Sangho Lee

According to our database, Sangho Lee authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models.

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

CoRR, 2024

Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action.

Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Can Language Models Laugh at YouTube Short-form Videos?

Dayoon Ko, Sangho Lee, Gunhee Kim

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning.

Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song

CoRR, 2021

Unsupervised Representation Learning via Neural Activation Coding.

Yookoon Park, Sangho Lee, Gunhee Kim, David M. Blei

Proceedings of the 38th International Conference on Machine Learning, 2021

Self-Supervised Learning of Compressed Video Representations.

Youngjae Yu, Sangho Lee, Gunhee Kim, Yale Song

Proceedings of the 9th International Conference on Learning Representations, 2021

Parameter Efficient Multimodal Transformers for Video Representation Learning.

Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Jan Kautz, Yale Song

Proceedings of the 9th International Conference on Learning Representations, 2021

ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning.

Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2018

A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos.

Sangho Lee, Jinyoung Sung, Youngjae Yu, Gunhee Kim

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video.

Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Encoding Video and Label Priors for Multi-label Video Classification on YouTube-8M dataset.

Seil Na, Youngjae Yu, Sangho Lee, Jisung Kim, Gunhee Kim

CoRR, 2017

A Read-Write Memory Network for Movie Story Understanding.

Seil Na, Sangho Lee, Jisung Kim, Gunhee Kim

Proceedings of the IEEE International Conference on Computer Vision, 2017