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Journal Articles
- 2024
[j2]Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun:
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. Trans. Mach. Learn. Res. 2024 (2024)- 2021
- [j1]Siwoo Song, Geonmo Gu, Cheol Ryu, Simone Faro
, Thierry Lecroq, Kunsoo Park:
Fast algorithms for single and multiple pattern Cartesian tree matching. Theor. Comput. Sci. 849: 47-63 (2021)
Conference and Workshop Papers
- 2024
- [c14]Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun:
Language-only Efficient Training of Zero-shot Composed Image Retrieval. CVPR 2024: 13225-13234 - 2022
- [c13]Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin:
Towards Light-Weight and Real-Time Line Segment Detection. AAAI 2022: 726-734 - [c12]Young Kyun Jang, Geonmo Gu, ByungSoo Ko, Isaac Kang, Nam Ik Cho:
Deep Hash Distillation for Image Retrieval. ECCV (14) 2022: 354-371 - [c11]Jon Almazán, ByungSoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis:
Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks. ECCV (14) 2022: 389-406 - [c10]Geonmo Gu, Yehyun Nam, Kunsoo Park, Zvi Galil, Giuseppe F. Italiano, Wook-Shin Han:
Efficient Graph Isomorphism Query Processing using Degree Sequences and Color-Label Distributions. ICDE 2022: 872-884 - 2021
- [c9]Geonmo Gu, ByungSoo Ko, Han-Gyu Kim:
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. AAAI 2021: 1460-1468 - [c8]ByungSoo Ko, Geonmo Gu, Han-Gyu Kim:
Learning with Memory-based Virtual Classes for Deep Metric Learning. ICCV 2021: 11772-11781 - [c7]Geonmo Gu, Yehyun Nam, Kunsoo Park, Zvi Galil, Giuseppe F. Italiano, Wook-Shin Han:
Scalable Graph Isomorphism: Combining Pairwise Color Refinement and Backtracking via Compressed Candidate Space. ICDE 2021: 1368-1379 - 2020
- [c6]Geonmo Gu, ByungSoo Ko:
Symmetrical Synthesis for Deep Metric Learning. AAAI 2020: 10853-10860 - [c5]ByungSoo Ko, Geonmo Gu:
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. CVPR 2020: 7253-7262 - [c4]Geonmo Gu, Siwoo Song, Simone Faro, Thierry Lecroq, Kunsoo Park:
Fast Multiple Pattern Cartesian Tree Matching. WALCOM 2020: 107-119 - 2019
- [c3]Myoungji Han, Hyunjoon Kim, Geonmo Gu, Kunsoo Park, Wook-Shin Han:
Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together. SIGMOD Conference 2019: 1429-1446 - 2017
- [c2]Geonmo Gu, Seong Tae Kim, Yong Man Ro:
Adaptive attention fusion network for visual question answering. ICME 2017: 997-1002 - 2015
- [c1]Myoungji Han, Munseong Kang, Sukhyeun Cho, Geonmo Gu, Jeong Seop Sim, Kunsoo Park:
Fast Multiple Order-Preserving Matching Algorithms. IWOCA 2015: 248-259
Informal and Other Publications
- 2023
- [i17]Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun:
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. CoRR abs/2303.11916 (2023) - [i16]Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun:
Language-only Efficient Training of Zero-shot Composed Image Retrieval. CoRR abs/2312.01998 (2023) - 2022
- [i15]ByungSoo Ko, Geonmo Gu:
Large-scale Bilingual Language-Image Contrastive Learning. CoRR abs/2203.14463 (2022) - [i14]Jon Almazán, ByungSoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis:
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks. CoRR abs/2210.02254 (2022) - [i13]Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim:
Group Generalized Mean Pooling for Vision Transformer. CoRR abs/2212.04114 (2022) - 2021
- [i12]Geonmo Gu, ByungSoo Ko, Han-Gyu Kim:
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. CoRR abs/2103.15454 (2021) - [i11]ByungSoo Ko, Geonmo Gu, Han-Gyu Kim:
Learning with Memory-based Virtual Classes for Deep Metric Learning. CoRR abs/2103.16940 (2021) - [i10]Minchul Shin, Yoonjae Cho, ByungSoo Ko, Geonmo Gu:
RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network. CoRR abs/2104.03015 (2021) - [i9]Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin:
Towards Real-time and Light-weight Line Segment Detection. CoRR abs/2106.00186 (2021) - [i8]Young Kyun Jang, Geonmo Gu, ByungSoo Ko, Nam Ik Cho:
Self-Distilled Hashing for Deep Image Retrieval. CoRR abs/2112.08816 (2021) - 2020
- [i7]Geonmo Gu, ByungSoo Ko:
Symmetrical Synthesis for Deep Metric Learning. CoRR abs/2001.11658 (2020) - [i6]ByungSoo Ko, Geonmo Gu:
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning. CoRR abs/2003.02546 (2020) - 2019
- [i5]ByungSoo Ko, Minchul Shin, Geonmo Gu, HeeJae Jun, Tae Kwan Lee, Youngjoon Kim:
A Benchmark on Tricks for Large-scale Image Retrieval. CoRR abs/1907.11854 (2019) - [i4]Geonmo Gu, Siwoo Song, Simone Faro, Thierry Lecroq, Kunsoo Park:
Fast Multiple Pattern Cartesian Tree Matching. CoRR abs/1911.01644 (2019) - 2017
- [i3]Geonmo Gu, Seong Tae Kim, Ki Hyun Kim, Wissam J. Baddar, Yong Man Ro:
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data. CoRR abs/1711.10267 (2017) - [i2]Wissam J. Baddar, Geonmo Gu, Sangmin Lee, Yong Man Ro:
Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image. CoRR abs/1712.03534 (2017) - 2015
- [i1]Myoungji Han, Munseong Kang, Sukhyeun Cho, Geonmo Gu, Jeong Seop Sim, Kunsoo Park:
Fast Multiple Order-Preserving Matching Algorithms. CoRR abs/1506.05203 (2015)
Coauthor Index
aka: ByungSoo Ko
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