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Title: Seokeon Choi

Open Graph Title: Seokeon Choi

Open Graph Description: Seokeon Choi I am a Staff Research Engineer in the Agentic AI team at Qualcomm AI Research. Before joining Qualcomm, I completed my Ph.D. in Electrical Engineering at KAIST, advised by Prof. Changick Kim. During my Ph.D., I was a Research Intern in the TensorFlow Model Optimization team at Google,

Opengraph URL: https://sites.google.com/site/seokeonchoi

direct link

Domain: sites.google.com

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referrerstrict-origin-when-cross-origin
og:typewebsite
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Links:

Qualcomm AI Researchhttps://www.qualcomm.com/research/artificial-intelligence/ai-research
KAISThttps://www.kaist.ac.kr/en/
Changick Kimhttps://scholar.google.com/citations?user=ABH_2lcAAAAJ
TensorFlow Model Optimizationhttps://www.tensorflow.org/model_optimization
Googlehttps://research.google/
CMUhttps://www.cmu.edu/
Alex Hauptmannhttps://scholar.google.co.uk/citations?user=Py54GcEAAAAJ
CV (Dec. 2025)https://drive.google.com/file/d/1EXlpCwbD7rCu1409npYK1Z7drtbLIDKB/view?usp=sharing
Cover letterhttps://drive.google.com/file/d/1Sctz_p-PLKTQfCtT_kuKqGe8MtnYxcO8/view?usp=sharing
Google Scholarhttps://scholar.google.co.kr/citations?user=wydV__gAAAAJ&hl=en
GitHubhttps://github.com/bismex
LinkedInhttps://www.linkedin.com/in/seokeon/
Twitterhttps://twitter.com/SeokeonC
NeurIPS'24https://neurips.cc/virtual/2024/poster/95300
ICCV'25ahttps://arxiv.org/pdf/2508.00319
ICCV'25bhttps://arxiv.org/pdf/2507.08044
ICCVW'25https://arxiv.org/pdf/2507.10029
NeurIPS'25https://arxiv.org/pdf/2506.20879
Preprint-ahttps://arxiv.org/pdf/2507.10217
CVPR'23https://openaccess.thecvf.com/content/CVPR2023/papers/Choi_Progressive_Random_Convolutions_for_Single_Domain_Generalization_CVPR_2023_paper.pdf
CVPR'20https://openaccess.thecvf.com/content_CVPR_2020/papers/Choi_Hi-CMD_Hierarchical_Cross-Modality_Disentanglement_for_Visible-Infrared_Person_Re-Identification_CVPR_2020_paper.pdf
CVPR'19https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Diversify_and_Match_A_Domain_Adaptive_Representation_Learning_Paradigm_for_CVPR_2019_paper.pdf
CVPRW'23https://openaccess.thecvf.com/content/CVPR2023W/L3D-IVU/papers/Kim_Neural_Transformation_Network_To_Generate_Diverse_Views_for_Contrastive_Learning_CVPRW_2023_paper.pdf
ECCV'24https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/09073.pdf
CVPR'23https://openaccess.thecvf.com/content/CVPR2023/papers/Choi_Progressive_Random_Convolutions_for_Single_Domain_Generalization_CVPR_2023_paper.pdf
CVPR'21ahttps://openaccess.thecvf.com/content/CVPR2021/papers/Choi_Meta_Batch-Instance_Normalization_for_Generalizable_Person_Re-Identification_CVPR_2021_paper.pdf
ECCV'22https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136930433.pdf
CVPR'19https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Diversify_and_Match_A_Domain_Adaptive_Representation_Learning_Paradigm_for_CVPR_2019_paper.pdf
CVPR'20https://openaccess.thecvf.com/content_CVPR_2020/papers/Choi_Hi-CMD_Hierarchical_Cross-Modality_Disentanglement_for_Visible-Infrared_Person_Re-Identification_CVPR_2020_paper.pdf
CVPRW'23https://openaccess.thecvf.com/content/CVPR2023W/L3D-IVU/papers/Kim_Neural_Transformation_Network_To_Generate_Diverse_Views_for_Contrastive_Learning_CVPRW_2023_paper.pdf
CVPR'21bhttps://openaccess.thecvf.com/content/CVPR2021/papers/Jeong_Few-Shot_Open-Set_Recognition_by_Transformation_Consistency_CVPR_2021_paper.pdf
