PRISM: a system for weighted multi-color browsing of fashion products. - Donggeun Yoo; Kyunghyun Paeng; Sunggyun Park; Jungin Lee; Seungwook Paek; Sung-Eui Yoon; In-So Kweon (WWW (Companion Volume), 2014)

Fisher Kernel for Deep Neural Activations. - Donggeun Yoo; Sunggyun Park; Joon-Young Lee; In-So Kweon (CoRR, 2014)

Multi-scale pyramid pooling for deep convolutional representation. - Donggeun Yoo; Sunggyun Park; Joon-Young Lee; In So Kweon (CVPR Workshops, 2015)

AttentionNet: Aggregating Weak Directions for Accurate Object Detection. - Donggeun Yoo; Sunggyun Park; Joon-Young Lee; Anthony S. Paek; In-So Kweon (ICCV, 2015)

Learning a Deep Convolutional Network for Light-Field Image Super-Resolution. - Youngjin Yoon; Hae-Gon Jeon; Donggeun Yoo; Joon-Young Lee; In So Kweon (ICCV Workshops, 2015)

Relative attributes with deep Convolutional Neural Network. - Dong-Jin Kim 003; Donggeun Yoo; Sunghoon Im; Namil Kim; Tharatch Sirinukulwattana; In-So Kweon (URAI, 2015)

Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection. - Seokju Lee; Sungsik Huh; Donggeun Yoo; In-So Kweon; David Hyunchul Shim (URAI, 2015)

Pixel-Level Domain Transfer. - Donggeun Yoo; Namil Kim; Sunggyun Park; Anthony S. Paek; In-So Kweon (ECCV (8), 2016)

Sentence learning on deep convolutional networks for image Caption Generation. - Dong-Jin Kim 003; Donggeun Yoo; Bonggeun Sim; In-So Kweon (URAI, 2016)

Action-Driven Object Detection with Top-Down Visual Attentions. - Donggeun Yoo; Sunggyun Park; Kyunghyun Paeng; Joon-Young Lee; In-So Kweon (CoRR, 2016)

Two-Phase Learning for Weakly Supervised Object Localization. - Dahun Kim; Donghyeon Cho; Donggeun Yoo (ICCV, 2017)

Intelligent Assistant for People with Low Vision Abilities. - Oleksandr Bogdan; Oleg Yurchenko; Oleksandr Bailo; François Rameau; Donggeun Yoo; In So Kweon (PSIVT, 2017)

Two-Phase Learning for Weakly Supervised Object Localization. - Dahun Kim; Donghyeon Cho; Donggeun Yoo; In So Kweon (CoRR, 2017)

Light-Field Image Super-Resolution Using Convolutional Neural Network. - Youngjin Yoon; Hae-Gon Jeon; Donggeun Yoo; Joon-Young Lee; In So Kweon (IEEE Signal Process. Lett., 2017)

Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning. - Jongchan Park; Joon-Young Lee; Donggeun Yoo; In So Kweon (CVPR, 2018)

Learning Image Representations by Completing Damaged Jigsaw Puzzles. - Dahun Kim; Donghyeon Cho; Donggeun Yoo; In So Kweon (WACV, 2018)

Visuomotor Understanding for Representation Learning of Driving Scenes. - Seokju Lee; Junsik Kim 001; Tae-Hyun Oh; Yongseop Jeong; Donggeun Yoo; Stephen Lin 001; In So Kweon (BMVC, 2019)

Learning Loss for Active Learning. - Donggeun Yoo; In So Kweon (CVPR, 2019)

Photometric Transformer Networks and Label Adjustment for Breast Density Prediction. - Jaehwan Lee; Donggeun Yoo; Hyo-Eun Kim (ICCV Workshops, 2019)

PseudoEdgeNet: Nuclei Segmentation only with Point Annotations. - Inwan Yoo; Donggeun Yoo; Kyunghyun Paeng (MICCAI (1), 2019)

Coarse-to-Fine Clothing Image Generation with Progressively Constructed Conditional GAN. - Youngki Kwon; Soomin Kim 004; Donggeun Yoo; Sung-Eui Yoon (VISIGRAPP (4: VISAPP), 2019)

Reducing Domain Gap via Style-Agnostic Networks. - Hyeonseob Nam; HyunJae Lee; Jongchan Park; Wonjun Yoon; Donggeun Yoo (CoRR, 2019)

Learning Visual Context by Comparison. - Minchul Kim; Jongchan Park; Seil Na; Chang Min Park; Donggeun Yoo (ECCV (5), 2020)

Reducing Domain Gap by Reducing Style Bias. - Hyeonseob Nam; HyunJae Lee; Jongchan Park; Wonjun Yoon; Donggeun Yoo (CVPR, 2021)

Interactive Multi-Class Tiny-Object Detection. - Chunggi Lee; Seonwook Park; Heon Song; Jeongun Ryu; Sanghoon Kim; Haejoon Kim; Sérgio Pereira; Donggeun Yoo (CVPR, 2022)

Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. - Mingu Kang; Heon Song; Seonwook Park; Donggeun Yoo; Sérgio Pereira (CVPR, 2023)

OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. - 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 (CVPR, 2023)

Bayesian Optimization Meets Self-Distillation. - HyunJae Lee; Heon Song; Hyeonsoo Lee; Gihyeon Lee; Suyeong Park; Donggeun Yoo (ICCV, 2023)

Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning. - HyunJae Lee; Gihyeon Lee; Junhwan Kim; Sungjun Cho; Dohyun Kim; Donggeun Yoo (WACV, 2023)

Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer. - Biagio Brattoli; Mohammad Mostafavi; Taebum Lee; Wonkyung Jung; Jeongun Ryu; Seonwook Park; Jongchan Park; Sérgio Pereira; Seunghwan Shin; Sangjoon Choi; Hyojin Kim; Donggeun Yoo; et al. (CoRR, 2024)

OCELOT 2023: Cell detection from cell-tissue interaction challenge. - Jaewoong Shin; Jeongun Ryu; Aaron Valero Puche; Jinhee Lee; Biagio Brattoli; Wonkyung Jung; Soo Ick Cho; Kyunghyun Paeng; Chan-Young Ock; Donggeun Yoo; Zhaoyang Li; Wangkai Li; et al. (Medical Image Anal., 2025)