Jin-Hwi Park (박진휘)

Ph.D. Candidate    jinhwipark [at] gm.gist.ac.kr

CV(Oct 22,2024 updated) | Google Scholar | LinkedIn | Github

I received the BS dual degree in Mathematics and Convergence Software from Sogang University in 2020. I am a Ph.D. candidate at Gwangju Institute of Science and Technology, under the supervision of Prof. Hae-Gon Jeon. My research focuses on computer vision and the interdisciplinary application of AI, integrating insights from mathematics, engineering, and diverse domains to address real-world challenges.

NEWS

(Contributed as a first author)

RESEARCH INTERESTS

EDUCATION

PUBLICATIONS

[10] A Simple yet Universal Framework for Depth Completion

Jin-Hwi Park and Hae-Gon Jeon
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
[Paper] / [Source Code]

[9] What Makes Deviant Places?

Jin-Hwi Park*, Young-Jae Park*, Ilyung Cheong, Junoh Lee, Young Eun Huh, and Hae-Gon Jeon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (IF: 20.8), 2024
[Paper] / [Source Code]

[8] Depth Prompting for Sensor-agnostic Depth Estimation

Jin-Hwi Park, Chanhwi Jeong, Junoh Lee and Hae-Gon Jeon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024
[Paper] / [Source Code]

[7] Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields

Junoh Lee, Hyunjun Jung, Jin-Hwi Park, Inhwan Bae and Hae-Gon Jeon
The Twelfth International Conference on Learning Representations (ICLR), 2024
[Paper] / [Source Code]

[6] DeepGT: Deep Learning-based Quantification of Nanosized Bioparticles in Brightfield Micrographs of Gires-Tournois Biosensor

Jiwon Kang*, Young Jin Yoo*, Jin-Hwi Park*, Joo Hwan Ko, Seungtaek Kim, Stefan G. Stanciu, Harald A. Stenmark, Jin Ah Lee, Abdullah Al Mahmud, Hae-Gon Jeon and Young Min Song
Nano Today (IF: 13.2), 2023
[Paper] / [Source Code]

[5] Full-control and Switching of Optical Fano Resonance by Continuum State Engineering

Joo Hwan Ko*, Jin-Hwi Park*, Young Jin Yoo*, Sehui Chang, Jiwon Kang, Aiguo Wu, Fang Yang, Sejeong Kim, Hae-Gon Jeon and Young Min Song
Advanced Science (IF: 14.3), 2023
[Paper] / [Source Code]

[4] Learning Affinity with Hyperbolic Representation for Spatial Propagation

Jin-Hwi Park, Jaesung Choe, Inhwan Bae and Hae-Gon Jeon
The Fortieth International Conference on Machine Learning (ICML), July 2023
[Paper] / [Source Code]

[3] Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction

Inhwan Bae, Jin-Hwi Park and Hae-Gon Jeon
European Conference on Computer Vision (ECCV), Oct 2022
[Paper] / [Source Code]

[2] Non-Probability Sampling Network for Stochastic Human Trajectory Prediction

Inhwan Bae, Jin-Hwi Park and Hae-Gon Jeon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022
[Paper] / [Source Code]

[1] DevianceNet: Learning to Predict Deviance from A Large-scale Geo-tagged Dataset

Jin-Hwi Park*, Young-Jae Park*, Junoh Lee and Hae-Gon Jeon
The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Feb 2022
[Paper] / [Source Code & Dataset]

HONORS & AWARDS

PATENT

RESEARCH EXPERIENCE

Contact

Tel: +82 - 62 - 715 - 6375

Email: jinhwipark (at) gist.ac.kr

Address:

GIST, Electrical Engineering and Computer Science Building C, Room 412

123, Cheomdangwagi-ro, Buk-gu, Gwangju, Republic of Korea