CVPR'21ahttps://openaccess.thecvf.com/content/CVPR2021/papers/Choi_Meta_Batch-Instance_Normalization_for_Generalizable_Person_Re-Identification_CVPR_2021_paper.pdf
CVPR'20https://openaccess.thecvf.com/content_CVPR_2020/papers/Choi_Hi-CMD_Hierarchical_Cross-Modality_Disentanglement_for_Visible-Infrared_Person_Re-Identification_CVPR_2020_paper.pdf
arXiv'19https://arxiv.org/pdf/1909.13248.pdf
CVPRW'21https://openaccess.thecvf.com/content/CVPR2021W/MAI/papers/Choi_MobileHumanPose_Toward_Real-Time_3D_Human_Pose_Estimation_in_Mobile_Devices_CVPRW_2021_paper.pdf
TPAMI'22https://ieeexplore.ieee.org/document/9881239
TIFS'19https://ieeexplore.ieee.org/document/8653351
CVPR'19https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Diversify_and_Match_A_Domain_Adaptive_Representation_Learning_Paradigm_for_CVPR_2019_paper.pdf
BMVC'19https://scholar.archive.org/work/2zopw4zyjraornxmvqjnbgl43i/access/wayback/https://bmvc2019.org/wp-content/uploads/papers/0564-paper.pdf
ECCVW'20https://arxiv.org/pdf/2008.04722.pdf
ECCVW'18https://openaccess.thecvf.com/content_ECCVW_2018/papers/11129/Lee_A_Memory_Model_based_on_the_Siamese_Network_for_Long-term_ECCVW_2018_paper.pdf
WACV'20https://openaccess.thecvf.com/content_WACV_2020/papers/Kim_RPM-Net_Robust_Pixel-Level_Matching_Networks_for_Self-Supervised_Video_Object_Segmentation_WACV_2020_paper.pdf
ICCV'21https://openaccess.thecvf.com/content/ICCV2021/papers/Kim_Just_a_Few_Points_Are_All_You_Need_for_Multi-View_ICCV_2021_paper.pdf
ECCVW'20https://link.springer.com/chapter/10.1007/978-3-030-68238-5_39
ECCVW'18https://openaccess.thecvf.com/content_ECCVW_2018/papers/11129/Kristan_The_sixth_Visual_Object_Tracking_VOT2018_challenge_results_ECCVW_2018_paper.pdf
Preprinthttps://arxiv.org/pdf/2511.22690
Paperhttps://arxiv.org/pdf/2506.20879
code&datasethttps://github.com/Qualcomm-AI-research/MultiHuman-Testbench
Preprinthttps://arxiv.org/pdf/2507.10217
LIMIThttps://iccv2025-limit-workshop.limitlab.xyz/
Paperhttps://arxiv.org/pdf/2507.10029
Paperhttps://arxiv.org/pdf/2508.00319
Paperhttps://arxiv.org/pdf/2507.08044
paperhttps://neurips.cc/virtual/2024/poster/95300
paperhttps://arxiv.org/pdf/2407.08245
paperhttps://openaccess.thecvf.com/content/CVPR2023/papers/Choi_Progressive_Random_Convolutions_for_Single_Domain_Generalization_CVPR_2023_paper.pdf
supphttps://openaccess.thecvf.com/content/CVPR2023/supplemental/Choi_Progressive_Random_Convolutions_CVPR_2023_supplemental.pdf
videohttps://www.youtube.com/watch?v=BBNNpRwMvB4
slidehttps://drive.google.com/file/d/1Nt7-Fu3GYPmQzF0IZXR1fhQrfCWIhzuQ/view?usp=drive_link
posterhttps://drive.google.com/file/d/1BR_NPgjhVFhK74WJfcLt_unTxU2-CQAc/view?usp=drive_link
paperhttps://openaccess.thecvf.com/content/CVPR2023W/L3D-IVU/papers/Kim_Neural_Transformation_Network_To_Generate_Diverse_Views_for_Contrastive_Learning_CVPRW_2023_paper.pdf
supphttps://openaccess.thecvf.com/content/CVPR2023W/L3D-IVU/supplemental/Kim_Neural_Transformation_Network_CVPRW_2023_supplemental.pdf
posterhttps://drive.google.com/file/d/14NQnZcuNN729nlOEMc0NpeBvJBme-rBr/view?usp=drive_link
paperhttps://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136930433.pdf
paperhttps://ieeexplore.ieee.org/document/9881239
codehttps://github.com/hjeun/idu
paperhttps://openaccess.thecvf.com/content/ICCV2021/papers/Kim_Just_a_Few_Points_Are_All_You_Need_for_Multi-View_ICCV_2021_paper.pdf
supphttps://openaccess.thecvf.com/content/ICCV2021/supplemental/Kim_Just_a_Few_ICCV_2021_supplemental.pdf
