Hyo Jin Kim

According to our database, Hyo Jin Kim authored at least 14 papers between 2015 and 2025.

Collaborative distances:

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

2025

Reading Recognition in the Wild.

Charig Yang, Samiul Alam, Shakhrul Iman Siam, Michael J. Proulx, Lambert Mathias, Kiran K. Somasundaram, Luis Pesqueira, James Fort, Sheroze Sheriffdeen, Omkar M. Parkhi, Carl Yuheng Ren, Mi Zhang, Yuning Chai, Richard A. Newcombe, Hyo Jin Kim

CoRR, May, 2025

EgoLM: Multi-Modal Language Model of Egocentric Motions.

Fangzhou Hong, Vladimir Guzov, Hyo Jin Kim, Yuting Ye, Richard A. Newcombe, Ziwei Liu, Lingni Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Nymeria: A Massive Collection of Multimodal Egocentric Daily Motion in the Wild.

Lingni Ma, Yuting Ye, Fangzhou Hong, Vladimir Guzov, Yifeng Jiang, Rowan Postyeni, Luis Pesqueira, Alexander Gamino, Vijay Baiyya, Hyo Jin Kim, Kevin Bailey, David Soriano Fosas, C. Karen Liu, Ziwei Liu, Jakob J. Engel, Renzo De Nardi, Richard A. Newcombe

Proceedings of the Computer Vision - ECCV 2024, 2024

2022

Verifiable Access Control for Augmented Reality Localization and Mapping.

Shaowei Zhu, Hyo Jin Kim, Maurizio Monge, G. Edward Suh, Armin Alaghi, Brandon Reagen, Vincent T. Lee

CoRR, 2022

Implicit Map Augmentation for Relocalization.

Yuxin Hou, Tianwei Shen, Tsun-Yi Yang, Daniel DeTone, Hyo Jin Kim, Chris Sweeney, Richard A. Newcombe

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning.

Tony Ng, Hyo Jin Kim, Vincent T. Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, Eddy Ilg, Vassileios Balntas, Krystian Mikolajczyk, Chris Sweeney

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

2021

Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors.

Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg

CoRR, 2021

Mitigating Reverse Engineering Attacks on Local Feature Descriptors.

Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Domain Adaptation of Learned Features for Visual Localization.

Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Chris Sweeney

CoRR, 2020

Domain Adaptation of Learned Featuresfor Visual Localization.

Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Christopher Sweeney

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2018

Learning Adaptive Representations for Image Retrieval and Recognition.

Hyo Jin Kim

PhD thesis, 2018

Hierarchy of Alternating Specialists for Scene Recognition.

Hyo Jin Kim, Jan-Michael Frahm

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Learned Contextual Feature Reweighting for Image Geo-Localization.

Hyo Jin Kim, Enrique Dunn, Jan-Michael Frahm

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD.

Hyo Jin Kim, Enrique Dunn, Jan-Michael Frahm

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015