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Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner

May 31, 2021
Chaehyeon Lee, Junghoon Seo, Heechul Jung

* 2021 CVPR Workshop 

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On the Power of Deep but Naive Partial Label Learning

Oct 22, 2020
Junghoon Seo, Joon Suk Huh

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Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector

Oct 04, 2019
Junghoon Seo, Seungwon Lee, Beomsu Kim, Taegyun Jeon

* Accepted at the 2019 NeurIPS Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response(AI+HADR 2019) 

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Deep Closed-Form Subspace Clustering

Aug 26, 2019
Junghoon Seo, Jamyoung Koo, Taegyun Jeon

* Accepted at the 2019 ICCV Workshop on Robust Subspace Learning and Applications in Computer Vision (RSL-CV 2019) 

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NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations

Aug 22, 2019
Yooseung Wang, Junghoon Seo, Taegyun Jeon

* Under review 

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Bridging Adversarial Robustness and Gradient Interpretability

Apr 19, 2019
Beomsu Kim, Junghoon Seo, Taegyun Jeon

* Accepted at the 2019 ICLR Workshop on Safe Machine Learning: Specification, Robustness, and Assurance (SafeML 2019) 

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Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps

Feb 20, 2019
Beomsu Kim, Junghoon Seo, SeungHyun Jeon, Jamyoung Koo, Jeongyeol Choe, Taegyun Jeon

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Domain Adaptive Generation of Aircraft on Satellite Imagery via Simulated and Unsupervised Learning

Jun 08, 2018
Junghoon Seo, Seunghyun Jeon, Taegyun Jeon

* presented at the International Workshop on Machine Learning for Artificial Intelligence Platforms held in 2017 Asian Conference on Machine Learning ([email protected]

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Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative

Jun 08, 2018
Junghoon Seo, Jeongyeol Choe, Jamyoung Koo, Seunghyeon Jeon, Beomsu Kim, Taegyun Jeon

* presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden 

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On reproduction of On the regularization of Wasserstein GANs

Dec 16, 2017
Junghoon Seo, Taegyun Jeon

* 9 pages, 9 figures, ICLR 2018 reproducibility challenge 

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