Junsuk Choe - RankMe

55 papers A* 13A 1Journal 38Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Multi-Image Understanding through Delimiter Token Scaling. CoRR Minyoung Lee, Yeji Park, Dongjun Hwang, Yejin Kim, Seong Joon Oh, Junsuk Choe
2026	J	`jnl`	Knowledge Vector Weakening: Efficient Training-free Unlearning for Large Vision-Language Models. CoRR Yejin Kim, Dongjun Hwang, Sungmin Cha, Junsuk Choe
2025	A*	`conf`	ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models. AAAI Yeji Park, Deokyeong Lee, Junsuk Choe, Buru Chang
2025	J	`jnl`	Curriculum learning with class-label composition for weakly supervised semantic segmentation. Pattern Recognit. Lett. Dongjun Hwang, Hyoseo Kim, Doyeol Baek, Hyunbin Kim, Inhye Kye, Junsuk Choe
2025	J	`jnl`	Fog-free training for foggy scene understanding. Pattern Recognit. Lett. Minyoung Lee, Kyungwoo Song, Junsuk Choe
2025	J	`jnl`	Improving Fisher Information Estimation and Efficiency for LoRA-based LLM Unlearning. CoRR Yejin Kim, Eunwon Kim, Buru Chang, Junsuk Choe
2025	J	`jnl`	Improving ViT interpretability with patch-level mask prediction. Pattern Recognit. Lett. Junyong Kang, Byeongho Heo, Junsuk Choe
2025	—	`conf`	LMLT: Low-to-high Multi-Level Vision Transformer for Lightweight Image Super- Resolution. ICCVW Jeongsoo Kim, Jongho Nang, Junsuk Choe
2025	J	`jnl`	Mitigating Cross-Image Information Leakage in LVLMs for Multi-Image Tasks. CoRR Yeji Park, Minyoung Lee, Sanghyuk Chun, Junsuk Choe
2025	A*	`conf`	NegMerge: Sign-Consensual Weight Merging for Machine Unlearning. ICML Hyoseo Kim, Dongyoon Han, Junsuk Choe
2025	J	`jnl`	Rethinking the Use of Vision Transformers for AI-Generated Image Detection. CoRR NaHyeon Park, Kunhee Kim, Junsuk Choe, Hyunjung Shim
2025	J	`jnl`	Small object matters in weakly supervised object localization. Neurocomputing Dongjun Hwang, Seong Joon Oh, Junsuk Choe
2025	J	`jnl`	VHOIP: Video-based Human-Object Interaction recognition with CLIP Prior knowledge. Pattern Recognit. Lett. Doyeol Baek, Junsuk Choe
2025	J	`jnl`	What "Not" to Detect: Negation-Aware VLMs via Structured Reasoning and Token Merging. CoRR Inha Kang, Youngsun Lim, Seonho Lee, Jiho Choi, Junsuk Choe, Hyunjung Shim
2024	J	`jnl`	ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models. CoRR Yeji Park, Deokyeong Lee, Junsuk Choe, Buru Chang
2024	J	`jnl`	Discovering an inference recipe for weakly-supervised object localization. Pattern Recognit. Sanghuk Lee, Cheolhyun Mun, Youngjung Uh, Junsuk Choe, Hyeran Byun
2024	J	`jnl`	LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-Resolution. CoRR Jeongsoo Kim, Jongho Nang, Junsuk Choe
2024	J	`jnl`	NegMerge: Consensual Weight Negation for Strong Machine Unlearning. CoRR Hyoseo Kim, Dongyoon Han, Junsuk Choe
2024	J	`jnl`	Overcoming Domain Limitations in Open-vocabulary Segmentation. CoRR Dongjun Hwang, Seong Joon Oh, Junsuk Choe
2024	J	`jnl`	Sampling Bag of Views for Open-Vocabulary Object Detection. CoRR Hojun Choi, Junsuk Choe, Hyunjung Shim
2024	A	`conf`	Small Objects Matters in Weakly-supervised Semantic Segmentation. WACV Cheolhyun Mun, Sanghuk Lee, Youngjung Uh, Junsuk Choe, Hyeran Byun
2024	A*	`conf`	Weakly Supervised Semantic Segmentation for Driving Scenes. AAAI Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim
2024	J	`jnl`	Weakly-supervised Incremental learning for Semantic segmentation with Class Hierarchy. Pattern Recognit. Lett. Hyoseo Kim, Junsuk Choe
2023	J	`jnl`	Entropy regularization for weakly supervised object localization. Pattern Recognit. Lett. Dongjun Hwang, Jung-Woo Ha, Hyunjung Shim, Junsuk Choe
2023	J	`jnl`	Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim
