Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams. - Daesik Kim; Youngjoon Yoo; Jeesoo Kim; Sangkuk Lee; Nojun Kwak (CVPR, 2018)

Analyzing and modeling the impact of memory latency and bandwidth on application performance. - Myonghoon Oh; Jongmoo Choi; Seong-je Cho; Jeesoo Kim; Changhwan Youn; Woosuk Chung (SAC, 2018)

Generating objects going well with the surroundings. - Jeesoo Kim; Jaeyoung Yoo; Jangho Kim; Nojun Kwak (CoRR, 2018)

HC-Net: Memory-based Incremental Dual-Network System for Continual learning. - Jangho Kim; Jeesoo Kim; Nojun Kwak (CoRR, 2018)

A Comprehensive Overhaul of Feature Distillation. - Byeongho Heo; Jeesoo Kim; Sangdoo Yun; Hyojin Park 001; Nojun Kwak; Jin Young Choi 002 (ICCV, 2019)

Consistency-based Semi-supervised Learning for Object detection. - Jisoo Jeong; Seungeui Lee; Jeesoo Kim; Nojun Kwak (NeurIPS, 2019)

StackNet: Stacking feature maps for Continual learning. - Jangho Kim; Jeesoo Kim; Nojun Kwak (CVPR Workshops, 2020)

Normalization Matters in Weakly Supervised Object Localization. - Jeesoo Kim; Junsuk Choe; Sangdoo Yun; Nojun Kwak (ICCV, 2021)

Vehicle Image Generation Going Well with the Surroundings. - Jeesoo Kim; Jangho Kim; Jaeyoung Yoo; Daesik Kim; Nojun Kwak (ICONIP (4), 2021)

Smoothing the Generative Latent Space with Mixup-based Distance Learning. - Chaerin Kong; Jeesoo Kim; Donghoon Han; Nojun Kwak (CoRR, 2021)

Few-Shot Image Generation with Mixup-Based Distance Learning. - Chaerin Kong; Jeesoo Kim; Donghoon Han; Nojun Kwak (ECCV (15), 2022)

SAVE: Protagonist Diversification with Structure Agnostic Video Editing. - Yeji Song; Wonsik Shin; Junsoo Lee; Jeesoo Kim; Nojun Kwak (ECCV (80), 2024)

TPD-STR: Text Polygon Detection with Split Transformers. - Sangyeon Kim; Sangkuk Lee; Jeesoo Kim; Nojun Kwak (WACV, 2025)