Column-Parallel Correlated Multiple Sampling Circuits for CMOS Image Sensors and Their Noise Reduction Effects. - Sungho Suh; Shinya Itoh; Satoshi Aoyama; Shoji Kawahito (Sensors, 2010)

Robust albedo estimation from a facial image with cast shadow. - Sungho Suh; Minsik Lee 001; Chong-Ho Choi (ICIP, 2011)

An 80μVrms-temporal-noise 82dB-dynamic-range CMOS Image Sensor with a 13-to-19b variable-resolution column-parallel folding-integration/cyclic ADC. - Min-Woong Seo; Sungho Suh; Tetsuya Iida; Hiroshi Watanabe; Taishi Takasawa; Tomoyuki Akahori; Keigo Isobe; Takashi Watanabe 003; Shinya Itoh; Shoji Kawahito (ISSCC, 2011)

A Low-Noise High Intrascene Dynamic Range CMOS Image Sensor With a 13 to 19b Variable-Resolution Column-Parallel Folding-Integration/Cyclic ADC. - Min-Woong Seo; Sungho Suh; Tetsuya Iida; Taishi Takasawa; Keigo Isobe; Takashi Watanabe 003; Shinya Itoh; Keita Yasutomi; Shoji Kawahito (IEEE J. Solid State Circuits, 2012)

Robust Albedo Estimation From a Facial Image With Cast Shadow Under General Unknown Lighting. - Sungho Suh; Minsik Lee 001; Chong-Ho Choi (IEEE Trans. Image Process., 2013)

Robust Registration Method of 3D Point Cloud Data. - Sungho Suh; Hansang Cho; Donglok Kim (ICPRAM, 2016)

Automatic Calibration of the Optical System in Passive Component Inspection. - Sungho Suh; Moonjoo Kim (VISIGRAPP (4: VISAPP), 2017)

Robust Shipping Label Recognition and Validation for Logistics by Using Deep Neural Networks. - Sungho Suh; Haebom Lee; Yong Oh Lee; Paul Lukowicz; Jongwoon Hwang (ICIP, 2019)

Fusion of Global-Local Features for Image Quality Inspection of Shipping Label. - Sungho Suh; Paul Lukowicz; Yong Oh Lee (ICPR, 2020)

Two-Stage Generative Adversarial Networks for Document Image Binarization with Color Noise and Background Removal. - Sungho Suh; Jihun Kim; Paul Lukowicz; Yong Oh Lee (CoRR, 2020)

Sequential Targeting: an incremental learning approach for data imbalance in text classification. - Joel Jang; Yoonjeon Kim; Kyoungho Choi; Sungho Suh (CoRR, 2020)

Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear. - Sungho Suh; Joel Jang; Seungjae Won; Mayank Shekhar Jha; Yong Oh Lee (Sensors, 2020)

MoCapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennas. - Hymalai Bello; Bo Zhou 005; Sungho Suh; Paul Lukowicz (ISWC, 2021)

Sequential Lung Nodule Synthesis Using Attribute-Guided Generative Adversarial Networks. - Sungho Suh; Sojeong Cheon; Dong-Jin Chang; Deukhee Lee; Yong Oh Lee (MICCAI (6), 2021)

Sequential targeting: A continual learning approach for data imbalance in text classification. - Joel Jang; Yoonjeon Kim; Kyoungho Choi; Sungho Suh (Expert Syst. Appl., 2021)

CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems. - Sungho Suh; Haebom Lee; Paul Lukowicz; Yong Oh Lee (Neural Networks, 2021)

Improving Classification Performance under Imbalanced Data Conditions using Generative Adversarial Networks. - Sungho Suh (2021)

Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition. - Mengxi Liu; Sungho Suh; Bo Zhou 005; Agnes Grünerbl; Paul Lukowicz (UbiComp/ISWC Adjunct, 2022)

Estimation Of 3d Body Shape And Clothing Measurements From Frontal-And Side-View Images. - Kundan Sai Prabhu Thota; Sungho Suh; Bo Zhou 005; Paul Lukowicz (ICIP, 2022)

Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition. - Vítor Fortes Rey; Sungho Suh; Paul Lukowicz (ISWC, 2022)

Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition. - Sungho Suh; Vítor Fortes Rey; Paul Lukowicz (PerCom, 2022)

Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as Antennas. - Hymalai Bello; Bo Zhou 005; Sungho Suh; Luis Alfredo Sanchez Marin; Paul Lukowicz (Frontiers Comput. Sci., 2022)

