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Woo-Jeoung Nam

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2020 – today

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2024
[j11]
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Ho Kyung Shin, Woo-Jeoung Nam:
Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units. J. Comput. Sci. Eng. 18(1): 19-28 (2024)
[j10]
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Kyung-Min Jin, Gun-Hee Lee, Woo-Jeoung Nam, Tae-Kyung Kang, Hyun-Woo Kim, Seong-Whan Lee:
Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videos. Neural Networks 169: 282-292 (2024)
[j9]
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Hyun-Woo Kim, Gun-Hee Lee, Woo-Jeoung Nam, Kyung-Min Jin, Tae-Kyung Kang, Geon-Jun Yang, Seong-Whan Lee:
MHCanonNet: Multi-Hypothesis Canonical lifting Network for self-supervised 3D human pose estimation in the wild video. Pattern Recognit. 145: 109908 (2024)
[j8]
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Suneung Kim, Woo-Jeoung Nam, Seong-Whan Lee:
Appearance debiased gaze estimation via stochastic subject-wise adversarial learning. Pattern Recognit. 152: 110441 (2024)
[i10]
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  - journals/corr/abs-2401-13865
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Suneung Kim, Woo-Jeoung Nam, Seong-Whan Lee:
Appearance Debiased Gaze Estimation via Stochastic Subject-Wise Adversarial Learning. CoRR abs/2401.13865 (2024)
2023
[j7]
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  - journals/eswa/KimNML23
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Young-Eun Kim, Woo-Jeoung Nam, Kyungseo Min, Seong-Whan Lee:
Style selective normalization with meta learning for test-time adaptive face anti-spoofing. Expert Syst. Appl. 214: 119106 (2023)
[j6]
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  - journals/eswa/NaNL23
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Seung-Hyup Na, Woo-Jeoung Nam, Seong-Whan Lee:
Toward practical and plausible counterfactual explanation through latent adjustment in disentangled space. Expert Syst. Appl. 233: 120982 (2023)
[j5]
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  - journals/ijon/JungNKL23
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Honggyu Jung, Woo-Jeoung Nam, Hyun-Woo Kim, Seong-Whan Lee:
Weakly supervised thoracic disease localization via disease masks. Neurocomputing 517: 34-43 (2023)
[j4]
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  - journals/ijon/HyunNL23
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Wooyeol Hyun, Woo-Jeoung Nam, Seong-Whan Lee:
Dissimilate-and-assimilate strategy for video anomaly detection and localization. Neurocomputing 522: 203-213 (2023)
[c11]
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  - conf/aaai/HongNJL23
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Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon, Seong-Whan Lee:
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance. AAAI 2023: 7884-7892
[c10]
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  - conf/icassp/WooNJL23
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Tae-Jin Woo, Woo-Jeoung Nam, Yeong-Joon Ju, Seong-Whan Lee:
Compensatory Debiasing For Gender Imbalances In Language Models. ICASSP 2023: 1-5
[c9]
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  - conf/pakdd/KimNL23
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Tae-Hyung Kim, Woo-Jeoung Nam, Seong-Whan Lee:
Enhancing Robustness of Prototype with Attentive Information Guided Alignment in Few-Shot Classification. PAKDD (1) 2023: 183-194
[i9]
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  - journals/corr/abs-2312-14201
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Jung-Ho Hong, Woo-Jeoung Nam, Kyu-Sung Jeon, Seong-Whan Lee:
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance. CoRR abs/2312.14201 (2023)
2022
[j3]
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  - journals/taslp/LeeNNL22
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Sang-Hoon Lee, Hyeong-Rae Noh, Woo-Jeoung Nam, Seong-Whan Lee:
Duration Controllable Voice Conversion via Phoneme-Based Information Bottleneck. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1173-1183 (2022)
[c8]
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  - conf/avss/HanNL22
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Ji-Hoon Han, Woo-Jeoung Nam, Seong-Whan Lee:
SAR Image Denoising in High Dynamic Range with Speckle and Thermal Noise Refinement Modeling. AVSS 2022: 1-8
[c7]
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  - conf/icpr/LeeNL22
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Joo-Yeon Lee, Woo-Jeoung Nam, Seong-Whan Lee:
Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection. ICPR 2022: 1012-1018
[c6]
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Sueyeon Kim, Woo-Jeoung Nam, Seong-Whan Lee:
Few-Shot Object Detection with Proposal Balance Refinement. ICPR 2022: 4700-4707
[c5]
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  - conf/smc/HyunNLL22
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Wooyeol Hyun, Woo-Jeoung Nam, Jooyeon Lee, Seong-Whan Lee:
Learning Temporal Context of Normality for Unsupervised Anomaly Detection in Videos. SMC 2022: 3261-3266
[i8]
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  - journals/corr/abs-2204-10527
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Sueyeon Kim, Woo-Jeoung Nam, Seong-Whan Lee:
Few-Shot Object Detection with Proposal Balance Refinement. CoRR abs/2204.10527 (2022)
[i7]
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  - journals/corr/abs-2205-11109
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Woo-Jeoung Nam, Seong-Whan Lee:
Gradient Hedging for Intensively Exploring Salient Interpretation beyond Neuron Activation. CoRR abs/2205.11109 (2022)
[i6]
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  - journals/corr/abs-2206-08568
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Joo-Yeon Lee, Woo-Jeoung Nam, Seong-Whan Lee:
Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection. CoRR abs/2206.08568 (2022)
2021
[c4]
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  - conf/aaai/NamCL21
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Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee:
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. AAAI 2021: 11604-11612
[i5]
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  - journals/corr/abs-2107-08767
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Woo-Jeoung Nam, Seong-Whan Lee:
Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units. CoRR abs/2107.08767 (2021)
2020
[j2]
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  - journals/remotesensing/YunNL20
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Min-Sub Yun, Woo-Jeoung Nam, Seong-Whan Lee:
Coarse-to-Fine Deep Metric Learning for Remote Sensing Image Retrieval. Remote. Sens. 12(2): 219 (2020)
[j1]
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  - journals/remotesensing/ParkNL20
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Jae-Hyun Park, Woo-Jeoung Nam, Seong-Whan Lee:
A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching. Remote. Sens. 12(3): 465 (2020)
[c3]
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  - conf/aaai/NamGCWL20
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Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee:
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. AAAI 2020: 2501-2508
[c2]
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  - conf/icpr/ChungNL20
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Hyunseung Chung, Woo-Jeoung Nam, Seong-Whan Lee:
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning. ICPR 2020: 6431-6438
[i4]
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  - journals/corr/abs-2002-01325
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Jae-Hyun Park, Woo-Jeoung Nam, Seong-Whan Lee:
A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching. CoRR abs/2002.01325 (2020)
[i3]
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  - journals/corr/abs-2010-09202
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Hyunseung Chung, Woo-Jeoung Nam, Seong-Whan Lee:
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning. CoRR abs/2010.09202 (2020)
[i2]
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  - journals/corr/abs-2012-03434
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Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee:
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. CoRR abs/2012.03434 (2020)

2010 – 2019

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2019
[c1]
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  - conf/smc/KimNL19
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Dong-Geon Kim, Woo-Jeoung Nam, Seong-Whan Lee:
A Robust Matching Network for Gradually Estimating Geometric Transformation on Remote Sensing Imagery. SMC 2019: 3889-3894
[i1]
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  - journals/corr/abs-1904-00605
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Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee:
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. CoRR abs/1904.00605 (2019)

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