2023	A*	`conf`	Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts. ICCV Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh
2023	J	`jnl`	Neglected Free Lunch; Learning Image Classifiers Using Annotation Byproducts. CoRR Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh
2023	J	`jnl`	Small Objects Matters in Weakly-supervised Semantic Segmentation. CoRR Cheolhyun Mun, Sanghuk Lee, Youngjung Uh, Junsuk Choe, Hyeran Byun
2023	J	`jnl`	Weakly Supervised Semantic Segmentation for Driving Scenes. CoRR Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim
2022	A*	`conf`	Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
2022	J	`jnl`	Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
2021	J	`jnl`	Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Junsuk Choe, Seungho Lee, Hyunjung Shim
2021	A*	`conf`	Contrastive Attention Maps for Self-supervised Co-localization. ICCV Minsong Ki, Youngjung Uh, Junsuk Choe, Hyeran Byun
2021	A*	`conf`	Keep CALM and Improve Visual Feature Attribution. ICCV Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh
2021	J	`jnl`	Keep CALM and Improve Visual Feature Attribution. CoRR Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh
2021	A*	`conf`	Normalization Matters in Weakly Supervised Object Localization. ICCV Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak
2021	J	`jnl`	Normalization Matters in Weakly Supervised Object Localization. CoRR Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak
2021	A*	`conf`	Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. CVPR Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
2021	J	`jnl`	Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels. CoRR Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun
2021	J	`jnl`	Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim
2021	A*	`conf`	Rethinking Spatial Dimensions of Vision Transformers. ICCV Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
2021	J	`jnl`	Rethinking Spatial Dimensions of Vision Transformers. CoRR Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh
2020	J	`jnl`	An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo
2020	A*	`conf`	Evaluating Weakly Supervised Object Localization Methods Right. CVPR Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	J	`jnl`	Evaluating Weakly Supervised Object Localization Methods Right. CoRR Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	J	`jnl`	Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2019	A*	`conf`	Attention-Based Dropout Layer for Weakly Supervised Object Localization. CVPR Junsuk Choe, Hyunjung Shim
2019	J	`jnl`	Attention-based Dropout Layer for Weakly Supervised Object Localization. CoRR Junsuk Choe, Hyunjung Shim
2019	A*	`conf`	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. ICCV Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe
2019	J	`jnl`	CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo
2018	J	`jnl`	Improved Techniques For Weakly-Supervised Object Localization. CoRR Junsuk Choe, Joo Hyun Park, Hyunjung Shim
2018	J	`jnl`	Robust approach to inverse lighting using RGB-D images. Inf. Sci. Junsuk Choe, Hyunjung Shim
2018	J	`jnl`	Unsupervised Object Localization using Generative Adversarial Networks. CoRR Junsuk Choe, Joo Hyun Park, Hyunjung Shim
2017	—	`conf`	Face Generation for Low-Shot Learning Using Generative Adversarial Networks. ICCV Workshops Junsuk Choe, Song Park, Kyungmin Kim, Joo-Hyun Park, Dongseob Kim, Hyunjung Shim
2015	—	`conf`	Inverse lighting for non-homogeneous objects from color and depth image using wavelet representation. Computational Imaging Junsuk Choe, Hyunjung Shim