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Geonmo Gu
Geonmo Gu
AWS
amazon.com의 이메일 확인됨 - 홈페이지
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Towards Light-weight and Real-time Line Segment Detection
G Gu, B Ko, SH Go, SH Lee, J Lee, M Shin
75*2022
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning
B Ko, G Gu
CVPR 2020, 2020
712020
Compounding the performance improvements of assembled techniques in a convolutional neural network
J Lee, T Won, TK Lee, H Lee, G Gu, K Hong
arXiv preprint arXiv:2001.06268, 2020
622020
Compodiff: Versatile composed image retrieval with latent diffusion
G Gu, S Chun, W Kim, HJ Jun, Y Kang, S Yun
arXiv preprint arXiv:2303.11916, 2023
522023
Rtic: Residual learning for text and image composition using graph convolutional network
M Shin, Y Cho, B Ko, G Gu
arXiv preprint arXiv:2104.03015, 2021
472021
Deep hash distillation for image retrieval
YK Jang, G Gu, B Ko, I Kang, NI Cho
European Conference on Computer Vision, 354-371, 2022
462022
Proxy synthesis: Learning with synthetic classes for deep metric learning
G Gu, B Ko, HG Kim
Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1460-1468, 2021
462021
Language-only training of zero-shot composed image retrieval
G Gu, S Chun, W Kim, Y Kang, S Yun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
372024
Learning with memory-based virtual classes for deep metric learning
B Ko, G Gu, HG Kim
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
312021
Symmetrical Synthesis for Deep Metric Learning
G Gu, B Ko
AAAI 2020, 2020
282020
Robust spacecraft relative pose estimation via CNN-aided line segments detection in monocular images
M Bechini, G Gu, P Lunghi, M Lavagna
Acta Astronautica 215, 20-43, 2024
192024
Dynamics transfer gan: Generating video by transferring arbitrary temporal dynamics from a source video to a single target image
WJ Baddar, G Gu, S Lee, YM Ro
arXiv preprint arXiv:1712.03534, 2017
192017
Large-scale bilingual language-image contrastive learning
B Ko, G Gu
arXiv preprint arXiv:2203.14463, 2022
162022
Differential generative adversarial networks: Synthesizing non-linear facial variations with limited number of training data
G Gu, ST Kim, K Kim, WJ Baddar, YM Ro
arXiv preprint arXiv:1711.10267, 2017
132017
Granularity-aware adaptation for image retrieval over multiple tasks
J Almazán, B Ko, G Gu, D Larlus, Y Kalantidis
European Conference on Computer Vision, 389-406, 2022
82022
Adaptive attention fusion network for visual question answering
G Gu, ST Kim, YM Ro
2017 IEEE International Conference on Multimedia and Expo (ICME), 997-1002, 2017
82017
A benchmark on tricks for large-scale image retrieval
B Ko, M Shin, G Gu, HJ Jun, TK Lee, Y Kim
arXiv preprint arXiv:1907.11854, 2019
42019
Group generalized mean pooling for vision transformer
B Ko, HG Kim, B Heo, S Yun, S Chun, G Gu, W Kim
arXiv preprint arXiv:2212.04114, 2022
22022
Information retrieval systems and methods with granularity-aware adaptors for solving multiple different tasks
I Kalantidis, J Almazan, GU Geonmo, B Ko, D Larlus
US Patent App. 17/959,613, 2024
2024
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