Jin-Hwi Park

According to our database, Jin-Hwi Park authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

When Sinks Help or Hurt: Unified Framework for Attention Sink in Large Vision-Language Models.

Jiho Choi, Jaemin Kim, Sanghwan Kim, Seunghoon Hong, Jin-Hwi Park

CoRR, April, 2026

TinyGate: A Confidence-Aware Lightweight Framework for Real-Time EEG Dementia Screening.

Hyeonseo Jo, Injae Lee, Jin-Hwi Park, Young Chul Youn, Joonki Paik

Proceedings of the IEEE International Conference on Consumer Electronics, 2026

2025

Test-Time Prompt Tuning for Zero-Shot Depth Completion.

Chanhwi Jeong, Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon

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

2024

What Makes Deviant Places?

Jin-Hwi Park, Youngjae Park, Ilyung Cheong, Junoh Lee, Young Eun Huh, Hae-Gon Jeon

IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

A Simple yet Universal Framework for Depth Completion.

Jin-Hwi Park, Hae-Gon Jeon

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields.

Junoh Lee, Hyunjun Jung, Jin-Hwi Park, Inhwan Bae, Hae-Gon Jeon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Depth Prompting for Sensor-Agnostic Depth Estimation.

Jin-Hwi Park, Chanhwi Jeong, Junoh Lee, Hae-Gon Jeon

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

2023

Learning Affinity with Hyperbolic Representation for Spatial Propagation.

Jin-Hwi Park, Jaesung Choe, Inhwan Bae, Hae-Gon Jeon

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction.

Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon

Proceedings of the Computer Vision - ECCV 2022, 2022

Non-Probability Sampling Network for Stochastic Human Trajectory Prediction.

Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon

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

DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset.

Jin-Hwi Park, Young-Jae Park, Junoh Lee, Hae-Gon Jeon

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022