Jeesoo Kim

According to our database, Jeesoo Kim authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

SAVE: Protagonist Diversification with Structure Agnostic Video Editing.

Yeji Song, Wonsik Shin, Junsoo Lee, Jeesoo Kim, Nojun Kwak

CoRR, 2023

2022

Few-Shot Image Generation with Mixup-Based Distance Learning.

Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Smoothing the Generative Latent Space with Mixup-based Distance Learning.

Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak

CoRR, 2021

Vehicle Image Generation Going Well with the Surroundings.

Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim, Nojun Kwak

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Normalization Matters in Weakly Supervised Object Localization.

Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

StackNet: Stacking feature maps for Continual learning.

Jangho Kim, Jeesoo Kim, Nojun Kwak

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Consistency-based Semi-supervised Learning for Object detection.

Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Comprehensive Overhaul of Feature Distillation.

Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

HC-Net: Memory-based Incremental Dual-Network System for Continual learning.

Jangho Kim, Jeesoo Kim, Nojun Kwak

CoRR, 2018

Generating objects going well with the surroundings.

Jeesoo Kim, Jaeyoung Yoo, Jangho Kim, Nojun Kwak

CoRR, 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

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Dynamic Graph Generation Network: Generating Relational Knowledge From Diagrams.

Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018