Inseop Chung

According to our database, Inseop Chung authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Mitigating the Bias in the Model for Continual Test-Time Adaptation.

Inseop Chung, Kyomin Hwang, Jayeon Yoo, Nojun Kwak

CoRR, 2024

What, How, and When Should Object Detectors Update in Continually Changing Test Domains?

Jayeon Yoo, Dongkwan Lee, Inseop Chung, Donghyun Kim, Nojun Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments.

DongKi Noh, Changki Sung, Teayoung Uhm, Wooju Lee, Hyungtae Lim, Jaeseok Choi, Kyuewang Lee, Dasol Hong, Daeho Um, Inseop Chung, Hochul Shin, Min-Jung Kim, Hyoung-Rock Kim, SeungMin Baek, Hyun Myung

IEEE Robotics Autom. Lett., 2023

Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features.

Inseop Chung, KiYoon Yoo, Nojun Kwak

CoRR, 2023

Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation.

Inseop Chung, Jayeon Yoo, Nojun Kwak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

End-to-End Multi-Object Detection with a Regularized Mixture Model.

Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak

Proceedings of the International Conference on Machine Learning, 2023

2022

Sparse MDOD: Training End-to-End Multi-Object Detector without Bipartite Matching.

Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak

CoRR, 2022

Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation.

Inseop Chung, Daesik Kim, Nojun Kwak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Personalized Keyword Spotting through Multi-task Learning.

Seunghan Yang, Byeonggeun Kim, Inseop Chung, Simyung Chang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting.

Byeonggeun Kim, Seunghan Yang, Inseop Chung, Simyung Chang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box.

Jayeon Yoo, Inseop Chung, Nojun Kwak

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image.

Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak

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

2020

Feature Fusion for Online Mutual Knowledge Distillation.

Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Feature-map-level Online Adversarial Knowledge Distillation.

Inseop Chung, Seonguk Park, Jangho Kim, Nojun Kwak

Proceedings of the 37th International Conference on Machine Learning, 2020