Geonmo Gu

According to our database, Geonmo Gu authored at least 24 papers between 2015 and 2024.

Collaborative distances:

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

2024

CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion.

Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun

Trans. Mach. Learn. Res., 2024

Language-only Efficient Training of Zero-shot Composed Image Retrieval.

Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun

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

2022

Group Generalized Mean Pooling for Vision Transformer.

Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim

CoRR, 2022

Large-scale Bilingual Language-Image Contrastive Learning.

ByungSoo Ko, Geonmo Gu

CoRR, 2022

Efficient Graph Isomorphism Query Processing using Degree Sequences and Color-Label Distributions.

Geonmo Gu, Yehyun Nam, Kunsoo Park, Zvi Galil, Giuseppe F. Italiano, Wook-Shin Han

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Deep Hash Distillation for Image Retrieval.

Young Kyun Jang, Geonmo Gu, ByungSoo Ko, Isaac Kang, Nam Ik Cho

Proceedings of the Computer Vision - ECCV 2022, 2022

Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks.

Jon Almazán, ByungSoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Light-Weight and Real-Time Line Segment Detection.

Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin

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

2021

Fast algorithms for single and multiple pattern Cartesian tree matching.

Siwoo Song, Geonmo Gu, Cheol Ryu, Simone Faro, Thierry Lecroq, Kunsoo Park

Theor. Comput. Sci., 2021

Self-Distilled Hashing for Deep Image Retrieval.

Young Kyun Jang, Geonmo Gu, ByungSoo Ko, Nam Ik Cho

CoRR, 2021

Towards Real-time and Light-weight Line Segment Detection.

Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin

CoRR, 2021

RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network.

Minchul Shin, Yoonjae Cho, ByungSoo Ko, Geonmo Gu

CoRR, 2021

Scalable Graph Isomorphism: Combining Pairwise Color Refinement and Backtracking via Compressed Candidate Space.

Geonmo Gu, Yehyun Nam, Kunsoo Park, Zvi Galil, Giuseppe F. Italiano, Wook-Shin Han

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Learning with Memory-based Virtual Classes for Deep Metric Learning.

ByungSoo Ko, Geonmo Gu, Han-Gyu Kim

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning.

Geonmo Gu, ByungSoo Ko, Han-Gyu Kim

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fast Multiple Pattern Cartesian Tree Matching.

Geonmo Gu, Siwoo Song, Simone Faro, Thierry Lecroq, Kunsoo Park

Proceedings of the WALCOM: Algorithms and Computation - 14th International Conference, 2020

Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning.

ByungSoo Ko, Geonmo Gu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Symmetrical Synthesis for Deep Metric Learning.

Geonmo Gu, ByungSoo Ko

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Benchmark on Tricks for Large-scale Image Retrieval.

ByungSoo Ko, Minchul Shin, Geonmo Gu, HeeJae Jun, Tae Kwan Lee, Youngjoon Kim

CoRR, 2019

Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together.

Myoungji Han, Hyunjoon Kim, Geonmo Gu, Kunsoo Park, Wook-Shin Han

Proceedings of the 2019 International Conference on Management of Data, 2019

2017

Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image.

Wissam J. Baddar, Geonmo Gu, Sangmin Lee, Yong Man Ro

CoRR, 2017

Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data.

Geonmo Gu, Seong Tae Kim, Ki Hyun Kim, Wissam J. Baddar, Yong Man Ro

CoRR, 2017

Adaptive attention fusion network for visual question answering.

Geonmo Gu, Seong Tae Kim, Yong Man Ro

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2015

Fast Multiple Order-Preserving Matching Algorithms.

Myoungji Han, Munseong Kang, Sukhyeun Cho, Geonmo Gu, Jeong Seop Sim, Kunsoo Park

Proceedings of the Combinatorial Algorithms - 26th International Workshop, 2015