Quali-Mat: Evaluating the Quality of Execution in Body-Weight Exercises with a Pressure Sensitive Sports Mat. - Bo Zhou 005; Sungho Suh; Vítor Fortes Rey; Carlos Andres Velez Altamirano; Paul Lukowicz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Supervised segmentation with domain adaptation for small sampled orbital CT images. - Sungho Suh; Sojeong Cheon; Wonseo Choi; Yeon Woong Chung; Won-Kyung Cho; Ji-Sun Paik; Sung Eun Kim; Dong-Jin Chang; Yong Oh Lee (J. Comput. Des. Eng., 2022)

Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks. - Sungho Suh; Paul Lukowicz; Yong Oh Lee (Knowl. Based Syst., 2022)

Two-stage generative adversarial networks for binarization of color document images. - Sungho Suh; Jihun Kim; Paul Lukowicz; Yong Oh Lee (Pattern Recognit., 2022)

Discriminative feature generation for classification of imbalanced data. - Sungho Suh; Paul Lukowicz; Yong Oh Lee (Pattern Recognit., 2022)

FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. - Mengxi Liu; Bo Zhou 005; Zimin Zhao; Hyeonseok Hong; Hyun Kim 001; Sungho Suh; Vítor Fortes Rey; Paul Lukowicz (ASAP, 2023)

FaceEat: Facial and Eating Activities Recognition with Inertial and Mechanomyography Fusion using a Glasses-Based Design for Real-Time and on-the-Edge Inference. - Hymalai Bello; Sungho Suh; Bo Zhou 005; Paul Lukowicz (UbiComp/ISWC Adjunct, 2023)

CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control. - Hymalai Bello; Sungho Suh; Daniel Geißler; Lala Shakti Swarup Ray; Bo Zhou 005; Paul Lukowicz (UbiComp/ISWC Adjunct, 2023)

Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors. - Harish Haresamudram; Chi Ian Tang; Sungho Suh; Paul Lukowicz; Thomas Ploetz (UbiComp/ISWC Adjunct, 2023)

Unsupervised Diffusion Model for Sensor-based Human Activity Recognition. - Si Zuo; Vítor Fortes Rey; Sungho Suh; Stephan Sigg; Paul Lukowicz (UbiComp/ISWC Adjunct, 2023)

Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. - Hyungmin Kim 004; Sungho Suh; Daehwan Kim; Daun Jeong; Hansang Cho; Junmo Kim 002 (ICCV, 2023)

ClothFit: Cloth-Human-Attribute Guided Virtual Try-on Network Using 3D Simulated Dataset. - Yunmin Cho; Lala Shakti Swarup Ray; Kundan Sai Prabhu Thota; Sungho Suh; Paul Lukowicz (ICIP, 2023)

Two-Stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries. - Dhruv Aditya Mittal; Hymalai Bello; Bo Zhou 005; Mayank Shekhar Jha; Sungho Suh; Paul Lukowicz (IECON, 2023)

Chemical Property-Guided Neural Networks for Naphtha Composition Prediction. - Chonghyo Joo; Jeongdong Kim; Hyungtae Cho; Jaewon Lee; Sungho Suh; Junghwan Kim (INDIN, 2023)

A Knowledge Distillation Framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. - Jwalin Bhatt; Yaroslav Zharov; Sungho Suh; Tilo Baumbach; Vincent Heuveline; Paul Lukowicz (ISBI, 2023)

Selecting the Motion Ground Truth for Loose-fitting Wearables: Benchmarking Optical MoCap Methods. - Lala Shakti Swarup Ray; Bo Zhou 005; Sungho Suh; Paul Lukowicz (ISWC, 2023)

PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation. - Lala Shakti Swarup Ray; Bo Zhou 005; Sungho Suh; Paul Lukowicz (PerCom Workshops, 2023)

SREL: Severity Rating Ensemble Learning for Non-Destructive Fault Diagnosis of Cu Interconnects using S-parameter Patterns. - Tae Yeob Kang; Haebom Lee; Sungho Suh (CoRR, 2023)

Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition. - Si Zuo; Vítor Fortes Rey; Sungho Suh; Stephan Sigg; Paul Lukowicz (CoRR, 2023)

SynthCal: A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms. - Lala Shakti Swarup Ray; Bo Zhou 005; Lars Krupp; Sungho Suh; Paul Lukowicz (CoRR, 2023)

PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps. - Lala Shakti Swarup Ray; Vítor Fortes Rey; Bo Zhou 005; Sungho Suh; Paul Lukowicz (CoRR, 2023)

