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Seyun Kim

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2020 – today

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2024
[j9]
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Seyun Kim, Jonathan Ho, Yinan Li, Bonnie Fan, Willa Yunqi Yang, Jessie Ramey, Sarah E. Fox, Haiyi Zhu, John Zimmerman, Motahhare Eslami:
Integrating Equity in Public Sector Data-Driven Decision Making: Exploring the Desired Futures of Underserved Stakeholders. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-39 (2024)
[c20]
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Seyun Kim, Bonnie Fan, Willa Yunqi Yang, Jessie Ramey, Sarah E. Fox, Haiyi Zhu, John Zimmerman, Motahhare Eslami:
Public Technologies Transforming Work of the Public and the Public Sector. CHIWORK 2024: 20:1-20:12
[c19]
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Jane Hsieh, Angie Zhang, Seyun Kim, Varun Nagaraj Rao, Samantha Dalal, Alexandra Mateescu, Rafael Do Nascimento Grohmann, Motahhare Eslami, Haiyi Zhu:
Worker Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities. CSCW Companion 2024: 697-700
[i9]
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  - journals/corr/abs-2405-18579
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Seyun Kim, Bonnie Fan, Willa Yunqi Yang, Jessie Ramey, Sarah E. Fox, Haiyi Zhu, John Zimmerman, Motahhare Eslami:
Public Technologies Transforming Work of the Public and the Public Sector. CoRR abs/2405.18579 (2024)
[i8]
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  - journals/corr/abs-2409-00737
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Jane Hsieh, Angie Zhang, Seyun Kim, Varun Nagaraj Rao, Samantha Dalal, Alexandra Mateescu, Rafael Do Nascimento Grohmann, Motahhare Eslami, Min Kyung Lee, Haiyi Zhu:
Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities. CoRR abs/2409.00737 (2024)
2023
[j8]
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Houston Claure, Seyun Kim, René F. Kizilcec, Malte F. Jung:
The social consequences of Machine Allocation Behavior: Fairness, interpersonal perceptions and performance. Comput. Hum. Behav. 146: 107628 (2023)
[c18]
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Gwanghwan Seong, Namwoo Kim, Seyun Kim, Yoonjin Yoon:
Multi-modal Based Region Representation Learning Considering Mobility Data in Seoul. ANT/EDI40 2023: 251-258
[c17]
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Hyeyeong Lee, Namwoo Kim, Seyun Kim, Yoonjin Yoon:
Detecting socioeconomic changes of Chicago regions between 2013 and 2020 using urban region representation learning. ANT/EDI40 2023: 259-266
[c16]
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  - conf/iccv/BaeLK23
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Jaehyeok Bae, Jae-Han Lee, Seyun Kim:
PNI: Industrial Anomaly Detection using Position and Neighborhood Information. ICCV 2023: 6350-6360
[c15]
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Yeong Il Jang, Keuntek Lee, Gu Yong Park, Seyun Kim, Nam Ik Cho:
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network. ICCV 2023: 12162-12171
[c14]
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Yuyol Shin, Gwanghwan Seong, Namwoo Kim, Seyun Kim, Yoonjin Yoon:
Understanding Urban Economic Status through GNN-based Urban Representation Learning Using Mobility Data. UrbanAI@SIGSPATIAL 2023: 71-80
[i7]
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  - journals/corr/abs-2303-11592
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Hochang Rhee, Seyun Kim, Nam Ik Cho:
Lightweight Hybrid Video Compression Framework Using Reference-Guided Restoration Network. CoRR abs/2303.11592 (2023)
[i6]
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  - journals/corr/abs-2304-09507
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Yeong Il Jang, Keuntek Lee, Gu Yong Park, Seyun Kim, Nam Ik Cho:
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network. CoRR abs/2304.09507 (2023)
2022
[j7]
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  - journals/pacmhci/ZhangZGCKYZ22
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Ruidong Zhang, Jihai Zhang, Nitish Gade, Peng Cao, Seyun Kim, Junchi Yan, Cheng Zhang:
EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU. Proc. ACM Hum. Comput. Interact. 6(MHCI): 1-22 (2022)
[c13]
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Kwanhyung Lee, Hyewon Jeong, Seyun Kim, Donghwa Yang, Hoon-Chul Kang, Edward Choi:
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting. CHIL 2022: 311-337
[c12]
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  - conf/cvpr/RheeJKC22
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Hochang Rhee, Yeong Il Jang, Seyun Kim, Nam Ik Cho:
LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network. CVPR 2022: 6023-6032
[c11]
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  - conf/hri/ClaureCKOBLJ22
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Houston Claure, Mai Lee Chang, Seyun Kim, Daniel Omeiza, Martim Brandao, Min Kyung Lee, Malte F. Jung:
Fairness and Transparency in Human-Robot Interaction. HRI 2022: 1244-1246
[c10]
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Soohwan Oh, Yoonjin Yoon, Seyun Kim:
Risk Analysis of Unmanned Aerial System Operations in Urban Airspace Considering Spatiotemporal Population Dynamics. ITSC 2022: 428-433
[i5]
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  - journals/corr/abs-2201-08780
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Kwanhyung Lee, Hyewon Jeong, Seyun Kim, Donghwa Yang, Hoon-Chul Kang, Edward Choi:
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting. CoRR abs/2201.08780 (2022)
[i4]
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  - journals/corr/abs-2211-12634
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Jaehyeok Bae, Jae-Han Lee, Seyun Kim:
Image Anomaly Detection and Localization with Position and Neighborhood Information. CoRR abs/2211.12634 (2022)
2021
[j6]
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  - journals/access/RheeJKC21
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Hochang Rhee, Yeong Il Jang, Seyun Kim, Nam Ik Cho:
Lossless Image Compression by Joint Prediction of Pixel and Context Using Duplex Neural Networks. IEEE Access 9: 86632-86645 (2021)
[j5]
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  - journals/jcde/LeeNKKPMH21
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Hyunoh Lee, Chiho Noh, Seyun Kim, Byungchul Kim, Jinpyo Park, Duhwan Mun, Soonhung Han:
Neutral model-based interfacing of 3D design to support collaborative project management in the process plant industry. J. Comput. Des. Eng. 8(3): 824-835 (2021)
[c9]
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  - conf/apsipa/ShimRJLKC21
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Jae Hoon Shim, Hochang Rhee, Yeong Il Jang, Geonsu Lee, Seyun Kim, Nam Ik Cho:
Lossless Image Compression Based on Image Decomposition and Progressive Prediction Using Convolutional Neural Networks. APSIPA ASC 2021: 158-163
[c8]
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  - conf/cikm/AhnKK21
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Dawon Ahn, Seyun Kim, U Kang:
Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values. CIKM 2021: 2822-2826
[i3]
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  - journals/corr/abs-2112-06417
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Hochang Rhee, Yeong Il Jang, Seyun Kim, Nam Ik Cho:
LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network. CoRR abs/2112.06417 (2021)
2020
[c7]
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  - conf/icip/RheeJKC20
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Hochang Rhee, Yeong Il Jang, Seyun Kim, Nam Ik Cho:
Channel-Wise Progressive Learning For Lossless Image Compression. ICIP 2020: 1113-1117
[i2]
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  - journals/corr/abs-2006-08365
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Jungwoo Cho, Soohwan Oh, Seyun Kim, Namwoo Kim, Yu Yol Shin, Haechan Cho, Yoonjin Yoon:
COVID-19 Mobility Data Collection of Seoul, South Korea. CoRR abs/2006.08365 (2020)
[i1]
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  - journals/corr/abs-2009-09073
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Jungwoo Cho, Yu Yol Shin, Seyun Kim, Namwoo Kim, Soohwan Oh, Haechan Cho, Yoonjin Yoon:
Running the COVID-19 marathon: the behavioral adaptations in mobility and facemask over 27 weeks of pandemic in Seoul, South Korea. CoRR abs/2009.09073 (2020)

