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2020 – today
- 2024
[j20]Hyungmin Kim
, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim:
ContextMix: A context-aware data augmentation method for industrial visual inspection systems. Eng. Appl. Artif. Intell. 131: 107842 (2024)- [j19]Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Paul Lukowicz:
A comprehensive evaluation of marker-based, markerless methods for loose garment scenarios in varying camera configurations. Frontiers Comput. Sci. 6 (2024) - [j18]Sungho Suh, Vítor Fortes Rey, Sizhen Bian, Yu-Chi Huang, Joze M. Rozanec, Hooman Tavakoli Ghinani, Bo Zhou, Paul Lukowicz:
Worker Activity Recognition in Manufacturing Line Using Near-Body Electric Field. IEEE Internet Things J. 11(7): 11554-11565 (2024) - [j17]Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim:
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. Knowl. Based Syst. 293: 111692 (2024) - [c31]Hymalai Bello, Sungho Suh, Bo Zhou, Paul Lukowicz:
BeSound: Bluetooth-Based Position Estimation Enhancing with Cross-Modality Distillation. ABC 2024: 1-10 - [c30]Parham Zolfaghari, Vítor Fortes Rey, Lala Shakti Swarup Ray, Hyun Kim, Sungho Suh, Paul Lukowicz:
Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition. ABC 2024: 1-8 - [c29]Daniel Geißler, Bo Zhou, Mengxi Liu, Sungho Suh, Paul Lukowicz:
The Power of Training: How Different Neural Network Setups Influence the Energy Demand. ARCS 2024: 33-47 - [c28]Sungho Suh, Haebom Lee, Tae Yeob Kang:
Image Generation of Ultra-Thin Polymer Films Using Diffusion Models from Tensile Testing for Mechanical Failure Prediction. ICEIC 2024: 1-4 - [c27]Sungho Suh, Haebom Lee, Tae Yeob Kang:
Fault Diagnosis of Indium Tin Oxide Electrodes by Multi-channel S-parameter Patterns. ICEIC 2024: 1-4 - [c26]Davinder Pal Singh, Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Paul Lukowicz:
A Novel Local-Global Feature Fusion Framework for Body-Weight Exercise Recognition with Pressure Mapping Sensors. ICASSP 2024: 6375-6379 - [c25]Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Lars Krupp, Vítor Fortes Rey, Paul Lukowicz:
Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR. PerCom Workshops 2024: 461-464 - [i41]Daniel Geißler, Bo Zhou, Mengxi Liu, Sungho Suh, Paul Lukowicz:
The Power of Training: How Different Neural Network Setups Influence the Energy Demand. CoRR abs/2401.01851 (2024) - [i40]Mengxi Liu, Zimin Zhao, Daniel Geißler, Bo Zhou, Sungho Suh, Paul Lukowicz:
CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition. CoRR abs/2401.05426 (2024) - [i39]Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, Junmo Kim:
ContextMix: A context-aware data augmentation method for industrial visual inspection systems. CoRR abs/2401.10050 (2024) - [i38]Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Lars Krupp, Vítor Fortes Rey, Paul Lukowicz:
Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR. CoRR abs/2402.14427 (2024) - [i37]Hymalai Bello, Sungho Suh, Bo Zhou, Paul Lukowicz:
BeSound: Bluetooth-Based Position Estimation Enhancing with Cross-Modality Distillation. CoRR abs/2404.15999 (2024) - [i36]Parham Zolfaghari, Vítor Fortes Rey, Lala Shakti Swarup Ray, Hyun Kim, Sungho Suh, Paul Lukowicz:
Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition. CoRR abs/2406.16886 (2024) - [i35]Lars Krupp, Jonas Bley, Isacco Gobbi, Alexander Geng, Sabine Müller, Sungho Suh, Ali Moghiseh, Arcesio Castañeda Medina, Valeria Bartsch, Artur Widera, Herwig Ott, Paul Lukowicz, Jakob Karolus, Maximilian Kiefer-Emmanouilidis:
LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions. CoRR abs/2407.17024 (2024) - [i34]Lala Shakti Swarup Ray, Daniel Geißler, Mengxi Liu, Bo Zhou, Sungho Suh, Paul Lukowicz:
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recogntion. CoRR abs/2408.09527 (2024) - [i33]Hymalai Bello, Daniel Geißler, Sungho Suh, Bo Zhou, Paul Lukowicz:
TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing Lines. CoRR abs/2408.14146 (2024) - 2023
- [j16]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, Antonello Meloni, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, Blaz Fortuna, Dunja Mladenic, John Soldatos:
Human-centric artificial intelligence architecture for industry 5.0 applications. Int. J. Prod. Res. 61(20): 6847-6872 (2023) - [j15]Bo Zhou, 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:
MoCaPose: Motion Capturing with Textile-integrated Capacitive Sensors in Loose-fitting Smart Garments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 41:1-41:40 (2023) - [j14]Hymalai Bello, Luis Alfredo Sanchez Marin, Sungho Suh, Bo Zhou, Paul Lukowicz:
InMyFace: Inertial and mechanomyography-based sensor fusion for wearable facial activity recognition. Inf. Fusion 99: 101886 (2023) - [j13]Sungho Suh, Vítor Fortes Rey, Paul Lukowicz:
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation. Knowl. Based Syst. 260: 110143 (2023) - [c24]Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vítor Fortes Rey, Paul Lukowicz:
FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. ASAP 2023: 110-118 - [c23]Hymalai Bello, Sungho Suh, Daniel Geißler, Lala Shakti Swarup Ray, Bo Zhou, Paul Lukowicz:
CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control. UbiComp/ISWC Adjunct 2023: 165-169 - [c22]Hymalai Bello, Sungho Suh, Bo Zhou, Paul Lukowicz:
FaceEat: Facial and Eating Activities Recognition with Inertial and Mechanomyography Fusion using a Glasses-Based Design for Real-Time and on-the-Edge Inference. UbiComp/ISWC Adjunct 2023: 199 - [c21]Si Zuo, Vítor Fortes Rey, Sungho Suh, Stephan Sigg, Paul Lukowicz:
Unsupervised Diffusion Model for Sensor-based Human Activity Recognition. UbiComp/ISWC Adjunct 2023: 205 - [c20]Harish Haresamudram, Chi Ian Tang, Sungho Suh, Paul Lukowicz, Thomas Ploetz:
Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors. UbiComp/ISWC Adjunct 2023: 759-761 - [c19]Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim:
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. ICCV 2023: 16642-16651 - [c18]Yunmin Cho, Lala Shakti Swarup Ray, Kundan Sai Prabhu Thota, Sungho Suh, Paul Lukowicz:
ClothFit: Cloth-Human-Attribute Guided Virtual Try-on Network Using 3D Simulated Dataset. ICIP 2023: 3484-3488 - [c17]Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Sungho Suh, Paul Lukowicz:
Two-Stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries. IECON 2023: 1-7 - [c16]Chonghyo Joo, Jeongdong Kim, Hyungtae Cho, Jaewon Lee, Sungho Suh, Junghwan Kim:
Chemical Property-Guided Neural Networks for Naphtha Composition Prediction. INDIN 2023: 1-6 - [c15]Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz:
A Knowledge Distillation Framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. ISBI 2023: 1-5 - [c14]Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Paul Lukowicz:
Selecting the Motion Ground Truth for Loose-fitting Wearables: Benchmarking Optical MoCap Methods. ISWC 2023: 27-32 - [c13]Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Paul Lukowicz:
PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation. PerCom Workshops 2023: 484-489 - [i32]Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Paul Lukowicz:
PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation. CoRR abs/2302.00391 (2023) - [i31]Hymalai Bello, Luis Alfredo Sanchez Marin, Sungho Suh, Bo Zhou, Paul Lukowicz:
InMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable Facial Activity Recognition. CoRR abs/2302.04024 (2023) - [i30]Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz:
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. CoRR abs/2302.12562 (2023) - [i29]Tae Yeob Kang, Haebom Lee, Sungho Suh:
SREL: Severity Rating Ensemble Learning for Non-Destructive Fault Diagnosis of Cu Interconnects using S-parameter Patterns. CoRR abs/2304.10207 (2023) - [i28]Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vítor Fortes Rey, Paul Lukowicz:
FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. CoRR abs/2305.12824 (2023) - [i27]Chonghyo Joo, Jeongdong Kim, Hyungtae Cho, Jaewon Lee, Sungho Suh, Junghwan Kim:
Chemical Property-Guided Neural Networks for Naphtha Composition Prediction. CoRR abs/2306.01391 (2023) - [i26]Hymalai Bello, Sungho Suh, Daniel Geißler, Lala Shakti Swarup Ray, Bo Zhou, Paul Lukowicz:
CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control. CoRR abs/2306.04319 (2023) - [i25]Si Zuo, Vítor Fortes Rey, Sungho Suh, Stephan Sigg, Paul Lukowicz:
Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition. CoRR abs/2306.05285 (2023) - [i24]Hymalai Bello, Sungho Suh, Bo Zhou, Paul Lukowicz:
MeciFace: Mechanomyography and Inertial Fusion based Glasses for Edge Real-Time Recognition of Facial and Eating Activities. CoRR abs/2306.13674 (2023) - [i23]Yunmin Cho, Lala Shakti Swarup Ray, Kundan Sai Prabhu Thota, Sungho Suh, Paul Lukowicz:
ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset. CoRR abs/2306.13908 (2023) - [i22]Lala Shakti Swarup Ray, Bo Zhou, Lars Krupp, Sungho Suh, Paul Lukowicz:
SynthCal: A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms. CoRR abs/2307.01013 (2023) - [i21]Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim:
Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. CoRR abs/2307.10943 (2023) - [i20]Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Paul Lukowicz:
Selecting the motion ground truth for loose-fitting wearables: benchmarking optical MoCap methods. CoRR abs/2307.11881 (2023) - [i19]Lala Shakti Swarup Ray, Vítor Fortes Rey, Bo Zhou, Sungho Suh, Paul Lukowicz:
PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps. CoRR abs/2308.00538 (2023) - [i18]Sungho Suh, Vítor Fortes Rey, Sizhen Bian, Yu-Chi Huang, Joze M. Rozanec, Hooman Tavakoli Ghinani, Bo Zhou, Paul Lukowicz:
Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field. CoRR abs/2308.03514 (2023) - [i17]Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Sungho Suh, Paul Lukowicz:
Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries. CoRR abs/2308.03664 (2023) - [i16]Tae Yeob Kang, Haebom Lee, Sungho Suh:
In situ Fault Diagnosis of Indium Tin Oxide Electrodes by Processing S-Parameter Patterns. CoRR abs/2308.11639 (2023) - [i15]Davinder Pal Singh, Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Paul Lukowicz:
A Novel Local-Global Feature Fusion Framework for Body-weight Exercise Recognition with Pressure Mapping Sensors. CoRR abs/2309.07888 (2023) - [i14]Sungho Suh, Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Paul Lukowicz:
Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks. CoRR abs/2310.18924 (2023) - 2022
- [j12]Hymalai Bello, Bo Zhou, Sungho Suh, Luis Alfredo Sanchez Marin, Paul Lukowicz:
Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as Antennas. Frontiers Comput. Sci. 4 (2022) - [j11]Bo Zhou, Sungho Suh, Vítor Fortes Rey, Carlos Andres Velez Altamirano, Paul Lukowicz:
