VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. - Dawei Du; Yue Zhang 011; Zexin Wang 003; Zhikang Wang; Zichen Song; Ziming Liu; Liefeng Bo; Hailin Shi; Rui Zhu 005; Aashish Kumar; Aijin Li; Almaz Zinollayev; et al. (ICCV Workshops, 2019)

Scalable Neural Architecture Search for 3D Medical Image Segmentation. - Sungwoong Kim; Ildoo Kim; Sungbin Lim; Woonhyuk Baek; Chiheon Kim; Hyungjoo Cho; Boogeon Yoon; Taesup Kim (MICCAI (3), 2019)

Fast AutoAugment. - Sungbin Lim; Ildoo Kim; Taesup Kim; Chiheon Kim; Sungwoong Kim (NeurIPS, 2019)

Spatially Attentive Output Layer for Image Classification. - Ildoo Kim; Woonhyuk Baek; Sungwoong Kim (CVPR, 2020)

Learning Loss for Test-Time Augmentation. - Ildoo Kim; Younghoon Kim; Sungwoong Kim (NeurIPS, 2020)

torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models. - Chiheon Kim; Heungsub Lee; Myungryong Jeong; Woonhyuk Baek; Boogeon Yoon; Ildoo Kim; Sungbin Lim; Sungwoong Kim (CoRR, 2020)

AutoCLINT: The Winning Method in AutoCV Challenge 2019. - Woonhyuk Baek; Ildoo Kim; Sungwoong Kim; Sungbin Lim (CoRR, 2020)

Spatially Consistent Representation Learning. - Byungseok Roh; Wuhyun Shin; Ildoo Kim; Sungwoong Kim (CVPR, 2021)

ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision. - Wonjae Kim; Bokyung Son; Ildoo Kim (ICML, 2021)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 2021)

Multiscale Sample Entropy of Two-Dimensional Decaying Turbulence. - Ildoo Kim (Entropy, 2021)

LNDb challenge on automatic lung cancer patient management. - João Pedrosa; Guilherme Aresta; Carlos A. Ferreira; Gurraj Atwal; Hady Ahmady Phoulady; Xiaoyu Chen; Rongzhen Chen; Jiaoliang Li; Liansheng Wang; Adrian Galdran; Hamid Bouchachia; Krishna Chaitanya Kaluva; et al. (Medical Image Anal., 2021)

Contrastive Regularization for Semi-Supervised Learning. - Doyup Lee; Sungwoong Kim; Ildoo Kim; Yeongjae Cheon; Minsu Cho; Wook-Shin Han (CVPR Workshops, 2022)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)