2010 – 2019

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2019
[c6]
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  - conf/itsc/NohKY19
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Yuna Noh, Seyun Kim, Yoonjin Yoon:
Evaluation on Diversity of Drivers' Cognitive Stress Response using EEG and ECG Signals during Real-Traffic Experiment with an Electric Vehicle. ITSC 2019: 3987-3992
2015
[j4]
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  - journals/chb/LimHKB15
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Joon Soo Lim, YoungChan Hwang, Seyun Kim, Frank A. Biocca:
How social media engagement leads to sports channel loyalty: Mediating roles of social presence and channel commitment. Comput. Hum. Behav. 46: 158-167 (2015)
2014
[j3]
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  - journals/tcsv/KimC14
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Seyun Kim, Nam Ik Cho:
Lossless Compression of Color Filter Array Images by Hierarchical Prediction and Context Modeling. IEEE Trans. Circuits Syst. Video Technol. 24(6): 1040-1046 (2014)
[j2]
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  - journals/tip/KimC14
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Seyun Kim, Nam Ik Cho:
Hierarchical Prediction and Context Adaptive Coding for Lossless Color Image Compression. IEEE Trans. Image Process. 23(1): 445-449 (2014)
2012
[c5]
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  - conf/vcip/HaKC12
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Seong Jong Ha, Seyun Kim, Nam Ik Cho:
Image registration by using a descriptor for repetitive patterns. VCIP 2012: 1-6
[c4]
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Seyun Kim, Nam Ik Cho:
A lossless color image compression method based on a new reversible color transform. VCIP 2012: 1-4
2011
[j1]
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  - journals/vlsisp/KukKC11
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Jung Gap Kuk, Seyun Kim, Nam Ik Cho:
A New Overlap Save Algorithm for Fast Block Convolution and Its Implementation Using FFT. J. Signal Process. Syst. 63(1): 143-152 (2011)
[c3]
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Seyun Kim, Nam Ik Cho:
Color filter array demosaicking using optimized edge direction map. MMSP 2011: 1-4
2010
[c2]
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  - conf/icra/LeeKCKC10
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Byoung-gi Lee, Hyun-dong Kim, JongSuk Choi, Seyun Kim, Nam Ik Cho:
DSP integration of sound source localization and multi-channel Wiener filter. ICRA 2010: 4830-4835

2000 – 2009

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2009
[c1]
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  - conf/ichit/HaKSSJK09
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Soojung Ha, Seyun Kim, Minkook Suh, Hyunwoo Seong, Kwang Mo Jeong, Sung-Ho Kim:
A statistical method for structure learning of Bayesian networks from data. ICHIT 2009: 75-78

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