Geonmo Gu

According to our database¹, Geonmo Gu authored at least 24 papers between 2015 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Links

On csauthors.net:

Bibliography

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Group Generalized Mean Pooling for Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2022

Large-scale Bilingual Language-Image Contrastive Learning.

[BibT_eX]

[DOI]

ByungSoo Ko

Geonmo Gu

CoRR, 2022

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

[BibT_eX]

[DOI]

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

Deep Hash Distillation for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

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

[BibT_eX]

[DOI]

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

2021

Fast algorithms for single and multiple pattern Cartesian tree matching.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2021

Self-Distilled Hashing for Deep Image Retrieval.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

ByungSoo Ko

Geonmo Gu

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

Symmetrical Synthesis for Deep Metric Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Adaptive attention fusion network for visual question answering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Geonmo Gu

Timeline

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On csauthors.net:

Bibliography

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