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Donggeun Yoo
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2020 – today
- 2024
- [i18]Biagio Brattoli, Mohammad Mostafavi, Taebum Lee, Wonkyung Jung, Jeongun Ryu, Seonwook Park, Jongchan Park, Sérgio Pereira, Seunghwan Shin, Sangjoon Choi, Hyojin Kim, Donggeun Yoo, Siraj M. Ali, Kyunghyun Paeng, Chan-Young Ock, Soo Ick Cho, Seokhwi Kim:
Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer. CoRR abs/2407.20643 (2024) - 2023
- [c24]Mingu Kang, Heon Song, Seonwook Park
, Donggeun Yoo, Sérgio Pereira
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. CVPR 2023: 3344-3354 - [c23]Jeongun Ryu, Aaron Valero Puche, Jaewoong Shin, Seonwook Park, Biagio Brattoli, Jinhee Lee, Wonkyung Jung, Soo Ick Cho, Kyunghyun Paeng, Chan-Young Ock, Donggeun Yoo, Sérgio Pereira
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. CVPR 2023: 23902-23912 - [c22]HyunJae Lee, Heon Song, Hyeonsoo Lee, Gihyeon Lee, Suyeong Park, Donggeun Yoo:
Bayesian Optimization Meets Self-Distillation. ICCV 2023: 1696-1705 - [c21]HyunJae Lee, Gihyeon Lee, Junhwan Kim, Sungjun Cho, Dohyun Kim, Donggeun Yoo:
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning. WACV 2023: 2308-2317 - [i17]Jeongun Ryu, Aaron Valero Puche, Jaewoong Shin, Seonwook Park
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. CoRR abs/2303.13110 (2023) - [i16]HyunJae Lee, Heon Song, Hyeonsoo Lee, Gihyeon Lee, Suyeong Park, Donggeun Yoo:
Bayesian Optimization Meets Self-Distillation. CoRR abs/2304.12666 (2023) - 2022
- [c20]Chunggi Lee, Seonwook Park
Interactive Multi-Class Tiny-Object Detection. CVPR 2022: 14116-14125 - [i15]Chunggi Lee, Seonwook Park
Interactive Multi-Class Tiny-Object Detection. CoRR abs/2203.15266 (2022) - [i14]HyunJae Lee, Gihyeon Lee, Junhwan Kim, Sungjun Cho, Dohyun Kim, Donggeun Yoo:
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning. CoRR abs/2209.12499 (2022) - [i13]Mingu Kang, Heon Song, Seonwook Park
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. CoRR abs/2212.04690 (2022) - 2021
- [c19]Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo:
Reducing Domain Gap by Reducing Style Bias. CVPR 2021: 8690-8699 - 2020
- [c18]Minchul Kim
Learning Visual Context by Comparison. ECCV (5) 2020: 576-592 - [i12]Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo:
Learning Visual Context by Comparison. CoRR abs/2007.07506 (2020)
2010 – 2019
- 2019
- [c17]Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong
Visuomotor Understanding for Representation Learning of Driving Scenes. BMVC 2019: 262 - [c16]Donggeun Yoo, In So Kweon:
Learning Loss for Active Learning. CVPR 2019: 93-102 - [c15]Jaehwan Lee, Donggeun Yoo, Hyo-Eun Kim:
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction. ICCV Workshops 2019: 460-466 - [c14]Inwan Yoo, Donggeun Yoo, Kyunghyun Paeng:
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations. MICCAI (1) 2019: 731-739 - [c13]Youngki Kwon, Soomin Kim, Donggeun Yoo, Sung-Eui Yoon:
Coarse-to-Fine Clothing Image Generation with Progressively Constructed Conditional GAN. VISIGRAPP (4: VISAPP) 2019: 83-90 - [i11]Donggeun Yoo, In So Kweon:
Learning Loss for Active Learning. CoRR abs/1905.03677 (2019) - [i10]Inwan Yoo, Donggeun Yoo, Kyunghyun Paeng:
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations. CoRR abs/1906.02924 (2019) - [i9]Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon:
