| 2026 | AAAI | Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning. | Jinhee Park, Hee Bin Yoo, Minjun Kim, Byoung-Tak Zhang, Junseok Kwon |
| 2025 | AAAI | Deep Disentangled Metric Learning. | Jinhee Park, Jisoo Park, Dagyeong Na, Junseok Kwon |
| 2025 | ASRU | Lightweight Wasserstein Audio-Visual Model for Unified Speech Enhancement and Separation. | Jisoo Park, Seonghak Lee, Guisik Kim, Taewoo Kim, Junseok Kwon |
| 2025 | AVSS | Occlusion-Robust Multi-Object Tracking with Adaptive Feature Management and Motion Compensation. | Jin Hong, Yoojin Han, Junseok Kwon |
| 2025 | ICDM | Towards Generalizable Time Series Forecasting Via IB-Regularized Transformer-Diffusion. | Dagyeong Na, Jinho Kang, Junseok Kwon |
| 2025 | MICCAI | Physics-Informed Neural Operators for Tissue Elasticity Reconstruction. | Youjin Kim, Jae Yong Lee, Junseok Kwon |
| 2024 | ECCV | Satellite Image Dehazing Via Masked Image Modeling and Jigsaw Transformation. | Guisik Kim, Choongsang Cho, Junseok Kwon |
| 2024 | ECCV | Optimizing Dataset Distillation Using DATM: Adjusting Learning Rate and Upper Bound. | Minjun Kim, Junhee Cho, Junseok Kwon |
| 2024 | ECCV | Uncertainty Calibration with Energy Based Instance-Wise Scaling in the Wild Dataset. | Mijoo Kim, Junseok Kwon |
| 2024 | ICDM | MRDiff: Time Series Anomaly Detection Using Multi-level Reconstruction Diffusion. | Dagyeong Na, Junseok Kwon |
| 2023 | CVPR | Deep Dehazing Powered by Image Processing Network. | Guisik Kim, Jinhee Park, Junseok Kwon |
| 2022 | ICLR | Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data. | Sung Woo Park, Kyungjae Lee, Junseok Kwon |
| 2022 | WACV | Densely-packed Object Detection via Hard Negative-Aware Anchor Attention. | Sungmin Cho, Jinwook Paeng, Junseok Kwon |
| 2021 | ICIP | Filter Pruning Via Softmax Attention. | Sungmin Cho, Hyeseong Kim, Junseok Kwon |
| 2021 | ICML | Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data. | Sung Woo Park, Junseok Kwon |
| 2021 | ICML | Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation. | Sung Woo Park, Dong Wook Shu, Junseok Kwon |
| 2020 | ACCV | Visual Tracking by TridentAlign and Context Embedding. | Janghoon Choi, Junseok Kwon, Kyoung Mu Lee |
| 2020 | BMVC | DALE : Dark Region-Aware Low-light Image Enhancement. | Dokyeong Kwon, Guisik Kim, Junseok Kwon |
| 2020 | ICIP | Upright Adjustment With Graph Convolutional Networks. | Raehyuk Jung, Sungmin Cho, Junseok Kwon |
| 2019 | CVPR | Bidirectional Deep Residual learning for Haze Removal. | Guisik Kim, Jinhee Park, Suhyeon Ha, Junseok Kwon |
| 2019 | CVPR | Sphere Generative Adversarial Network Based on Geometric Moment Matching. | Sung Woo Park, Junseok Kwon |
| 2019 | ICCV | Deep Meta Learning for Real-Time Target-Aware Visual Tracking. | Janghoon Choi, Junseok Kwon, Kyoung Mu Lee |
| 2019 | ICCV | 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions. | Dong Wook Shu, Sung Woo Park, Junseok Kwon |
| 2019 | ICIP | Learning to Remember Past to Predict Future for Visual Tracking. | Sungyong Baik, Junseok Kwon, Kyoung Mu Lee |
| 2019 | ICIP | Multi-Domain Attentive Detection Network. | Sungmin Cho, Bo Won Choi, Do-Hwi Kim, Junseok Kwon |
| 2019 | ICIP | Low-Lightgan: Low-Light Enhancement Via Advanced Generative Adversarial Network With Task-Driven Training. | Guisik Kim, Dokyeong Kwon, Junseok Kwon |
| 2019 | IJCNN | Depth-Controllable Very Deep Super-Resolution Network. | Dohyun Kim, Joongheon Kim, Junseok Kwon, Tae-Hyung Kim |
| 2018 | ICIP | Adaptive Patch Based Convolutional Neural Network for Robust Dehazing. | Guisik Kim, Suhyeon Ha, Junseok Kwon |
| 2018 | SMC | Low-Complexity Online Model Selection with Lyapunov Control for Reward Maximization in Stabilized Real-Time Deep Learning Platforms. | Dohyun Kim, Junseok Kwon, Joongheon Kim |
| 2017 | BMVC | Robust Pixel-wise Dehazing Algorithm based on Advanced Haze-Relevant Features. | Guisik Kim, Junseok Kwon |
| 2014 | CVPR | Interval Tracker: Tracking by Interval Analysis. | Junseok Kwon, Kyoung Mu Lee |
| 2014 | ECCV | Robust Visual Tracking with Double Bounding Box Model. | Junseok Kwon, Junha Roh, Kyoung Mu Lee, Luc Van Gool |
| 2014 | ECCV | Appearances Can Be Deceiving: Learning Visual Tracking from Few Trajectory Annotations. | Santiago Manen, Junseok Kwon, Matthieu Guillaumin, Luc Van Gool |
| 2013 | CVPR | Minimum Uncertainty Gap for Robust Visual Tracking. | Junseok Kwon, Kyoung Mu Lee |
| 2012 | CVPR | A unified framework for event summarization and rare event detection. | Junseok Kwon, Kyoung Mu Lee |
| 2012 | CVPR | Robust visual tracking using autoregressive hidden Markov Model. | Dong Woo Park, Junseok Kwon, Kyoung Mu Lee |
| 2011 | ICCV | Tracking by Sampling Trackers. | Junseok Kwon, Kyoung Mu Lee |
| 2010 | CVPR | Visual tracking decomposition. | Junseok Kwon, Kyoung Mu Lee |
| 2009 | CVPR | Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo sampling. | Junseok Kwon, Kyoung Mu Lee |
| 2008 | ECCV | Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation. | Junseok Kwon, Kyoung Mu Lee |