Baishan Guo

According to our database, Baishan Guo authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

SAM 3: Segment Anything with Concepts.

Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollár, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer

CoRR, November, 2025

The SA-FARI Dataset: Segment Anything in Footage of Animals for Recognition and Identification.

Dante Francisco Wasmuht, Otto Brookes, Maximillian Schall, Pablo Palencia, Chris Beirne, Tilo Burghardt, Majid Mirmehdi, Hjalmar S. Kühl, Mimi Arandjelovic, Sam Pottie, Peter Bermant, Brandon Asheim, Yi Jin Toh, Adam Elzinga, Jason Holmberg, Andrew Whitworth, Eleanor Flatt, Laura Gustafson, Chaitanya Ryali, Yuan-Ting Hu, Baishan Guo, Andrew Westbury, Kate Saenko, Didac Suris

CoRR, November, 2025

Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound.

Andros Tjandra, Yi-Chiao Wu, Baishan Guo, John Hoffman, Brian Ellis, Apoorv Vyas, Bowen Shi, Sanyuan Chen, Matt Le, Nick Zacharov, Carleigh Wood, Ann Lee, Wei-Ning Hsu

CoRR, February, 2025

Meta Audiobox Aesthetics: Unified Automatic Assessment for Speech, Music and Sound.

Andros Tjandra, Yi-Chiao Wu, Baishan Guo, John Hoffman, Brian Ellis, Apoorv Vyas, Bowen Shi, Sanyuan Chen, Matt Le, Nick Zacharov, Carleigh Wood, Ann Lee, Wei-Ning Hsu

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2025

2024

A grouped spatial-temporal model for PM _2.5 data and its applications on outlier detection.

Baishan Guo, Lei Wang, Rui Pan, Xuening Zhu

Commun. Stat. Simul. Comput., May, 2024

MusicFlow: Cascaded Flow Matching for Text Guided Music Generation.

K. R. Prajwal, Bowen Shi, Matthew Le, Apoorv Vyas, Andros Tjandra, Mahi Luthra, Baishan Guo, Huiyu Wang, Triantafyllos Afouras, David Kant, Wei-Ning Hsu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint.

Rui Pan, Yingqiu Zhu, Baishan Guo, Xuening Zhu, Hansheng Wang

IEEE Trans. Knowl. Data Eng., September, 2023

Audiobox: Unified Audio Generation with Natural Language Prompts.

Apoorv Vyas, Bowen Shi, Matthew Le, Andros Tjandra, Yi-Chiao Wu, Baishan Guo, Jiemin Zhang, Xinyue Zhang, Robert Adkins, William Ngan, Jeff Wang, Ivan Cruz, Bapi Akula, Akinniyi Akinyemi, Brian Ellis, Rashel Moritz, Yael Yungster, Alice Rakotoarison, Liang Tan, Chris Summers, Carleigh Wood, Joshua Lane, Mary Williamson, Wei-Ning Hsu

CoRR, 2023

PACO: Parts and Attributes of Common Objects.

Vignesh Ramanathan, Anmol Kalia, Vladan Petrovic, Yi Wen, Baixue Zheng, Baishan Guo, Rui Wang, Aaron Marquez, Rama Kovvuri, Abhishek Kadian, Amir Mousavi, Yiwen Song, Abhimanyu Dubey, Dhruv Mahajan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023