Quali-Mat: Evaluating the Quality of Execution in Body-Weight Exercises with a Pressure Sensitive Sports Mat. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 89:1-89:45 (2022) - [j10]Sungho Suh, Sojeong Cheon, Wonseo Choi, Yeon Woong Chung, Won-Kyung Cho, Ji-Sun Paik, Sung Eun Kim, Dong-Jin Chang, Yong Oh Lee:
Supervised segmentation with domain adaptation for small sampled orbital CT images. J. Comput. Des. Eng. 9(2): 783-792 (2022) - [j9]Sungho Suh, Paul Lukowicz, Yong Oh Lee:
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks. Knowl. Based Syst. 237: 107866 (2022) - [j8]Sungho Suh, Paul Lukowicz, Yong Oh Lee:
Discriminative feature generation for classification of imbalanced data. Pattern Recognit. 122: 108302 (2022) - [j7]Sungho Suh, Jihun Kim, Paul Lukowicz, Yong Oh Lee:
Two-stage generative adversarial networks for binarization of color document images. Pattern Recognit. 130: 108810 (2022) - [c12]Mengxi Liu, Sungho Suh, Bo Zhou, Agnes Grünerbl, Paul Lukowicz:
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition. UbiComp/ISWC Adjunct 2022: 356-363 - [c11]Kundan Sai Prabhu Thota, Sungho Suh, Bo Zhou, Paul Lukowicz:
Estimation Of 3d Body Shape And Clothing Measurements From Frontal-And Side-View Images. ICIP 2022: 2631-2635 - [c10]Vítor Fortes Rey, Sungho Suh, Paul Lukowicz:
Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition. ISWC 2022: 28-32 - [c9]Sungho Suh, Vítor Fortes Rey, Paul Lukowicz:
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition. PerCom 2022: 217-226 - [i13]Joze M. Rozanec, Inna Novalija, Patrik Zajec, Klemen Kenda, Hooman Tavakoli, Sungho Suh, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia-Anna Menesidou, Rubén Alonso, Nino Cauli, Antonello Meloni, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, Blaz Fortuna, Dunja Mladenic, John Soldatos:
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications. CoRR abs/2203.10794 (2022) - [i12]Kundan Sai Prabhu Thota, Sungho Suh, Bo Zhou, Paul Lukowicz:
Estimation of 3D Body Shape and Clothing Measurements from Frontal- and Side-view Images. CoRR abs/2205.14347 (2022) - [i11]Sungho Suh, Vítor Fortes Rey, Paul Lukowicz:
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation. CoRR abs/2209.09092 (2022) - [i10]Mengxi Liu, Sungho Suh, Bo Zhou, Agnes Grünerbl, Paul Lukowicz:
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition. CoRR abs/2210.00888 (2022) - [i9]Vítor Fortes Rey, Sungho Suh, Paul Lukowicz:
Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition. CoRR abs/2210.01459 (2022) - [i8]Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim:
AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. CoRR abs/2211.10938 (2022) - 2021
- [b1]Sungho Suh:
Improving Classification Performance under Imbalanced Data Conditions using Generative Adversarial Networks. Kaiserslautern University of Technology, Germany, 2021 - [j6]Joel Jang, Yoonjeon Kim, Kyoungho Choi, Sungho Suh:
Sequential targeting: A continual learning approach for data imbalance in text classification. Expert Syst. Appl. 179: 115067 (2021) - [j5]Sungho Suh, Haebom Lee, Paul Lukowicz, Yong Oh Lee:
CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems. Neural Networks 133: 69-86 (2021) - [c8]Hymalai Bello, Bo Zhou, Sungho Suh, Paul Lukowicz:
MoCapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennas. ISWC 2021: 78-83 - [c7]Sungho Suh, Sojeong Cheon, Dong-Jin Chang, Deukhee Lee, Yong Oh Lee:
Sequential Lung Nodule Synthesis Using Attribute-Guided Generative Adversarial Networks. MICCAI (6) 2021: 402-411 - [i7]Sungho Suh, Sojeong Cheon, Wonseo Choi, Yeon Woong Chung, Won-Kyung Cho, Ji-Sun Paik, Sung Eun Kim, Dong-Jin Chang, Yong Oh Lee:
