| 2025 | CVPR | Masking meets Supervision: A Strong Learning Alliance. | Byeongho Heo, Taekyung Kim, Sangdoo Yun, Dongyoon Han |
| 2025 | CVPR | SK-RD4AD : Skip-Connected Reverse Distillation For Robust One-Class Anomaly Detection. | Eun-Ju Park, Taekyung Kim, Minju Kim, Hojun Lee, Gil-Jun Lee |
| 2025 | ICIS | Beyond Mere Distance: How Intra- and Inter-Brand Proximity Shape Omnichannel Performance. | Xuanting Jin, Sungyong Um, Taekyung Kim, Dongwon Lee |
| 2025 | ICLR | Morphing Tokens Draw Strong Masked Image Models. | Taekyung Kim, Byeongho Heo, Dongyoon Han |
| 2025 | ICRA | Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation. | Taekyung Kim, Robin Inho Kee, Dimitra Panagou |
| 2025 | IROS | Safe Navigation in Uncertain Crowded Environments Using Risk Adaptive CVaR Barrier Functions. | Xinyi Wang, Taekyung Kim, Bardh Hoxha, Georgios Fainekos, Dimitra Panagou |
| 2024 | ECCV | Learning with Unmasked Tokens Drives Stronger Vision Learners. | Taekyung Kim, Sanghyuk Chun, Byeongho Heo, Dongyoon Han |
| 2024 | ECCV | HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. | Wonjae Kim, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, Sangdoo Yun |
| 2024 | ECCV | Leveraging Temporal Contextualization for Video Action Recognition. | Minji Kim, Dongyoon Han, Taekyung Kim, Bohyung Han |
| 2024 | IROS | METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation. | Junwon Seo, Taekyung Kim, Seongyong Ahn, Kiho Kwak |
| 2023 | CVPR | Neural Transformation Network to Generate Diverse Views for Contrastive Learning. | Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim |
| 2023 | ICLR | What Do Self-Supervised Vision Transformers Learn? | Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun |
| 2023 | ICML | Robust Camera Pose Refinement for Multi-Resolution Hash Encoding. | Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim |
| 2022 | ASIACRYPT | EvalRound Algorithm in CKKS Bootstrapping. | Seonghak Kim, Minji Park, Jaehyung Kim, Taekyung Kim, Chohong Min |
| 2022 | CCS | META-BTS: Bootstrapping Precision Beyond the Limit. | Youngjin Bae, Jung Hee Cheon, Wonhee Cho, Jaehyung Kim, Taekyung Kim |
| 2022 | IROS | Physics Embedded Neural Network Vehicle Model and Applications in Risk-Aware Autonomous Driving Using Latent Features. | Taekyung Kim, Hojin Lee, Wonsuk Lee |
| 2021 | CVPR | Meta Batch-Instance Normalization for Generalizable Person Re-Identification. | Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim |
| 2021 | ICCV | Just a Few Points are All You Need for Multi-view Stereo: A Novel Semi-supervised Learning Method for Multi-view Stereo. | Taekyung Kim, Jaehoon Choi, Seokeon Choi, Dongki Jung, Changick Kim |
| 2020 | CVPR | Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. | Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim |
| 2020 | ECCV | Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation. | Taekyung Kim, Changick Kim |
| 2020 | INFOCOM | AnyScatter: Eliminating Technology Dependency in Ambient Backscatter Systems. | Taekyung Kim, Wonjun Lee |
| 2020 | WACV | RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. | Youngeun Kim, Seokeon Choi, Hankyeol Lee, Taekyung Kim, Changick Kim |
| 2019 | BMVC | Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. | Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim |
| 2019 | CVPR | Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. | Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim |
| 2019 | ICCV | Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation. | Jaehoon Choi, Taekyung Kim, Changick Kim |
| 2019 | ICCV | Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. | Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim |
| 2019 | INFOCOM | Channel Independent Wi-Fi Backscatter Networks. | Taekyung Kim, Wonjun Lee |
| 2019 | WACV | CNN-Based Semantic Segmentation Using Level Set Loss. | Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim |
| 2018 | INFOCOM | Exploiting Residual Channel for Implicit Wi-Fi Backscatter Networks. | Taekyung Kim, Wonjun Lee |
| 2018 | VCIP | Weakly Supervised Semantic Segmentation Using Color Adjacency Loss. | Youngeun Kim, Taekyung Kim, Seunghyeon Kim, Changick Kim |
| 2017 | ICIS | Efficacy of a Health App for Obesity and Overweight Management: A Hidden Markov Model. | Hyeokkoo Eric Kwon, Sanjeev Dewan, Wonseok Oh, Taekyung Kim |
| 2009 | ICDE | Parallel Skyline Computation on Multicore Architectures. | Sungwoo Park, Taekyung Kim, Jonghyun Park, Jinha Kim, Hyeonseung Im |
| 2007 | ACIVS | Gait Recognition Using Active Shape Models. | Woon Cho, Taekyung Kim, Joon Ki Paik |
| 2006 | ACIVS | A Robust Watermarking Algorithm Using Attack Pattern Analysis. | Dongeun Lee, Taekyung Kim, Seongwon Lee, Joon Ki Paik |
| 2006 | ISNN | Self-generation ART Neural Network for Character Recognition. | Taekyung Kim, Seongwon Lee, Joon Ki Paik |
| 2006 | ISVC | Adaptive Background Generation for Video Object Segmentation. | Taekyung Kim, Joon Ki Paik |
| 2006 | PSIVT | Dirty-Paper Trellis-Code Watermarking with Orthogonal Arcs. | Taekyung Kim, Taesuk Oh, Yong Cheol Kim, Seong Jong Choi |