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ORCIDJongin Lim 0002
Person information
- unicode name: 임종인
- affiliation: Seoul National University, ASRI, Department of Electrical and Computer Engineering, South Korea
- affiliation: Samsung Advanced Institute of Technology, South Korea
Other persons with the same name
- Jongin Lim 0001 (aka: Jong In Lim 0001, Jong-In Lim 0001) — Korea University, Graduate School of Information Security, CIST, Seoul, South Korea
- Jong In Lim 0003
![[0000-0001-8587-4847]](/web/20180317132104*/https://developer.android.com/reference/java/sql/package-https-dblp.org/img/orcid-mark.12x12.png "0000-0001-8587-4847")
(aka: Jongin Lim 0003) — Michigan State University, Department of Communication, East Lansing, MI, USA
SPARQL queries 
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2020 – today
- 2025
[c12]Daeho Um, Jongin Lim, Sunoh Kim, Yuneil Yeo, Yoonho Jung:
Spreading Out-of-Distribution Detection on Graphs. ICLR 2025- [c11]Jongin Lim, Sucheol Lee, Daeho Um, Sung-Un Park, Jinwoo Shin:
PRIME: Deep Imbalanced Regression with Proxies. ICML 2025 - [c10]Daeho Um, Sunoh Kim, Jiwoong Park, Jongin Lim, Seong-Jin Ahn, Seulki Park:
Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features. ICML 2025 - 2023
- [c9]Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han:
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. CVPR 2023: 3832-3841 - [c8]Chanho Ahn, Kikyung Kim, Ji-Won Baek, Jongin Lim, Seungju Han:
Sample-wise Label Confidence Incorporation for Learning with Noisy Labels. ICCV 2023: 1823-1832 - 2022
- [c7]Jongin Lim, Sangdoo Yun, Seulki Park, Jin Young Choi:
Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning. CVPR 2022: 212-222 - 2021
- [c6]Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi:
Class-Attentive Diffusion Network for Semi-Supervised Classification. AAAI 2021: 8601-8609 - [c5]Seulki Park, Jongin Lim, Younghan Jeon, Jin Young Choi:
Influence-Balanced Loss for Imbalanced Visual Classification. ICCV 2021: 715-724 - [i3]Seulki Park, Jongin Lim, Younghan Jeon, Jin Young Choi:
Influence-Balanced Loss for Imbalanced Visual Classification. CoRR abs/2110.02444 (2021) - 2020
- [i2]Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi:
Class-Attentive Diffusion Network for Semi-Supervised Classification. CoRR abs/2006.10222 (2020)
2010 – 2019
- 2019
- [c4]Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi:
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification. AAAI 2019: 8859-8867 - [c3]Jongin Lim, Hyung Jin Chang, Jin Young Choi:
PMnet: Learning of Disentangled Pose and Movement for Unsupervised Motion Retargeting. BMVC 2019: Article 136 - [i1]Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi:
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification. CoRR abs/1901.06140 (2019) - 2018
- [j2]Jongin Lim, Youngjoon Yoo, Byeongho Heo, Jin Young Choi:
Pose transforming network: Learning to disentangle human posture in variational auto-encoded latent space. Pattern Recognit. Lett. 112: 91-97 (2018) - [c2]Jiyeoup Jeong, Hawook Jeong, Jongin Lim, Jongwon Choi, Sangdoo Yun, Jin Young Choi:
Selective Ensemble Network for Accurate Crowd Density Estimation. ICPR 2018: 320-325 - 2017
- [j1]Kimin Yun, Jongin Lim, Jin Young Choi:
Scene conditional background update for moving object detection in a moving camera. Pattern Recognit. Lett. 88: 57-63 (2017) - 2016
- [c1]Kimin Yun, Jongin Lim, Sangdoo Yun, Soo Wan Kim, Jin Young Choi:
Attention-inspired moving object detection in monocular dashcam videos. ICPR 2016: 2706-2711
Coauthor Index
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