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images. CoRR abs/2107.00418 (2021) - [i6]Sungho Suh, Paul Lukowicz, Yong Oh Lee:
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks. CoRR abs/2109.12513 (2021) - [i5]Sungho Suh, Vítor Fortes Rey, Paul Lukowicz:
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition. CoRR abs/2110.12163 (2021) - 2020
- [j4]Sungho Suh, Joel Jang, Seungjae Won, Mayank Shekhar Jha, Yong Oh Lee:
Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear. Sensors 20(20): 5846 (2020) - [c6]Sungho Suh, Paul Lukowicz, Yong Oh Lee:
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label. ICPR 2020: 2643-2649 - [i4]Sungho Suh, Paul Lukowicz, Yong Oh Lee:
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label. CoRR abs/2008.11440 (2020) - [i3]Sungho Suh, Jihun Kim, Paul Lukowicz, Yong Oh Lee:
Two-Stage Generative Adversarial Networks for Document Image Binarization with Color Noise and Background Removal. CoRR abs/2010.10103 (2020) - [i2]Sungho Suh, Paul Lukowicz, Yong Oh Lee:
Discriminative feature generation for classification of imbalanced data. CoRR abs/2010.12888 (2020) - [i1]Joel Jang, Yoonjeon Kim, Kyoungho Choi, Sungho Suh:
Sequential Targeting: an incremental learning approach for data imbalance in text classification. CoRR abs/2011.10216 (2020)
2010 – 2019
- 2019
- [c5]Sungho Suh, Haebom Lee, Yong Oh Lee, Paul Lukowicz, Jongwoon Hwang:
Robust Shipping Label Recognition and Validation for Logistics by Using Deep Neural Networks. ICIP 2019: 4509-4513 - 2017
- [c4]Sungho Suh, Moonjoo Kim:
Automatic Calibration of the Optical System in Passive Component Inspection. VISIGRAPP (4: VISAPP) 2017: 230-237 - 2016
- [c3]Sungho Suh, Hansang Cho, Donglok Kim:
Robust Registration Method of 3D Point Cloud Data. ICPRAM 2016: 630-637 - 2013
- [j3]Sungho Suh, Minsik Lee, Chong-Ho Choi:
Robust Albedo Estimation From a Facial Image With Cast Shadow Under General Unknown Lighting. IEEE Trans. Image Process. 22(1): 391-401 (2013) - 2012
- [j2]Min-Woong Seo, Sungho Suh, Tetsuya Iida, Taishi Takasawa, Keigo Isobe, Takashi Watanabe, Shinya Itoh, Keita Yasutomi, Shoji Kawahito:
A Low-Noise High Intrascene Dynamic Range CMOS Image Sensor With a 13 to 19b Variable-Resolution Column-Parallel Folding-Integration/Cyclic ADC. IEEE J. Solid State Circuits 47(1): 272-283 (2012) - 2011
- [c2]Sungho Suh, Minsik Lee, Chong-Ho Choi:
Robust albedo estimation from a facial image with cast shadow. ICIP 2011: 873-876 - [c1]Min-Woong Seo, Sungho Suh, Tetsuya Iida, Hiroshi Watanabe, Taishi Takasawa, Tomoyuki Akahori, Keigo Isobe, Takashi Watanabe, Shinya Itoh, Shoji Kawahito:
An 80μVrms-temporal-noise 82dB-dynamic-range CMOS Image Sensor with a 13-to-19b variable-resolution column-parallel folding-integration/cyclic ADC. ISSCC 2011: 400-402 - 2010
- [j1]Sungho Suh, Shinya Itoh, Satoshi Aoyama, Shoji Kawahito:
Column-Parallel Correlated Multiple Sampling Circuits for CMOS Image Sensors and Their Noise Reduction Effects. Sensors 10(10): 9139-9154 (2010)
Coauthor Index
[j19] [j18] [c31] [c30] [c29] [c26] [c25] [i41] [i40] [i38] [i37] [i36] [i35] [i34] [i33] [j15] [j14] [j13] [c24] [c23] [c22] [c21] [c20] [c18] [c17] [c15] [c14] [c13] [i32] [i31] [i30] [i28] [i26] [i25] [i24] [i23] [i22] [i20] [i19] [i18] [i17] [i15] [i14] [j12] [j11] [j9] [j8] [j7] [c12] [c11] [c10] [c9] [i12] [i11] [i10] [i9] [j5] [c8] [i6] [i5] [c6] [i4] [i3] [i2] [c5]
Vitor F. Rey
aka: Vítor Fortes Rey
aka: Vítor Fortes Rey
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