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ORCIDJuhong Min
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2020 – today
- 2024
[c12]Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia Schmid:
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering. CVPR 2024: 13235-13245- [c11]Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho:
3D Geometric Shape Assembly via Efficient Point Cloud Matching. ICML 2024 - [c10]Seungwook Kim, Juhong Min, Minsu Cho:
Efficient Semantic Matching with Hypercolumn Correlation. WACV 2024: 138-147 - [i12]Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia Schmid:
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering. CoRR abs/2404.06511 (2024) - [i11]Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho:
3D Geometric Shape Assembly via Efficient Point Cloud Matching. CoRR abs/2407.10542 (2024) - 2023
- [j1]Juhong Min
, Seungwook Kim, Minsu Cho:
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8159-8175 (2023) - [i10]Seungwook Kim, Juhong Min, Minsu Cho:
Efficient Semantic Matching with Hypercolumn Correlation. CoRR abs/2311.04336 (2023) - 2022
- [c9]Seungwook Kim, Juhong Min, Minsu Cho:
TransforMatcher: Match-to-Match Attention for Semantic Correspondence. CVPR 2022: 8687-8697 - [c8]Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho:
Peripheral Vision Transformer. NeurIPS 2022 - [i9]Seungwook Kim, Juhong Min, Minsu Cho:
TransforMatcher: Match-to-Match Attention for Semantic Correspondence. CoRR abs/2205.11634 (2022) - [i8]Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho:
Peripheral Vision Transformer. CoRR abs/2206.06801 (2022) - 2021
- [c7]Juhong Min, Minsu Cho:
Convolutional Hough Matching Networks. CVPR 2021: 2940-2950 - [c6]Juhong Min, Dahyun Kang, Minsu Cho:
Hypercorrelation Squeeze for Few-Shot Segmenation. ICCV 2021: 6921-6932 - [c5]Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho:
Relational Embedding for Few-Shot Classification. ICCV 2021: 8802-8813 - [c4]Jongmin Lee, Yoonwoo Jeong, Seungwook Kim, Juhong Min, Minsu Cho:
Learning to Distill Convolutional Features into Compact Local Descriptors. WACV 2021: 897-907 - [i7]Juhong Min, Minsu Cho:
Convolutional Hough Matching Networks. CoRR abs/2103.16831 (2021) - [i6]Juhong Min, Dahyun Kang, Minsu Cho:
Hypercorrelation Squeeze for Few-Shot Segmentation. CoRR abs/2104.01538 (2021) - [i5]Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho:
Relational Embedding for Few-Shot Classification. CoRR abs/2108.09666 (2021) - [i4]Juhong Min, Seungwook Kim, Minsu Cho:
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence. CoRR abs/2109.05221 (2021) - 2020
- [c3]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Learning to Compose Hypercolumns for Visual Correspondence. ECCV (15) 2020: 346-363 - [i3]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Learning to Compose Hypercolumns for Visual Correspondence. CoRR abs/2007.10587 (2020)
2010 – 2019
- 2019
- [c2]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features. ICCV 2019: 3394-3403 - [i2]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features. CoRR abs/1908.06537 (2019) - [i1]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
SPair-71k: A Large-scale Benchmark for Semantic Correspondence. CoRR abs/1908.10543 (2019)
2000 – 2009
- 2008
- [c1]Juhong Min, Jihun Ha, Sangki Yun, Inhye Kang, Hyogon Kim:
Secure Vehicular Communication for Safety Applications - A Measurement Study. VTC Spring 2008: 3016-3020
Coauthor Index
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