Junehyoung Kwon

According to our database, Junehyoung Kwon authored at least 20 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks.

JuneHyoung Kwon, MiHyeon Kim, Eunju Lee, JungMin Yun, Byeonggeuk Lim, YoungBin Kim

CoRR, May, 2026

Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models.

JuneHyoung Kwon, JungMin Yun, YoungBin Kim

CoRR, May, 2026

Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs.

Byeonggeuk Lim, JungMin Yun, Junehyoung Kwon, Kyeonghyun Kim, YoungBin Kim

CoRR, April, 2026

HyCal: A Training-Free Prototype Calibration Method for Cross-Discipline Few-Shot Class-Incremental Learning.

Eunju Lee, MiHyeon Kim, JuneHyoung Kwon, Yoonji Lee, JiHyun Kim, Soojin Jang, YoungBin Kim

CoRR, April, 2026

Position on LLM-Assisted Peer Review: Addressing Reviewer Gap through Mentoring and Feedback.

JungMin Yun, JuneHyoung Kwon, MiHyeon Kim, YoungBin Kim

CoRR, January, 2026

RefLens: End-to-End Evidence-Grounded Citation Verification with LLM Agents.

Seunghoo Lee, JuneHyoung Kwon, Jooweon Choi, JungMin Yun, Seunguk Yu, Yoonji Lee, Jinhee Jang, YoungBin Kim

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias.

JuneHyoung Kwon, MiHyeon Kim, Eunju Lee, Yoonji Lee, Seunghoon Lee, YoungBin Kim

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind.

Mouad Abrini, Omri Abend, Dina M. Acklin, Henny Admoni, Gregor Aichinger, Nitay Alon, Zahra Ashktorab, Ashish Atreja, Moises Auron, Alexander Aufreiter, Raghav Awasthi, Soumya Banerjee, Joseph M. Barnby, Rhea Basappa, Severin Bergsmann, Djallel Bouneffouf, Patrick Callaghan, Marc Cavazza, Thierry Chaminade, Sonia Chernova, Mohamed Chetouani, Moumita Choudhury, Axel Cleeremans, Jacek B. Cywinski, Fabio Cuzzolin, Hokin Deng, N'yoma Diamond, Camilla Di Pasquasio, Guillaume Dumas, Max J. van Duijn, Mahapatra Dwarikanath, Qingying Gao, Ashok K. Goel, Rebecca Goldstein, Matthew C. Gombolay, Gabriel Enrique Gonzalez, Amar Halilovic, Tobias Halmdienst, Mahimul Islam, Julian Jara-Ettinger, Natalie Kastel, Renana Keydar, Ashish K. Khanna, Mahdi Khoramshahi, JiHyun Kim, MiHyeon Kim, YoungBin Kim, Senka Krivic, Nikita Krasnytskyi, Arun Kumar, JuneHyoung Kwon, Eunju Lee, Shane Lee, Peter R. Lewis, Xue Li, Yijiang Li, Michal Lewandowski, Nathan Lloyd, Matthew B. Luebbers, Dezhi Luo, Haiyun Lyu, Dwarikanath Mahapatra, Kamal Maheshwari, Mallika Mainali, Piyush Mathur, Patrick Mederitsch, Shuwa Miura, Manuel Preston de Miranda, Reuth Mirsky, Shreya Mishra, Nina Moorman, Katelyn Morrison, John Muchovej, Bernhard Nessler, Felix Nessler, Hieu Minh Jord Nguyen, Abby Ortego, Francis A. Papay, Antoine Pasquali, Hamed Rahimi, Charumathi Raghu, Amanda L. Royka, Stefan Sarkadi, Jaelle Scheuerman, Simon Schmid, Paul Schrater, Anik Sen, Zahra Sheikhbahaee, Ke Shi, Reid G. Simmons, Nishant Singh, Mason O. Smith, Ramira van der Meulen, Anthia Solaki, Haoran Sun, Viktor Szolga, Matthew E. Taylor, Travis Taylor, Sanne van Waveren, Juan David Vargas

CoRR, May, 2025

Rank-O-ToM: Unlocking Emotional Nuance Ranking to Enhance Affective Theory-of-Mind.

Jihyun Kim, Junehyoung Kwon, Mihyeon Kim, Eunju Lee, YoungBin Kim

CoRR, March, 2025

Hypergraph temporal multi-behavior recommendation.

Jooweon Choi, Junehyoung Kwon, Yeonghwa Kim, Youngbin Kim

Eng. Appl. Artif. Intell., 2025

See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias.

Junehyoung Kwon, Mihyeon Kim, Eunju Lee, Juhwan Choi, YoungBin Kim

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

VolDoGER: LLM-Assisted Datasets for Domain Generalization in Vision-Language Tasks.

Juhwan Choi, Junehyoung Kwon, Jungmin Yun, Seunguk Yu, YoungBin Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

A Weakly Supervised Learning Framework Utilizing Enhanced Class Activation Map for Object Detection in Construction Sites.

Jaehun Yang, Eunju Lee, Junehyoung Kwon, Dongmin Lee, Youngbin Kim, Chansik Park, Do-Yeop Lee

IEEE Access, 2024

Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation.

Junehyoung Kwon, Eunju Lee, Yunsung Cho, YoungBin Kim

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

Beyond the Lines: Grayscale-Driven Dual-Guided GANs for Enhanced Sketch Image Colorization.

Seunghoo Lee, Junehyoung Kwon, Jooweon Choi, Mihyeon Kim, Eunju Lee, YoungBin Kim

Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

DIAL: Dense Image-Text ALignment for Weakly Supervised Semantic Segmentation.

Soojin Jang, Jungmin Yun, Junehyoung Kwon, Eunju Lee, Youngbin Kim

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Development of robust detector using the weather deep generative model for outdoor monitoring system.

Kyohoon Jin, Kyung-Su Kang, Baek-Kyun Shin, June-Hyoung Kwon, Soojin Jang, Young-Bin Kim, Han Guk Ryu

Expert Syst. Appl., December, 2023

Weakly supervised semantic segmentation via Graph RecalibratiOn with Scaling Weight uNit.

Soojin Jang, June-Hyoung Kwon, Kyohoon Jin, Young-Bin Kim

Eng. Appl. Artif. Intell., March, 2023

Enhancing Noisy Label Facial Expression Recognition With Split and Merge Consistency Regularization.

Jihyun Kim, Junehyoung Kwon, Mihyeon Kim, Eunju Lee, Youngbin Kim

IEEE Access, 2023

Domain-Adaptive Vision Transformers for Generalizing Across Visual Domains.

Yunsung Cho, Jungmin Yun, Junehyoung Kwon, Youngbin Kim

IEEE Access, 2023