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2020 – today
- 2024
[i21]Yong-Hyun Park, Junghoon Seo, Bomseok Park, Seongsu Lee, Junghyo Jo:
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment. CoRR abs/2407.12401 (2024)- [i20]Keumgang Cha, Donggeun Yu, Junghoon Seo:
Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations. CoRR abs/2409.07048 (2024) - [i19]Doyi Kim, Minseok Seo, Hakjin Lee, Junghoon Seo:
Masked Autoregressive Model for Weather Forecasting. CoRR abs/2409.20117 (2024) - 2023
- [c7]Minseok Seo, Hakjin Lee, Yongjin Jeon, Junghoon Seo:
Self-Pair: Synthesizing Changes from Single Source for Object Change Detection in Remote Sensing Imagery. WACV 2023: 6363-6372 - [i18]Minseok Seo, Hakjin Lee, Doyi Kim, Junghoon Seo:
Implicit Stacked Autoregressive Model for Video Prediction. CoRR abs/2303.07849 (2023) - [i17]Keumgang Cha, Junghoon Seo, Taekyung Lee:
A Billion-scale Foundation Model for Remote Sensing Images. CoRR abs/2304.05215 (2023) - [i16]Junhwa Song, Keumgang Cha, Junghoon Seo:
On Pitfalls of RemOve-And-Retrain: Data Processing Inequality Perspective. CoRR abs/2304.13836 (2023) - [i15]Hakjin Lee, Minki Song, Jamyoung Koo, Junghoon Seo:
Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer. CoRR abs/2305.07598 (2023) - [i14]Youngtack Oh, Minseok Seo, Doyi Kim, Junghoon Seo:
Prototype-oriented Unsupervised Change Detection for Disaster Management. CoRR abs/2310.09759 (2023) - 2022
- [j5]Seunghyoung Ryu
, Jiyeon Yim, Junghoon Seo, Yonggyun Yu, Hogeon Seo:
Quantile Autoencoder With Abnormality Accumulation for Anomaly Detection of Multivariate Sensor Data. IEEE Access 10: 70428-70439 (2022) - [j4]Keumgang Cha, Junghoon Seo, Yeji Choi:
Contrastive Multiview Coding With Electro-Optics for SAR Semantic Segmentation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j3]Yooseung Wang, Junghoon Seo, Taegyun Jeon:
NL-LinkNet: Toward Lighter But More Accurate Road Extraction With Nonlocal Operations. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j2]Junghoon Seo, Wonkyu Park, Taejung Kim:
Feature-Based Approach to Change Detection of Small Objects from High-Resolution Satellite Images. Remote. Sens. 14(3): 462 (2022) - [c6]Beomsu Kim, Junghoon Seo:
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness. AISTATS 2022: 4426-4445 - [i13]Beomsu Kim, Junghoon Seo:
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness. CoRR abs/2202.10523 (2022) - [i12]Minseok Seo, Hakjin Lee, Yongjin Jeon, Junghoon Seo:
Self-Pair: Synthesizing Changes from Single Source for Object Change Detection in Remote Sensing Imagery. CoRR abs/2212.10236 (2022) - 2021
- [j1]Pyung-Chae Lim, Sooahm Rhee, Junghoon Seo, Jae-In Kim, Junhwa Chi, Suk-bae Lee, Taejung Kim:
An Optimal Image-Selection Algorithm for Large-Scale Stereoscopic Mapping of UAV Images. Remote. Sens. 13(11): 2118 (2021) - [c5]Chaehyeon Lee, Junghoon Seo, Heechul Jung:
Training Domain-Invariant Object Detector Faster With Feature Replay and Slow Learner. CVPR Workshops 2021: 1172-1181 - [c4]Junghoon Seo, Joon Suk Huh:
On The Power of Deep But Naive Partial Label Learning. ICASSP 2021: 3820-3824 - [i11]Chaehyeon Lee, Junghoon Seo, Heechul Jung:
Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner. CoRR abs/2105.14693 (2021) - [i10]Keumgang Cha, Junghoon Seo, Yeji Choi:
Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation. CoRR abs/2109.00120 (2021) - 2020
- [i9]Junghoon Seo, Joon Suk Huh:
On the Power of Deep but Naive Partial Label Learning. CoRR abs/2010.11600 (2020)
2010 – 2019
- 2019
- [c3]Junghoon Seo, Jamyoung Koo, Taegyun Jeon:
Deep Closed-Form Subspace Clustering. ICCV Workshops 2019: 633-642 - [c2]Beomsu Kim, Junghoon Seo, Seunghyeon Jeon, Jamyoung Koo, Jeongyeol Choe, Taegyun Jeon:
Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps. ICCV Workshops 2019: 4149-4157 - [i8]Beomsu Kim, Junghoon Seo, Seunghyun Jeon, Jamyoung Koo, Jeongyeol Choe, Taegyun Jeon:
Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps. CoRR abs/1902.04893 (2019) - [i7]Beomsu Kim, Junghoon Seo, Taegyun Jeon:
Bridging Adversarial Robustness and Gradient Interpretability. CoRR abs/1903.11626 (2019) - [i6]Yooseung Wang, Junghoon Seo, Taegyun Jeon:
NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations. CoRR abs/1908.08223 (2019) - [i5]Junghoon Seo, Jamyoung Koo, Taegyun Jeon:
Deep Closed-Form Subspace Clustering. CoRR abs/1908.09419 (2019) - [i4]Junghoon Seo, Seungwon Lee, Beomsu Kim, Taegyun Jeon:
Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector. CoRR abs/1910.01911 (2019) - 2018
- [c1]Jamyoung Koo, Junghoon Seo, Seunghyun Jeon, Jeongyeol Choe, Taegyun Jeon:
RBox-CNN: rotated bounding box based CNN for ship detection in remote sensing image. SIGSPATIAL/GIS 2018: 420-423 - [i3]Junghoon Seo, Jeongyeol Choe, Jamyoung Koo, Seunghyeon Jeon, Beomsu Kim, Taegyun Jeon:
Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative. CoRR abs/1806.03000 (2018) - [i2]Junghoon Seo, Seunghyun Jeon, Taegyun Jeon:
Domain Adaptive Generation of Aircraft on Satellite Imagery via Simulated and Unsupervised Learning. CoRR abs/1806.03002 (2018) - 2017
- [i1]Junghoon Seo, Taegyun Jeon:
On reproduction of On the regularization of Wasserstein GANs. CoRR abs/1712.05882 (2017)
Coauthor Index
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