| Influence-balanced loss for imbalanced visual classification S Park, J Lim, Y Jeon, JY Choi Proceedings of the IEEE/CVF international conference on computer vision, 735-744, 2021 | 185 | 2021 |
| Scene conditional background update for moving object detection in a moving camera K Yun, J Lim, JY Choi Pattern Recognition Letters 88, 57-63, 2017 | 63 | 2017 |
| PMnet: Learning of Disentangled Pose and Movement for Unsupervised Motion Retargeting J Lim, HJ Chang, JY Choi British Machine Vision Conference (BMVC) 2019, 2019 | 56 | 2019 |
| Hypergraph-induced semantic tuplet loss for deep metric learning J Lim, S Yun, S Park, JY Choi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 40 | 2022 |
| Biasadv: Bias-adversarial augmentation for model debiasing J Lim, Y Kim, B Kim, C Ahn, J Shin, E Yang, S Han Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 25 | 2023 |
| Backbone cannot be trained at once: Rolling back to pre-trained network for person re-identification Y Ro, J Choi, DU Jo, B Heo, J Lim, JY Choi Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8859-8867, 2019 | 24 | 2019 |
| Class-attentive diffusion network for semi-supervised classification J Lim, D Um, HJ Chang, DU Jo, JY Choi Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8601-8609, 2021 | 15 | 2021 |
| Pose transforming network: Learning to disentangle human posture in variational auto-encoded latent space J Lim, Y Yoo, B Heo, JY Choi Pattern Recognition Letters 112, 91-97, 2018 | 12 | 2018 |
| Sample-wise label confidence incorporation for learning with noisy labels C Ahn, K Kim, J Baek, J Lim, S Han Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Attention-inspired moving object detection in monocular dashcam videos K Yun, J Lim, S Yun, SW Kim, JY Choi 2016 23rd International Conference on Pattern Recognition (ICPR), 2706-2711, 2016 | 6 | 2016 |
| Selective ensemble network for accurate crowd density estimation J Jeong, H Jeong, J Lim, J Choi, S Yun, JY Choi 2018 24th International Conference on Pattern Recognition (ICPR), 320-325, 2018 | 5 | 2018 |
| Graph-based Representation Learning for Class Discriminative Feature Embedding 임종인 서울대학교 대학원, 2022 | | 2022 |
| Skeleton-based action recognition exploiting acceleration and orientation of joints H Park, J Lim, JY Choi 대한전자공학회 학술대회, 1020-1022, 2019 | | 2019 |
| Situation-aware framework for moving object detection in moving cameras K Yun, J Lim, JY Choi 8th International Conference of Pattern Recognition Systems (ICPRS 2017), 1-6, 2017 | | 2017 |
| GITD: Enhancing Medical Classification on Tabular Data with Missing Values via Graph Modeling D Um, JW Yoon, S Kim, J Lim, Y Yeo, SJ Ahn | | |
| Low Variance: A Bottleneck in Diffusion-Based Graph Imputation D Um, S Kim, J Park, J Lim, SJ Ahn, S Park | | |
| Sample-wise Label Confidence Incorporation for Learning with Noisy Labels: Supplementary Material C Ahn, K Kim, J Baek, J Lim, S Han | | |
| BiasAdv: Bias-Adversarial Augmentation for Model Debiasing-Supplementary Material J Lim, Y Kim, B Kim, C Ahn, J Shin, E Yang, S Han | | |
| Influence-balanced loss for imbalanced visual classification | | |
| Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning-Supplementary Material J Lim, S Yun, S Park, JY Choi | | |
jin young choiprofessor of electrical and computer engineering, seoul national universityVahvistettu sähköpostiosoite verkkotunnuksessa snu.ac.kr
