Jin-Hwi Park (박진휘)

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

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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 interests lie in computer vision and AI for social good. 

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: 23.6), 2024
[Paper] / [Source Code]

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]

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]

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: 17.4), 2023
[Paper] / [Source Code]

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: 15.1), 2023
[Paper] / [Source Code]

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]

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]

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]

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]