In situ Fault Diagnosis of Indium Tin Oxide Electrodes by Processing S-Parameter Patterns. - Tae Yeob Kang; Haebom Lee; Sungho Suh (CoRR, 2023)

Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks. - Sungho Suh; Dhruv Aditya Mittal; Hymalai Bello; Bo Zhou 005; Mayank Shekhar Jha; Paul Lukowicz (CoRR, 2023)

TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation. - Sungho Suh; Vítor Fortes Rey; Paul Lukowicz (Knowl. Based Syst., 2023)

MoCaPose: Motion Capturing with Textile-integrated Capacitive Sensors in Loose-fitting Smart Garments. - Bo Zhou 005; Daniel Geissler; Marc Faulhaber; Clara Elisabeth Gleiss; Esther Friederike Zahn; Lala Shakti Swarup Ray; David Gamarra; Vítor Fortes Rey; Sungho Suh; Sizhen Bian; Gesche Joost; Paul Lukowicz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Human-centric artificial intelligence architecture for industry 5.0 applications. - Joze M. Rozanec; Inna Novalija; Patrik Zajec; Klemen Kenda; Hooman Tavakoli Ghinani; Sungho Suh; Entso Veliou; Dimitrios Papamartzivanos; Thanassis Giannetsos; Sofia-Anna Menesidou; Rubén Alonso; Nino Cauli; et al. (Int. J. Prod. Res., 2023)

InMyFace: Inertial and mechanomyography-based sensor fusion for wearable facial activity recognition. - Hymalai Bello; Luis Alfredo Sanchez Marin; Sungho Suh; Bo Zhou 005; Paul Lukowicz (Inf. Fusion, 2023)

BeSound: Bluetooth-Based Position Estimation Enhancing with Cross-Modality Distillation. - Hymalai Bello; Sungho Suh; Bo Zhou 005; Paul Lukowicz (ABC, 2024)

Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition. - Parham Zolfaghari; Vítor Fortes Rey; Lala Shakti Swarup Ray; Hyun Kim 001; Sungho Suh; Paul Lukowicz (ABC, 2024)

The Power of Training: How Different Neural Network Setups Influence the Energy Demand. - Daniel Geißler; Bo Zhou 005; Mengxi Liu; Sungho Suh; Paul Lukowicz (ARCS, 2024)

Image Generation of Ultra-Thin Polymer Films Using Diffusion Models from Tensile Testing for Mechanical Failure Prediction. - Sungho Suh; Haebom Lee; Tae Yeob Kang (ICEIC, 2024)

Fault Diagnosis of Indium Tin Oxide Electrodes by Multi-channel S-parameter Patterns. - Sungho Suh; Haebom Lee; Tae Yeob Kang (ICEIC, 2024)

A Novel Local-Global Feature Fusion Framework for Body-Weight Exercise Recognition with Pressure Mapping Sensors. - Davinder Pal Singh; Lala Shakti Swarup Ray; Bo Zhou 005; Sungho Suh; Paul Lukowicz (ICASSP, 2024)

TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing Lines. - Hymalai Bello; Daniel Geißler; Sungho Suh; Bo Zhou 005; Paul Lukowicz (ICPR (25), 2024)

ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-Based Human Activity Recognition. - Lala Shakti Swarup Ray; Daniel Geißler; Mengxi Liu; Bo Zhou 005; Sungho Suh; Paul Lukowicz (ICPR (29), 2024)

A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms. - Lala Shakti Swarup Ray; Bo Zhou 005; Lars Krupp; Sungho Suh; Paul Lukowicz (ICPR (32), 2024)

Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR. - Lala Shakti Swarup Ray; Bo Zhou 005; Sungho Suh; Lars Krupp; Vítor Fortes Rey; Paul Lukowicz (PerCom Workshops, 2024)

MeciFace: Mechanomyography and Inertial Fusion-Based Glasses for Edge Real-Time Recognition of Facial and Eating Activities. - Hymalai Bello; Sungho Suh; Bo Zhou 005; Paul Lukowicz (UCAmI, 2024)

CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition. - Mengxi Liu; Zimin Zhao; Daniel Geißler; Bo Zhou 005; Sungho Suh; Paul Lukowicz (CoRR, 2024)

LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions. - Lars Krupp; Jonas Bley; Isacco Gobbi; Alexander Geng; Sabine Müller 001; Sungho Suh; Ali Moghiseh; Arcesio Castañeda Medina; Valeria Bartsch; Artur Widera; Herwig Ott; Paul Lukowicz; et al. (CoRR, 2024)

ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recogntion. - Lala Shakti Swarup Ray; Daniel Geißler; Mengxi Liu; Bo Zhou 005; Sungho Suh; Paul Lukowicz (CoRR, 2024)

Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization. - Daniel Geissler; Bo Zhou 005; Sungho Suh; Paul Lukowicz (CoRR, 2024)

Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets. - Daniel Geissler; Dominique Nshimyimana; Vítor Fortes Rey; Sungho Suh; Bo Zhou 005; Paul Lukowicz (CoRR, 2024)

ContextMix: A context-aware data augmentation method for industrial visual inspection systems. - Hyungmin Kim 004; Donghun Kim; Pyunghwan Ahn; Sungho Suh; Hansang Cho; Junmo Kim 002 (Eng. Appl. Artif. Intell., 2024)

A comprehensive evaluation of marker-based, markerless methods for loose garment scenarios in varying camera configurations. - Lala Shakti Swarup Ray; Bo Zhou 005; Sungho Suh; Paul Lukowicz (Frontiers Comput. Sci., 2024)

AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. - Hyungmin Kim 004; Sungho Suh; Sunghyun Baek; Daehwan Kim; Daun Jeong; Hansang Cho; Junmo Kim 002 (Knowl. Based Syst., 2024)

Worker Activity Recognition in Manufacturing Line Using Near-Body Electric Field. - Sungho Suh; Vítor Fortes Rey; Sizhen Bian; Yu-Chi Huang; Joze M. Rozanec; Hooman Tavakoli Ghinani; Bo Zhou 005; Paul Lukowicz (IEEE Internet Things J., 2024)

RAD: Region-Aware Diffusion Models for Image Inpainting. - Sora Kim; Sungho Suh; Minsik Lee 001 (CVPR, 2025)

OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models. - Lala Shakti Swarup Ray; Bo Zhou 005; Sungho Suh; Paul Lukowicz (ICASSP, 2025)

Initial Findings on Sensor based Open Vocabulary Activity Recognition via Text Embedding Inversion. - Lala Shakti Swarup Ray; Bo Zhou 005; Sungho Suh; Paul Lukowicz (PerCom Workshops, 2025)

SPACE: SPAtial-Aware Consistency rEgularization for Anomaly Detection in Industrial Applications. - Daehwan Kim; Hyungmin Kim; Daun Jeong; Sungho Suh; Hansang Cho (WACV, 2025)

PACL+: Online continual learning using proxy-anchor and contrastive loss with Gaussian replay for sensor-based human activity recognition. - Dhruv Aditya Mittal; Vítor Fortes Rey; Hymalai Bello; Paul Lukowicz; Sungho Suh (Expert Syst. Appl., 2025)

Exploration and exploitation in continual learning. - Kiseong Hong; Hyundong Jin; Sungho Suh; Eunwoo Kim (Neural Networks, 2025)

PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition. - Dominique Nshimyimana; Vítor Fortes Rey; Sungho Suh; Bo Zhou 005; Paul Lukowicz (CoRR, 2025)

Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task. - Harish Haresamudram; Chi Ian Tang; Sungho Suh; Paul Lukowicz; Thomas Plötz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)

TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition. - Lala Shakti Swarup Ray; Lars Krupp; Vítor Fortes Rey; Bo Zhou 005; Sungho Suh; Paul Lukowicz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)

MoCaPose: Motion Capture with Textile-Integrated Capacitive Sensors A New Approach to Wearable Tracking. - Bo Zhou 005; Daniel Geißler; Lala Shakti Swarup Ray; Vitor F. Rey; Sungho Suh; Sizhen Bian; Gesche Joost; Paul Lukowicz (GetMobile Mob. Comput. Commun., 2025)

SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models. - Lala Shakti Swarup Ray; Mengxi Liu; Deepika Gurung; Bo Zhou 005; Sungho Suh; Paul Lukowicz (CoRR, 2025)

ChairPose: Pressure-based Chair Morphology Grounded Sitting Pose Estimation through Simulation-Assisted Training. - Lala Shakti Swarup Ray; Vítor Fortes Rey; Bo Zhou 005; Paul Lukowicz; Sungho Suh (CoRR, 2025)

COA-HAR: Exploring contrastive online test-time adaptation for wearable sensor-based human activity recognition using sensor data augmentation. - Vítor Fortes Rey; Pedro Martelleto Bressane Rezende; Bo Zhou 005; Sungho Suh; Paul Lukowicz (Expert Syst. Appl., 2026)