Sean Bell

According to our database, Sean Bell authored at least 13 papers between 2013 and 2024.

Collaborative distances:

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

2024

Movie Gen: A Cast of Media Foundation Models.

Adam Polyak, Amit Zohar, Andrew Brown, Andros Tjandra, Animesh Sinha, Ann Lee, Apoorv Vyas, Bowen Shi, Chih-Yao Ma, Ching-Yao Chuang, David Yan, Dhruv Choudhary, Dingkang Wang, Geet Sethi, Guan Pang, Haoyu Ma, Ishan Misra, Ji Hou, Jialiang Wang, Kiran Jagadeesh, Kunpeng Li, Luxin Zhang, Mannat Singh, Mary Williamson, Matt Le, Matthew Yu, Mitesh Kumar Singh, Peizhao Zhang, Peter Vajda, Quentin Duval, Rohit Girdhar, Roshan Sumbaly, Sai Saketh Rambhatla, Sam S. Tsai, Samaneh Azadi, Samyak Datta, Sanyuan Chen, Sean Bell, Sharadh Ramaswamy, Shelly Sheynin, Siddharth Bhattacharya, Simran Motwani, Tao Xu, Tianhe Li, Tingbo Hou, Wei-Ning Hsu, Xi Yin, Xiaoliang Dai, Yaniv Taigman, Yaqiao Luo, Yen-Cheng Liu, Yi-Chiao Wu, Yue Zhao, Yuval Kirstain, Zecheng He, Zijian He, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu, Arun Mallya, Baishan Guo, Boris Araya, Breena Kerr, Carleigh Wood, Ce Liu, Cen Peng, Dmitry Vengertsev, Edgar Schönfeld, Elliot Blanchard, Felix Juefei-Xu, Fraylie Nord, Jeff Liang, John Hoffman, Jonas Kohler, Kaolin Fire, Karthik Sivakumar, Lawrence Chen, Licheng Yu, Luya Gao, Markos Georgopoulos, Rashel Moritz, Sara K. Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petrovic, Yuming Du

CoRR, 2024

2023

Learning and Verification of Task Structure in Instructional Videos.

Medhini Narasimhan, Licheng Yu, Sean Bell, Ning Zhang, Trevor Darrell

CoRR, 2023

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data.

Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation.

Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell

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

2020

GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce.

Sean Bell, Yiqun Liu, Sami Alsheikh, Yina Tang, Edward Pizzi, M. Henning, Karun Singh, Omkar Parkhi, Fedor Borisyuk

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2017

Shading Annotations in the Wild.

Balazs Kovacs, Sean Bell, Noah Snavely, Kavita Bala

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Understanding Visual Appearance on the Web Using Large-Scale Crowdsourcing and Deep Learning.

Sean Bell

PhD thesis, 2016

Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks.

Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross B. Girshick

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Learning visual similarity for product design with convolutional neural networks.

Sean Bell, Kavita Bala

ACM Trans. Graph., 2015

Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences.

Andreas Veit, Balazs Kovacs, Sean Bell, Julian J. McAuley, Kavita Bala, Serge J. Belongie

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Material recognition in the wild with the Materials in Context Database.

Sean Bell, Paul Upchurch, Noah Snavely, Kavita Bala

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Intrinsic images in the wild.

Sean Bell, Kavita Bala, Noah Snavely

ACM Trans. Graph., 2014

2013

OpenSurfaces: a richly annotated catalog of surface appearance.

Sean Bell, Paul Upchurch, Noah Snavely, Kavita Bala

ACM Trans. Graph., 2013