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ORCIDSangho Lee 0008
Person information
- affiliation: Allen Institute for AI (Ai2), Seattle, WA, USA
Other persons with the same name
- Sangho Lee — disambiguation page
- Sangho Lee 0001
![[0000-0002-0412-7768]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0412-7768")
— Microsoft Research, Redmond, WA, USA (and 2 more) - Sangho Lee 0002 — Electron. Telecommun. Res. Inst. (ETRI), Daejeon, South Korea
- Sangho Lee 0003 — Atto Research Korea, Seoul, South Korea
- Sangho Lee 0004 — Gwangju Institute of Science and Technology (GIST), Gwangju, Korea
- Sangho Lee 0005 — Georgia Institute of Technology, USA
- Sangho Lee 0006 — Korea Institute of Science and Technology Information, Software Research Center, Daejeon, South Korea
- Sangho Lee 0007 — Sungkyunkwan University, Department of Chemistry, Suwon, South Korea (and 1 more)
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2020 – today
- 2024
[c9]Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi:
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CVPR 2024: 26429-26445- [i10]Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi:
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. CoRR abs/2409.17146 (2024) - 2023
- [c8]Dayoon Ko, Sangho Lee, Gunhee Kim:
Can Language Models Laugh at YouTube Short-form Videos? EMNLP 2023: 2897-2916 - [i9]Dayoon Ko, Sangho Lee, Gunhee Kim:
Can Language Models Laugh at YouTube Short-form Videos? CoRR abs/2310.14159 (2023) - [i8]Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi:
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CoRR abs/2312.17172 (2023) - 2021
- [c7]Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song:
ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning. ICCV 2021: 10254-10264 - [c6]Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Jan Kautz, Yale Song:
Parameter Efficient Multimodal Transformers for Video Representation Learning. ICLR 2021 - [c5]Youngjae Yu, Sangho Lee, Gunhee Kim, Yale Song:
Self-Supervised Learning of Compressed Video Representations. ICLR 2021 - [c4]Yookoon Park, Sangho Lee, Gunhee Kim, David M. Blei:
Unsupervised Representation Learning via Neural Activation Coding. ICML 2021: 8391-8400 - [i7]Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song:
Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning. CoRR abs/2101.10803 (2021) - [i6]Yookoon Park, Sangho Lee, Gunhee Kim, David M. Blei:
Unsupervised Representation Learning via Neural Activation Coding. CoRR abs/2112.04014 (2021) - 2020
- [i5]Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Jan Kautz, Yale Song:
Parameter Efficient Multimodal Transformers for Video Representation Learning. CoRR abs/2012.04124 (2020)
2010 – 2019
- 2018
- [c3]Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim:
A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video. AAAI 2018: 7525-7533 - [c2]Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim:
A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos. CVPR 2018: 1410-1419 - [i4]Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim:
A Deep Ranking Model for Spatio-Temporal Highlight Detection from a 360 Video. CoRR abs/1801.10312 (2018) - [i3]Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim:
A Memory Network Approach for Story-based Temporal Summarization of 360° Videos. CoRR abs/1805.02838 (2018) - 2017
- [c1]Seil Na, Sangho Lee, Jisung Kim, Gunhee Kim:
A Read-Write Memory Network for Movie Story Understanding. ICCV 2017: 677-685 - [i2]Seil Na, Youngjae Yu, Sangho Lee, Jisung Kim, Gunhee Kim:
Encoding Video and Label Priors for Multi-label Video Classification on YouTube-8M dataset. CoRR abs/1706.07960 (2017) - [i1]Seil Na, Sangho Lee, Jisung Kim, Gunhee Kim:
A Read-Write Memory Network for Movie Story Understanding. CoRR abs/1709.09345 (2017)
Coauthor Index
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