Dan Kondratyuk

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Accurate Models

Top Venues

Publications

Andrew Marmon, Grant Schindler, José Lezama, Dan Kondratyuk, Bryan Seybold, Irfan Essa
CamViG: Camera Aware Image-to-Video Generation with Multimodal Transformers. CoRR (2024)
Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, Yong Cheng, Ming-Chang Chiu, Josh Dillon, Irfan Essa, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, David A. Ross, Grant Schindler, Mikhail Sirotenko, Kihyuk Sohn, Krishna Somandepalli, Huisheng Wang, Jimmy Yan, Ming-Hsuan Yang, Xuan Yang, Bryan Seybold, Lu Jiang
VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR (2023)
Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception. CoRR (2023)
Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception. NeurIPS (2023)
Xiaofang Wang, Dan Kondratyuk, Eric Christiansen, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models. ICLR (2022)
Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong
MoViNets: Mobile Video Networks for Efficient Video Recognition. CVPR (2021)
Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. CoRR (2021)
Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong
MoViNets: Mobile Video Networks for Efficient Video Recognition. CoRR (2021)
Xiaofang Wang, Dan Kondratyuk, Kris M. Kitani, Yair Movshovitz-Attias, Elad Eban
Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades. CoRR (2020)
Dan Kondratyuk, Mingxing Tan, Matthew Brown, Boqing Gong
When Ensembling Smaller Models is More Efficient than Single Large Models. CoRR (2020)
Dan Kondratyuk, Jake Rodden, Elmer Duran
Integrity Coded Databases: An Evaluation of Performance, Efficiency, and Practicality. CoRR (2018)