CNN architectures for large-scale audio classification. - Shawn Hershey; Sourish Chaudhuri; Daniel P. W. Ellis; Jort F. Gemmeke; Aren Jansen; R. Channing Moore; Manoj Plakal; Devin Platt; Rif A. Saurous; Bryan Seybold; Malcolm Slaney; Ron J. Weiss; et al. (ICASSP, 2017)

Rethinking the Faster R-CNN Architecture for Temporal Action Localization. - Yu-Wei Chao; Sudheendra Vijayanarasimhan; Bryan Seybold; David A. Ross; Jia Deng 001; Rahul Sukthankar (CVPR, 2018)

Instance Embedding Transfer to Unsupervised Video Object Segmentation. - Siyang Li 002; Bryan Seybold; Alexey Vorobyov; Alireza Fathi; Qin Huang 006; C.-C. Jay Kuo (CVPR, 2018)

Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks. - Siyang Li 002; Bryan Seybold; Alexey Vorobyov; Xuejing Lei; C.-C. Jay Kuo (ECCV (3), 2018)

Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces. - Bryan Seybold; Emily Fertig; Alex Alemi; Ian Fischer (CoRR, 2019)

Optical Mouse: 3D Mouse Pose From Single-View Video. - Bo Hu; Bryan Seybold; Shan Yang; David A. Ross; Avneesh Sud; Graham Ruby; Yi Liu (CoRR, 2021)

What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. - David M. Chan; Austin Myers; Sudheendra Vijayanarasimhan; David A. Ross; Bryan Seybold; John F. Canny (CVPR Workshops, 2022)

Learning Audio-Video Modalities from Image Captions. - Arsha Nagrani; Paul Hongsuck Seo; Bryan Seybold; Anja Hauth; Santiago Manen; Chen Sun 002; Cordelia Schmid (ECCV (14), 2022)

Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features. - Vivek Rathod; Bryan Seybold; Sudheendra Vijayanarasimhan; Austin Myers; Xiuye Gu; Vighnesh Birodkar; David A. Ross (CoRR, 2022)

VideoPoet: A Large Language Model for Zero-Shot Video Generation. - Dan Kondratyuk; Lijun Yu; Xiuye Gu; José Lezama; Jonathan Huang; Grant Schindler; Rachel Hornung; Vighnesh Birodkar; Jimmy Yan; Ming-Chang Chiu; Krishna Somandepalli; Hassan Akbari; et al. (ICML, 2024)

CamViG: Camera Aware Image-to-Video Generation with Multimodal Transformers. - Andrew Marmon; Grant Schindler; José Lezama; Dan Kondratyuk; Bryan Seybold; Irfan Essa (CoRR, 2024)