Visuomotor Understanding for Representation Learning of Driving Scenes. CoRR abs/1909.06979 (2019) - [i8]Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo:
Reducing Domain Gap via Style-Agnostic Networks. CoRR abs/1910.11645 (2019) - 2018
- [c12]Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon:
Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning. CVPR 2018: 5928-5936 - [c11]Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon:
Learning Image Representations by Completing Damaged Jigsaw Puzzles. WACV 2018: 793-802 - [i7]Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon:
Learning Image Representations by Completing Damaged Jigsaw Puzzles. CoRR abs/1802.01880 (2018) - [i6]Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon:
Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning. CoRR abs/1804.04450 (2018) - 2017
- [j1]Youngjin Yoon, Hae-Gon Jeon
Light-Field Image Super-Resolution Using Convolutional Neural Network. IEEE Signal Process. Lett. 24(6): 848-852 (2017) - [c10]Dahun Kim, Donghyeon Cho, Donggeun Yoo:
Two-Phase Learning for Weakly Supervised Object Localization. ICCV 2017: 3554-3563 - [c9]Oleksandr Bogdan, Oleg Yurchenko, Oleksandr Bailo, François Rameau, Donggeun Yoo, In So Kweon:
Intelligent Assistant for People with Low Vision Abilities. PSIVT 2017: 448-462 - [i5]Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon:
Two-Phase Learning for Weakly Supervised Object Localization. CoRR abs/1708.02108 (2017) - 2016
- [c8]Donggeun Yoo, Namil Kim, Sunggyun Park, Anthony S. Paek, In-So Kweon:
Pixel-Level Domain Transfer. ECCV (8) 2016: 517-532 - [c7]Dong-Jin Kim, Donggeun Yoo, Bonggeun Sim, In-So Kweon:
Sentence learning on deep convolutional networks for image Caption Generation. URAI 2016: 246-247 - [i4]Donggeun Yoo, Namil Kim, Sunggyun Park, Anthony S. Paek, In-So Kweon:
Pixel-Level Domain Transfer. CoRR abs/1603.07442 (2016) - [i3]Donggeun Yoo, Sunggyun Park, Kyunghyun Paeng, Joon-Young Lee, In-So Kweon:
Action-Driven Object Detection with Top-Down Visual Attentions. CoRR abs/1612.06704 (2016) - 2015
- [c6]Donggeun Yoo, Sunggyun Park, Joon-Young Lee, In So Kweon:
Multi-scale pyramid pooling for deep convolutional representation. CVPR Workshops 2015: 71-80 - [c5]Donggeun Yoo, Sunggyun Park, Joon-Young Lee, Anthony S. Paek, In-So Kweon:
AttentionNet: Aggregating Weak Directions for Accurate Object Detection. ICCV 2015: 2659-2667 - [c4]Youngjin Yoon, Hae-Gon Jeon
Learning a Deep Convolutional Network for Light-Field Image Super-Resolution. ICCV Workshops 2015: 57-65 - [c3]Dong-Jin Kim, Donggeun Yoo, Sunghoon Im, Namil Kim, Tharatch Sirinukulwattana, In-So Kweon:
Relative attributes with deep Convolutional Neural Network. URAI 2015: 157-158 - [c2]Seokju Lee
Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection. URAI 2015: 362-367 - [i2]Donggeun Yoo, Sunggyun Park, Joon-Young Lee, Anthony S. Paek, In-So Kweon:
AttentionNet: Aggregating Weak Directions for Accurate Object Detection. CoRR abs/1506.07704 (2015) - 2014
- [c1]Donggeun Yoo, Kyunghyun Paeng, Sunggyun Park, Jungin Lee, Seungwook Paek, Sung-Eui Yoon, In-So Kweon:
PRISM: a system for weighted multi-color browsing of fashion products. WWW (Companion Volume) 2014: 151-154 - [i1]Donggeun Yoo, Sunggyun Park, Joon-Young Lee, In-So Kweon:
Fisher Kernel for Deep Neural Activations. CoRR abs/1412.1628 (2014)
Coauthor Index
aka: In So Kweon
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