Junsuk Choe

According to our database, Junsuk Choe authored at least 32 papers between 2015 and 2025.

Collaborative distances:

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

2025

Improving ViT interpretability with patch-level mask prediction.

Junyong Kang, Byeongho Heo, Junsuk Choe

Pattern Recognit. Lett., 2025

Curriculum learning with class-label composition for weakly supervised semantic segmentation.

Dongjun Hwang, Hyoseo Kim, Doyeol Baek, Hyunbin Kim, Inhye Kye, Junsuk Choe

Pattern Recognit. Lett., 2025

2024

Weakly-supervised Incremental learning for Semantic segmentation with Class Hierarchy.

Hyoseo Kim, Junsuk Choe

Pattern Recognit. Lett., 2024

Discovering an inference recipe for weakly-supervised object localization.

Sanghuk Lee, Cheolhyun Mun, Youngjung Uh, Junsuk Choe, Hyeran Byun

Pattern Recognit., 2024

Sampling Bag of Views for Open-Vocabulary Object Detection.

Hojun Choi, Junsuk Choe, Hyunjung Shim

CoRR, 2024

Overcoming Domain Limitations in Open-vocabulary Segmentation.

Dongjun Hwang, Seong Joon Oh, Junsuk Choe

CoRR, 2024

NegMerge: Consensual Weight Negation for Strong Machine Unlearning.

Hyoseo Kim, Dongyoon Han, Junsuk Choe

CoRR, 2024

LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-Resolution.

Jeongsoo Kim, Jongho Nang, Junsuk Choe

CoRR, 2024

ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models.

Yeji Park, Deokyeong Lee, Junsuk Choe, Buru Chang

CoRR, 2024

Small Objects Matters in Weakly-supervised Semantic Segmentation.

Cheolhyun Mun, Sanghuk Lee, Youngjung Uh, Junsuk Choe, Hyeran Byun

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Weakly Supervised Semantic Segmentation for Driving Scenes.

Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Entropy regularization for weakly supervised object localization.

Dongjun Hwang, Jung-Woo Ha, Hyunjung Shim, Junsuk Choe

Pattern Recognit. Lett., May, 2023

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets.

Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts.

Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data.

Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Region-based dropout with attention prior for weakly supervised object localization.

Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim

Pattern Recognit., 2021

Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation.

Junsuk Choe, Seungho Lee, Hyunjung Shim

IEEE Trans. Pattern Anal. Mach. Intell., 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

Keep CALM and Improve Visual Feature Attribution.

Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh

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

Contrastive Attention Maps for Self-supervised Co-localization.

Minsong Ki, Youngjung Uh, Junsuk Choe, Hyeran Byun

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

Rethinking Spatial Dimensions of Vision Transformers.

Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh

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

Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels.

Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets.

Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim

CoRR, 2020

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods.

Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo

CoRR, 2020

Evaluating Weakly Supervised Object Localization Methods Right.

Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim

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

2019

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features.

Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe

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

Attention-Based Dropout Layer for Weakly Supervised Object Localization.

Junsuk Choe, Hyunjung Shim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Robust approach to inverse lighting using RGB-D images.

Junsuk Choe, Hyunjung Shim

Inf. Sci., 2018

Unsupervised Object Localization using Generative Adversarial Networks.

Junsuk Choe, Joo Hyun Park, Hyunjung Shim

CoRR, 2018

Improved Techniques For Weakly-Supervised Object Localization.

Junsuk Choe, Joo Hyun Park, Hyunjung Shim

CoRR, 2018

2017

Face Generation for Low-Shot Learning Using Generative Adversarial Networks.

Junsuk Choe, Song Park, Kyungmin Kim, Joo-Hyun Park, Dongseob Kim, Hyunjung Shim

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2015

Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation.

Junsuk Choe, Hyunjung Shim

Proceedings of the Computational Imaging XIII, 2015