paperhttps://openaccess.thecvf.com/content/CVPR2021/papers/Choi_Meta_Batch-Instance_Normalization_for_Generalizable_Person_Re-Identification_CVPR_2021_paper.pdf
supphttps://openaccess.thecvf.com/content/CVPR2021/supplemental/Choi_Meta_Batch-Instance_Normalization_CVPR_2021_supplemental.pdf
codehttps://github.com/bismex/MetaBIN
paperhttps://openaccess.thecvf.com/content/CVPR2021/papers/Jeong_Few-Shot_Open-Set_Recognition_by_Transformation_Consistency_CVPR_2021_paper.pdf
supphttps://openaccess.thecvf.com/content/CVPR2021/supplemental/Jeong_Few-Shot_Open-Set_Recognition_CVPR_2021_supplemental.pdf
codehttps://github.com/MinkiJ/SnaTCHer
paperhttps://openaccess.thecvf.com/content/CVPR2021W/MAI/papers/Choi_MobileHumanPose_Toward_Real-Time_3D_Human_Pose_Estimation_in_Mobile_Devices_CVPRW_2021_paper.pdf
codehttps://github.com/SangbumChoi/MobileHumanPose
paperhttps://arxiv.org/pdf/2008.04722.pdf
codehttps://github.com/bismex/RLT-DIMP
videohttps://www.youtube.com/watch?v=Yp0HiKvV8F4
videohttps://www.youtube.com/watch?v=dm3_CwkEy3M&t=1s
paperhttps://openaccess.thecvf.com/content_CVPR_2020/papers/Choi_Hi-CMD_Hierarchical_Cross-Modality_Disentanglement_for_Visible-Infrared_Person_Re-Identification_CVPR_2020_paper.pdf
supphttps://openaccess.thecvf.com/content_CVPR_2020/supplemental/Choi_Hi-CMD_Hierarchical_Cross-Modality_CVPR_2020_supplemental.pdf
codehttps://github.com/bismex/HiCMD
videohttps://youtu.be/da_4DxF0rGk
videohttps://www.youtube.com/watch?v=Llx__UKFBIY
posterhttps://drive.google.com/open?id=1oT_fVHPmLm6WixJQqsLtu7I3gvG_9rnn
slidehttps://drive.google.com/open?id=1_obWYE5_z_aEqvsYyozt5WMTzngB9vnS
slidehttps://drive.google.com/open?id=1uSBwIMOjv3G1Fahdo319jyol9FPoefx_
paperhttps://openaccess.thecvf.com/content_WACV_2020/papers/Kim_RPM-Net_Robust_Pixel-Level_Matching_Networks_for_Self-Supervised_Video_Object_Segmentation_WACV_2020_paper.pdf
supphttps://openaccess.thecvf.com/content_WACV_2020/supplemental/Kim_RPM-Net_Robust_Pixel-Level_WACV_2020_supplemental.pdf
videohttps://www.youtube.com/watch?v=AjvX9n4X-uA&t=2892s
paperhttps://scholar.archive.org/work/2zopw4zyjraornxmvqjnbgl43i/access/wayback/https://bmvc2019.org/wp-content/uploads/papers/0564-paper.pdf
paperhttps://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Diversify_and_Match_A_Domain_Adaptive_Representation_Learning_Paradigm_for_CVPR_2019_paper.pdf
supphttps://openaccess.thecvf.com/content_CVPR_2019/supplemental/Kim_Diversify_and_Match_CVPR_2019_supplemental.pdf
codehttps://github.com/TKKim93/DivMatch
paperhttps://ieeexplore.ieee.org/document/8653351
codehttps://github.com/bismex/RFM
datasethttps://drive.google.com/open?id=1LqWl0qGqL-yWKbPkLmB-GI2oi9KVPEi6
paperhttps://openaccess.thecvf.com/content_ECCVW_2018/papers/11129/Lee_A_Memory_Model_based_on_the_Siamese_Network_for_Long-term_ECCVW_2018_paper.pdf
codehttps://github.com/bismex/MMLT
linkhttps://patents.google.com/patent/US20250356561A1/en
linkhttps://patents.google.com/patent/US20250356171A1/en
linkhttps://patents.google.com/patent/US20250356190A1/en
linkhttps://patents.google.com/patent/US20250068662A1/en
linkhttps://patents.google.com/patent/US20240112039A1/en
linkhttps://patents.google.com/patent/US20230376753A1/en
linkhttps://patents.google.com/patent/US20230281509A1/en
Best Paper Awardhttps://iccv2025-limit-workshop.limitlab.xyz/awards
Top Reviewerhttps://neurips.cc/Conferences/2025/ProgramCommittee#top-reviewer

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