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Jongin Lim
Jongin Lim
Samsung Advanced Institute of Technology (SAIT)
Verified email at snu.ac.kr
Title
Cited by
Cited by
Year
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
1172021
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
632017
PMnet: Learning of Disentangled Pose and Movement for Unsupervised Motion Retargeting
J Lim, HJ Chang, JY Choi
British Machine Vision Conference (BMVC) 2019, 2019
382019
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
262019
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
252022
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
122021
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
122018
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
62016
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
32023
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
32018
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
2023
Graph-based Representation Learning for Class Discriminative Feature Embedding
J Lim
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
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
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Articles 1–18