Jongin Lim

Affiliations:
  • Seoul National University, ASRI, Department of Electrical and Computer Engineering, South Korea
  • Samsung Advanced Institute of Technology, South Korea


According to our database1, Jongin Lim authored at least 12 papers between 2016 and 2023.

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Bibliography

2023
Sample-wise Label Confidence Incorporation for Learning with Noisy Labels.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BiasAdv: Bias-Adversarial Augmentation for Model Debiasing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Influence-Balanced Loss for Imbalanced Visual Classification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Class-Attentive Diffusion Network for Semi-Supervised Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification.
CoRR, 2019

PMnet: Learning of Disentangled Pose and Movement for Unsupervised Motion Retargeting.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Pose transforming network: Learning to disentangle human posture in variational auto-encoded latent space.
Pattern Recognit. Lett., 2018

Selective Ensemble Network for Accurate Crowd Density Estimation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Scene conditional background update for moving object detection in a moving camera.
Pattern Recognit. Lett., 2017

2016
Attention-inspired moving object detection in monocular dashcam videos.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016


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