Seungwan Jin

Orcid: 0000-0002-0542-2793

According to our database1, Seungwan Jin authored at least 13 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2025
ICEv2: Interpretability, Comprehensiveness, and Explainability in Vision Transformer.
Int. J. Comput. Vis., May, 2025

PADO: Personality-induced multi-Agents for Detecting OCEAN in human-generated texts.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

"I Don't Know Why I Should Use This App": Holistic Analysis on User Engagement Challenges in Mobile Mental Health.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024
An Empirical Study on Social Anxiety in a Virtual Environment through Mediating Variables and Multiple Sensor Data.
Proc. ACM Hum. Comput. Interact., 2024

PREDICT: Multi-Agent-based Debate Simulation for Generalized Hate Speech Detection.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Integration of Global and Local Representations for Fine-Grained Cross-Modal Alignment.
Proceedings of the Computer Vision - ECCV 2024, 2024

Label-aware Hard Negative Sampling Strategies with Momentum Contrastive Learning for Implicit Hate Speech Detection.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A Contactless and Non-Intrusive System for Driver's Stress Detection.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Adversarial Normalization: I Can visualize Everything (ICE).
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
AI-Augmented Art Psychotherapy through a Hierarchical Co-Attention Mechanism.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
FANCY: Human-centered, Deep Learning-based Framework for Fashion Style Analysis.
Proceedings of the WWW '21: The Web Conference 2021, 2021

FashionQ: An AI-Driven Creativity Support Tool for Facilitating Ideation in Fashion Design.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
FashionQ: An Interactive Tool for Analyzing Fashion Style Trend with Quantitative Criteria.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020


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