Donggeun Yoo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 35

Top Topics

Weakly Supervised

Convolutional Neural Network

Object Detection

Top Venues

Publications

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 (2024)
HyunJae Lee, Heon Song, Hyeonsoo Lee, Gihyeon Lee, Suyeong Park, Donggeun Yoo
Bayesian Optimization Meets Self-Distillation. CoRR (2023)
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. CoRR (2023)
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)
Mingu Kang, Heon Song, Seonwook Park, Donggeun Yoo, Sérgio Pereira
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. CVPR (2023)
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)
HyunJae Lee, Heon Song, Hyeonsoo Lee, Gihyeon Lee, Suyeong Park, Donggeun Yoo
Bayesian Optimization Meets Self-Distillation. ICCV (2023)
Chunggi Lee, Seonwook Park, Heon Song, Jeongun Ryu, Sanghoon Kim, Haejoon Kim, Sérgio Pereira, Donggeun Yoo
Interactive Multi-Class Tiny-Object Detection. CoRR (2022)
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 (2022)
Mingu Kang, Heon Song, Seonwook Park, Donggeun Yoo, Sérgio Pereira
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. CoRR (2022)
Chunggi Lee, Seonwook Park, Heon Song, Jeongun Ryu, Sanghoon Kim, Haejoon Kim, Sérgio Pereira, Donggeun Yoo
Interactive Multi-Class Tiny-Object Detection. CVPR (2022)
Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo
Reducing Domain Gap by Reducing Style Bias. CVPR (2021)
Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo
Learning Visual Context by Comparison. ECCV (5) (2020)
Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo
Learning Visual Context by Comparison. CoRR (2020)
Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo
Reducing Domain Gap via Style-Agnostic Networks. CoRR (2019)
Youngki Kwon, Soomin Kim, Donggeun Yoo, Sung-Eui Yoon
Coarse-to-Fine Clothing Image Generation with Progressively Constructed Conditional GAN. VISIGRAPP (4: VISAPP) (2019)
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 (2019)
Jaehwan Lee, Donggeun Yoo, Hyo-Eun Kim
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction. ICCV Workshops (2019)
Inwan Yoo, Donggeun Yoo, Kyunghyun Paeng
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations. MICCAI (1) (2019)
Donggeun Yoo, In So Kweon
Learning Loss for Active Learning. CoRR (2019)
Inwan Yoo, Donggeun Yoo, Kyunghyun Paeng
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations. CoRR (2019)
Donggeun Yoo, In So Kweon
Learning Loss for Active Learning. CVPR (2019)
Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon
Visuomotor Understanding for Representation Learning of Driving Scenes. BMVC (2019)
Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
Learning Image Representations by Completing Damaged Jigsaw Puzzles. CoRR (2018)
Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon
Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning. CoRR (2018)
Jongchan Park, Joon-Young Lee, Donggeun Yoo, In So Kweon
Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning. CVPR (2018)
Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
Learning Image Representations by Completing Damaged Jigsaw Puzzles. WACV (2018)
Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon
Two-Phase Learning for Weakly Supervised Object Localization. CoRR (2017)
Oleksandr Bogdan, Oleg Yurchenko, Oleksandr Bailo, François Rameau, Donggeun Yoo, In So Kweon
Intelligent Assistant for People with Low Vision Abilities. PSIVT (2017)
Youngjin Yoon, Hae-Gon Jeon, Donggeun Yoo, Joon-Young Lee, In So Kweon
Light-Field Image Super-Resolution Using Convolutional Neural Network. IEEE Signal Process. Lett. 24 (6) (2017)
Dahun Kim, Donghyeon Cho, Donggeun Yoo
Two-Phase Learning for Weakly Supervised Object Localization. ICCV (2017)
Donggeun Yoo, Namil Kim, Sunggyun Park, Anthony S. Paek, In-So Kweon
Pixel-Level Domain Transfer. ECCV (8) (2016)
Dong-Jin Kim, Donggeun Yoo, Bonggeun Sim, In-So Kweon
Sentence learning on deep convolutional networks for image Caption Generation. URAI (2016)
Donggeun Yoo, Sunggyun Park, Kyunghyun Paeng, Joon-Young Lee, In-So Kweon
Action-Driven Object Detection with Top-Down Visual Attentions. CoRR (2016)
Donggeun Yoo, Namil Kim, Sunggyun Park, Anthony S. Paek, In-So Kweon
Pixel-Level Domain Transfer. CoRR (2016)
Donggeun Yoo, Sunggyun Park, Joon-Young Lee, Anthony S. Paek, In-So Kweon
AttentionNet: Aggregating Weak Directions for Accurate Object Detection. ICCV (2015)
Dong-Jin Kim, Donggeun Yoo, Sunghoon Im, Namil Kim, Tharatch Sirinukulwattana, In-So Kweon
Relative attributes with deep Convolutional Neural Network. URAI (2015)
Youngjin Yoon, Hae-Gon Jeon, Donggeun Yoo, Joon-Young Lee, In So Kweon
Learning a Deep Convolutional Network for Light-Field Image Super-Resolution. ICCV Workshops (2015)
Donggeun Yoo, Sunggyun Park, Joon-Young Lee, In So Kweon
Multi-scale pyramid pooling for deep convolutional representation. CVPR Workshops (2015)
Donggeun Yoo, Sunggyun Park, Joon-Young Lee, Anthony S. Paek, In-So Kweon
AttentionNet: Aggregating Weak Directions for Accurate Object Detection. CoRR (2015)
Seokju Lee, Sungsik Huh, Donggeun Yoo, In-So Kweon, David Hyunchul Shim
Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection. URAI (2015)
Donggeun Yoo, Sunggyun Park, Joon-Young Lee, In-So Kweon
Fisher Kernel for Deep Neural Activations. CoRR (2014)
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)