Adversarial Learning with Knowledge of Image Classification for Improving GANs

Jae-Yong Baek, Yong-Sang Yoo, and Seung-Hwan Bae*

IEEE Access, Vol. 7, No. 1, pp. 56591-56605, April, 2019

Survey of Amplitude-Aided Multi-Target Tracking Methods

Seung-Hwan Bae

IET Radar, Sonar and Navigation (RSN), Vol. 13, No. 2, pp. 243-253, February, 2019

Learning Discriminative Appearance Models for Online Multi-Object Tracking with Appearance Discriminability Measures

Seong-Ho Lee, Myung-Yun Kim, and Seung-Hwan Bae*

IEEE Access, Vol. 6, No. 1, pp. 67316-67328, December, 2018

Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking

Seung-Hwan Bae and Kuk-Jin Yoon

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 40, No. 3, pp. 595-610, March, 2018

Joint estimation of multi-target signal-to-noise ratio and dynamic states in cluttered environment

Seung-Hwan Bae, Jong-Youl Park, and Kuk-Jin Yoon

IET Radar, Sonar and Navigation (RSN), Vol. 11, No. 3, pp. 539-549, April, 2017

Multi-Classifier-based Automatic Polyp Detection in Endoscopic Images

Yeong-Jun Cho, Seung-Hwan Bae, and Kuk-Jin Yoon

Journal of Medical and Biological Engineering (JMBE), Vol. 36, No. 6, pp. 871-882, November, 2016

Polyp Detection via Imbalanced Learning and Discriminative Feature Learning

Seung-Hwan Bae and Kuk-Jin Yoon

IEEE Transactions on Medical IMAGING (TMI), Vol. 34, No. 11, pp. 2379-2393, November, 2015 [Demo]

Robust Online Multi-Object Tracking with Data Association and Track Management

Seung-Hwan Bae and Kuk-Jin Yoon

IEEE Transactions on Image Processing (TIP), Vol. 23, No. 7, pp. 2820-2833, July, 2014 [Demo]

Classification of road surface status using a 94 GHz dual-channel polarimetric radiometer

Il Young Song, Ju Hong Yoon, Seung-Hwan Bae, Moon Gu Jeon, and Vladimir Shin

International Journal of Remote Sensing (IJRS), Vol. 33, No. 18, pp. 5746-5767, September, 2012

Automated Multi-target Tracking with Kinematic and Non-kinematic Information

Seung-Hwan Bae, Du Yong Kim, Ju Hong Yoon, Vladimir Shin, and Kuk-Jin Yoon

IET Radar, Sonar and Navigation (RSN), Vol. 6, No. 4, pp. 272-281, April, 2012

Joint Initialization and Tracking of Multiple Moving Objects Using Doppler Information

Ju Hong Yoon, Du Yong Kim, Seung-Hwan Bae, and Vladimir Shin

IEEE Transactions on Signal Processing (TSP), Vol. 59, No. 7, pp. 3447-3452, March, 2011

Maximum probability data association particle filter with amplitude information

Seung Hwan Bae, Du Yong Kim, Ju Hong Yoon and Vladimir Shin

International Journal of Systems Control, Vol. 1, No. 3, pp. 138-145, May, 2010

A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection

Jae-Yong Baek, Yong-Sang Yoo, Seung-Hwan Bae*

38th NeurIPS (Neural Information Processing Systems), December, 2024

RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks

Donghwa Kang, Seunghoon Lee, Hoon Sung Chwa, Seung-Hwan Bae, Chang Mook Kang, Jinkyu Lee and Hyeongboo Baek

43rd IEEE Real-Time Systems Symposium, December, 2022

Deformable Part Region Learning for Object Detection

Seung-Hwan Bae

AAAI Conference on Artificial Intelligence (AAAI), (Accept rate 15%), pp. 95-103, June, 2022

Object Detection based on Region Decomposition and Assembly

Seung-Hwan Bae

AAAI Conference on Artificial Intelligence (AAAI), (Accept rate 16.2%), pp. 8094-8101, July, 2019

Rank of Experts: Detection Network Ensemble

Seung-Hwan Bae, Youngwan Lee, Youngjoo Jo, Yuseok Bae, and Joong-won Hwang

Computing Research Repository (CoRR), pp. 1-10, December, 2017

Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning

Seung-Hwan Bae and Kuk-Jin Yoon[Demo] [Project & Code]

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-8, June, 2014

Algorithm for unknown SNR estimation based on sequential monte Carlo method in cluttered environment

Seung Hwan Bae, Yong Hoon Kim, Seok Jae Lee, Ju-Hong Yoon, Vladimir Shin

Seong-Ho Lee, Dae-Hyeon Park, and Seung-Hwan Bae*
[Project & Code]

Seong-Ho Lee, and Seung-Hwan Bae*
[Project & Code]

Seung-Hwan Bae and Kuk-Jin Yoon
[Demo] [Project & Code]